AI Platform Lead: Prototyping, Adoption & Governance
HQI 78
Barcelona, Cataluña$90,000–$120,000/yr1d ago
isolutions AG seeks an hands-on AI Platform Owner to drive adoption of AI across our applications and value streams. You will identify AI use cases, validate ideas, and own end-to-end delivery from prototype to productive adoption. You will build prototypes using low-code/no-code and collaborate with developers, platform owners, product owners, and data engineers to implement complex AI solutions, ensuring governance and responsible AI practices. J-18808-Ljbffr
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Full TimeVia Partner
Open AI Platform Engineer and Infrastructure Support
HQI 83
Bengaluru, Karnataka, India1d ago
Open AI Platform Engineer and Infrastructure Support Description - Job Summary • This role is responsible for ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role is responsible for technical need analysis and project management. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Responsibilities • Led OpenAI platform engineering and infrastructure support activities, ensuring platform availability, scalability, and operational excellence. • Managed AI platform integrations, access governance, monitoring, and performance optimization to support enterprise adoption. • Collaborated with security, compliance, and infrastructure teams to deliver a secure and reliable AI ecosystem. • Supported AI enablement initiatives by providing technical guidance, troubleshooting, automation, and platform enhancements. • Data Analytics to support AI Governance and data management • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Assists in scheduling, determining manpower requirements, and estimating costs to project completion in order to meet user requirements. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • AI /Open AI and AI Strategy • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity • Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (India) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
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Full TimeVia Partner
Software Engineer, AI Platform Research High Performance Computing (HPC
HQI 86
Remote, East Coast Remote1d ago
Overview • As part of the Microsoft AI Health & Life Sciences (HLS) AI Platform Research High Performance Computing (HPC) Engineering team, you will participate in the creation and maintenance of application-managed development, test, and production cloud-resident HPC AI Research environments with a goal of high availability, fault-tolerance and scalability. As a Senior Software Engineer you will also be responsible for designing, implementing, and improving security solutions & integration across the organization, aligned with Microsoft’s global security, compliance, and privacy programs. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Job Responsibilities: • Work with engineering and architecture teams to design and implement applications for the management of Microsoft HLS AI Research Platforms, expanding automation & configuration management functionality, scalable software, and infrastructure services • Work with Microsoft divisions which support HLS Research platforms in large scale and cloud-centric environments and will directly contribute to continuous improvements of our infrastructure security posture. • Design and implement new tools and processes to automate configuration, deployment, monitoring, and operational activities using cloud infrastructure DevOps best practices • Develop & maintain full application stacks from the OS through custom applications using cloud-based computing environments. • Provide security expertise to internal clients on topics ranging from cloud architecture, hardening, monitoring, incident detection, and response, as well as gap analysis for security improvements and critical controls • Perform tasks related to securing and maintaining the products, tools, and processes for which you are responsible • Identify and resolve misalignments in priorities between service teams and ensure information is proactively and systematically shared with partners and stakeholders so issues can be resolved and objectives are met. Required Qualifications: • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: • Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field. • 6+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience in the design and development of complex distributed IT/Research compute solutions (e.g. cloud, distributed systems or high-performance computing experience). • Experience designing and building Research AI-focused application environments on primary cloud provider infrastructure, including services for big data analytics, scale out HPC/AI applications, GPU-centric ML and deep learning. • Proficiency with Azure-native IAAS/SAAS orchestration and configuration automation frameworks. • Proficiency with Linux system administration and with the development of SAAS, containerized application development, and automation tools. • Skill and ability to train others on technical and procedural topics. • Experience with securing environments on one or many of the major cloud providers to an industry certification standard, such as PCI or HITRUST. • Experience with DevOps tools such as Azure DevOps, GitHub, or BitBucket in a cloud-centric environment. • A team player capable of high performance, flexibility in a dynamic working environment to identify, define, recommend, and build optimal service solutions. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Full TimeVia Partner
Principal Engineer - Data & AI Platform
HQI 75
Sydney, Sydney Region1d ago
Helia is Australia’s first Lenders Mortgage Insurance (LMI) provider, with more than 60 years of expertise in the Australian housing market. We exist to accelerate financial wellbeing through home ownership. Our mission is to deliver innovative, tailored solutions in partnership with our customers, making the home ownership journey simpler and more accessible. We do this through efficient, customer-focused services powered by leading technology, data and digital solutions. As a Principal Engineer – Data & AI Platform, you’ll define and lead the evolution of an AI-native data platform within Snowflake, enabling AI workloads and intelligent applications at scale across the organisation. Working at the intersection of data and AI engineering, you’ll set the technical direction, architecture and engineering practices that embed AI directly into the data platform. You’ll play a key role in shaping future platform capabilities, uplifting engineering practices and ensuring our data and AI solutions are scalable, reliable and ready for what’s next. Responsibilities Define and lead the architecture and evolution of our AI-native data platform within Snowflake. Establish engineering standards, design patterns and best practices for scalable, high-performing and cost-efficient data and AI solutions. Lead the design of enterprise data models and architecture, including approaches such as Data Vault and common data models. Drive adoption of in-database AI workflows and shape platform capabilities to support LLM, vector and semantic use cases at scale. Partner with AI engineers and platform teams to integrate Snowflake-hosted intelligence into enterprise applications and workflows. Lead data and AI observability, monitoring, reliability and governance practices across the platform. Define and evolve AI-enabled engineering and SDLC practices, driving continuous improvement in engineering effectiveness. Act as a trusted technical advisor, translating complex business challenges into practical, AI-enabled platform solutions and influencing stakeholders at all levels. Provide technical leadership and mentorship, guiding engineers through complex architectural challenges and fostering a culture of engineering excellence, innovation and continuous learning. Build scalable data pipelines and AI applications using Snowflake-native AI capabilities. What You’ll Bring Deep experience with Snowflake, SQL, dbt and Python, ideally including Snowpark, and Snowflake capabilities such as Cortex and Snowflake ML. Strong experience designing and implementing AI-enabled data workflows, including LLM, vector, embedding or semantic use cases at scale. Extensive experience designing scalable data architectures and enterprise data models, including Data Vault, common data models or dimensional modelling. Strong understanding of data requirements for machine learning and advanced analytics, including feature engineering and production AI/ML workflows. Experience defining architecture standards and leading the adoption of AI-assisted development tools and engineering practices. Proven ability to provide technical leadership, solve complex architectural challenges and guide engineering teams. Strong stakeholder and communication skills, with the ability to influence at all levels and translate business needs into effective data and AI solutions. At Helia, we’re building a team focused on creating opportunities and brighter futures for our people. When you join Helia, you become part of an organisation that genuinely cares about what matters to you — whether that’s work-life balance, flexible ways of working, wellbeing, or professional growth. We offer a range of benefits and support designed to help you thrive both personally and professionally. Helia is a place where you can grow, learn and make a meaningful impact. We foster a collaborative and inclusive culture where innovation, continuous learning and cross-functional teamwork are encouraged to deliver great customer outcomes. Located in the heart of North Sydney, our office offers a vibrant workplace experience with some of Sydney’s best views. If you are interested in joining a company where you can realise your full potential and grow, we would love to hear from you! We have a diverse business community: our people, our customers and communities are reflective of this and as an organisation we are committed to continually hiring a diverse workforce. We ensure our people always feel supported and we do this by our openness to flexible work options and our commitment to inclusion, regardless of career level, life-stage, or experience.
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Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Portugal - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
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Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Spain - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
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Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Lithuania - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
—match
Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Poland - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
—match
Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Estonia - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Benefits & Perks: • 28 calendar days of paid vacation • Sick Leave Compensation (5 Paid Uncertified Sick Days) • Parental Leave: 18 Weeks Maternity / 4 Week Paternity • 2 Volunteer Days • Health Insurance (Employees + Dependents) • Life Insurance Plan • Utility Allowance (30 EUR/month, subject to taxation) • Fitness Plan (800 EUR/year) • Full-remote & On-demand access to Co-working space Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
—match
Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 86
Cyprus - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Benefits & Perks: • 25 calendar days of paid vacation • Sick Leave Compensation (5 Paid Uncertified Sick Days) • Parental Leave: 18 Weeks Maternity / 4 Week Paternity • 2 Volunteer Days • Medical Insurance (Employees + Dependents) • Hybrid Working Model • School Allowance (Up to €600/month for school aged kids) • Simcard w/ Unlimited Internet Access for active employees • Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
—match
Full TimeVia Partner
Senior Product Manager, AI Platform & Ecosystem
HQI 83
Czech Republic - Remote Remote2d ago
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data. We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend. This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft. Role Scope: You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike. MCP, Skills and GraphQL Strategy: • Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike. • Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise. • Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow. • Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core. Ecosystem, Quality and Distribution: • Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft. • Create a clear approach to MCP quality, reliability, governance, documentation and developer experience. • Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data. • Translate technical trade-offs into clear product decisions; hands-on coding is not required. What You Will Help Shape: • A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise. • GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences. • A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike. Your Impact: • Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems. • Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike. • Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL. • Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance. Your Qualifications: • 5+ years of PM experience in technical, platform, AI, developer, or enterprise software. • Experience with MCP and Skills, including how agents use tools and guidance to act effectively. • Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage. • Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes. • Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders. • Proactive and can-do: take ownership, solve problems, and adapt as you learn. Why This Role Is Unique: • You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored. • You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value. • The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus. What’s Next? • Introduction Call with a Recruiter • Conversation with the AI Product Director • Interview with Product and Engineering, Architecture representatives • Final interview with CPO and HRBP Benefits & Perks: • 5 Weeks of paid vacation • Sick Leave Compensation • 5 Paid Uncertified Sick Days • 2 weeks fully paid w/ medical certificate, additional • 4 weeks paid at 80% salary rate • Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity • 2 Volunteer Days • Meal Vouchers (CZK 220 per working day) • Annual Prague Travel Card (Lítačka) • Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡 Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚 Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗 Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.
—match
Full TimeVia Partner
Technical Program Lead - Clienteling & Retail AI Platform H/F - Freelance
HQI 74
75 - Paris2d ago
Type de contrat : Freelance TJM : selon profil Localisation : Paris 8e Télétravail : 1 à 2 jours par semaine Démarrage : impérativement au plus tard mi-décembre 2026 Durée : mission longue Séniorité : Senior Deadline de candidature : fin octobre 2026 CONTEXTE Dans le cadre d'un programme stratégique porté par un grand groupe international du secteur du luxe, nous recherchons un Technical Program Lead pour accompagner la construction et l'évolution d'une plateforme dédiée au Clienteling, au Retail et à l'Intelligence Artificielle. La plateforme a vocation à constituer une fondation technique réutilisable permettant aux différentes entités du Groupe de concevoir, déployer et opérer des capacités IA et agentiques de manière sécurisée et industrialisée. Le poste se situe à l'intersection de l'architecture, de l'IA enterprise, du delivery et de l'adoption. Il ne s'agit pas d'un rôle de coordination ou de PMO classique : le consultant doit apporter une véritable profondeur technologique et une vision prospective de l'écosystème IA. VOS MISSIONS VISION & STRATÉGIE DE PLATEFORME IA * Contribuer à définir la vision et la trajectoire de la Clienteling & Retail AI Platform. * Identifier les capacités technologiques à mutualiser et industrialiser. * Challenger les choix d'architecture et les orientations techniques. * Structurer les décisions relatives aux composants, services et patterns de la plateforme. * Identifier les opportunités, risques et dépendances associés aux nouvelles technologies IA. VEILLE TECHNOLOGIQUE & INNOVATION Une part importante du rôle consiste à maintenir une excellente compréhension de l'évolution rapide de l'écosystème IA. Vous devrez notamment : * suivre les évolutions des modèles, outils et frameworks IA ; * analyser les tendances autour des architectures agentiques et multi-agents ; * identifier les technologies susceptibles de créer de la valeur pour les usages Retail et Clienteling ; * évaluer leur maturité, leurs limites et leurs risques ; * transformer cette veille en propositions concrètes et exploitables. L'objectif n'est pas uniquement de suivre une roadmap existante : le consultant doit être capable de faire émerger de nouveaux sujets et de proposer spontanément des pistes d'évolution. ARCHITECTURE AGENTIC AI & IA ENTERPRISE * Contribuer à la définition des architectures permettant de développer et opérer des agents IA. * Challenger les différents modèles d'architecture et patterns agentiques. * Participer aux choix de plateforme et de services IA. * Contribuer aux réflexions autour de l'orchestration des agents, des modèles et des outils. * Prendre en compte les enjeux de sécurité, gouvernance, observabilité et industrialisation. * Faciliter la réutilisation des capacités IA entre plusieurs entités du Groupe. PILOTAGE TECHNIQUE & DELIVERY * Relier les décisions d'architecture aux contraintes opérationnelles de delivery. * Structurer les chantiers techniques et leurs dépendances. * Accompagner les équipes dans l'industrialisation des capacités de la plateforme. * Identifier les risques techniques et proposer les arbitrages nécessaires. * Contribuer à la roadmap et à la priorisation des initiatives. * S'assurer que les choix réalisés restent compatibles avec une utilisation à l'échelle d'un grand groupe international. RELATION AVEC LES ÉQUIPES TECHNIQUES ET MÉTIERS Le rôle nécessite une capacité à naviguer entre plusieurs niveaux d'interlocuteurs : * architectes ; * développeurs et équipes Engineering ; * équipes Data / AI ; * Product Managers ; * responsables Innovation ; * sponsors et responsables des différentes entités du Groupe. Vous devez être capable de rentrer dans le détail avec les équipes techniques tout en expliquant clairement les enjeux, choix et risques auprès de
—match
Full TimeVia Partner
Senior Software Engineer | Data & AI Platform
HQI 86
Arlington, Virginia2d ago
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer | Data & AI Platform Overview: Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality, and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once. We are looking for a Senior Software Engineer to be one of the first engineers in a new US-based team. You will start by making business definitions, metrics, and dataset relationships reusable across products, delivering key components independently and helping set the team's engineering habits. Early on, you will prototype answers to questions such as how shared metrics are versioned and where data access is enforced, then ship the first shared component with the product team that will use it. About the Role: • Design, build, test, and release shared services, libraries, and pipelines that enable and support other engineering teams. • Partner with product managers to understand business problems, challenge assumptions, and simplify solutions whenever possible. • Create clear and concise design proposals that outline trade-offs, recommendations, and implementation approaches. • Evaluate enterprise and vendor technologies through proofs of concept to inform build-versus-buy decisions. • Develop reusable, versioned interfaces with comprehensive documentation and automated deployment and testing capabilities. • Build secure, scalable, and observable components while supporting incident response, troubleshooting, and root cause analysis. • Participate in code and design reviews, mentor engineers, and contribute to the team's technology strategy and roadmap. All About You: • Strong expertise in software design, testing, secure coding practices, CI/CD, and operating production services. • Advanced SQL skills and hands-on development experience with Python or other modern programming languages such as Java, C#/.NET, Go, or TypeScript. • Experience working with modern cloud and data platforms such as Databricks, Snowflake, AWS, Azure, or Google Cloud. • Proven ability to design APIs, reusable libraries, and platform capabilities that are consumed by other engineering teams. • Strong understanding of data modeling, including entity relationships, aggregation challenges, data contracts, and version control of shared metrics. • Product-minded approach to engineering with strong technical communication and documentation skills. • Ability to understand end-user needs and build solutions that deliver measurable business value. Preferred Qualifications: • Experience working with semantic layers, metric stores, dbt, data catalogs, or business glossary platforms. • Experience building tools, frameworks, or supporting context for AI agents and large language model (LLM) applications. • Knowledge of data governance, access controls, row-level security, and handling sensitive or regulated data. • Experience using AI-powered engineering tools to improve productivity, with sound judgment regarding accuracy, risk, and appropriate use cases. • Demonstrated curiosity, continuous learning mindset, and passion for driving innovation through technology. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [contact via application link] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/19/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

 Pay Ranges Arlington, Virginia: $132,000 - $212,000 USD
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Full TimeVia Partner
Manager, Software Engineering | Data & AI Platform
HQI 86
Arlington, Virginia2d ago
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Software Engineering | Data & AI Platform Overview: Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality, and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once. We are looking for a Manager, Software Engineering to lead a new US-based team. Your first challenge is making business definitions, metrics and dataset relationships reusable across products, and the scope will grow from there. You will spend 40-50% of your time hands-on. In your first few months you will agree with product how you make decisions together, set the target architecture and ship a first end-to-end slice. About the Role: • Partner with product management to understand users, shape scope and priorities, and share accountability for outcomes. • Manage and develop engineers: set goals, give regular feedback, run performance reviews, and help attract and grow talent as the team expands. • Own the team's technical direction and architecture: decide what to build, reuse or influence, and review designs and code. • Spend 40-50% of your time hands-on where it counts most: critical designs, high-leverage code, and key reviews. • Own engineering execution and dependencies, turning ambiguity into clear decisions and plans. • Set and uphold standards for design, testing, release, reliability, and cost, with clear ownership of production services. • Communicate progress, risks, and decisions to senior leaders, and help the team use AI tools where they genuinely improve speed or quality. All About You: • Experience managing engineers, including performance management and career development. • Strong product judgement and a record of shaping what is built, not just delivering it. • Recent hands-on experience designing and building production data services on a cloud platform such as Databricks, Snowflake or AWS. • Advanced knowledge of data modeling and data governance. • Ability to turn ambiguity into clear decisions and influence across teams. • Clear communication with technical and senior audiences. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [contact via application link] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 01/19/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

 Pay Ranges Arlington, Virginia: $161,000 - $266,000 USD
The application window is expected to close on: 11/26/2026 MEET THE TEAM The AI Software & Platform Team designs and operates the core platform infrastructure that connects Cisco’s enterprise product dashboards with intelligent, agentic AI capabilities. By building a multi-service architecture of agentic orchestrators and high-throughput API gateways, the team ensures that AI capabilities are integrated seamlessly into the larger Cisco ecosystem to drive real-time operational workflows at scale. The team is composed of highly technical engineers working with Go and Python microservices, fostering a vibe of high-scale innovation and security resilience. It is an exciting time to join the team as we define the future of agentic AI orchestration and distributed system trust within the enterprise. YOUR IMPACT As a Senior Technical Lead , you will own the architectural direction and cross-service technical execution for our distributed AI platform to ensure robust identity and multi-tenancy. You will author end-to-end technical specifications for platform capabilities to decompose complex system designs into executable work streams across multiple engineering teams. You will harden service-to-service communication by deploying cryptographic identity signing and zero-trust verification to enhance fleet security. Additionally, you will lead structured CVE remediation and production triage to maintain system stability and security resilience. Success in this role means establishing high engineering standards and mentoring senior engineers to drive the platform's technical maturity. MINIMUM QUALIFICATIONS • Education & Experience : Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline + 12+ years of professional software engineering experience; OR Master’s degree with 8+ years; OR PhD with 5+ years; OR an equivalent combination of education and verified industry software engineering experience. • Distributed Systems Engineering : Minimum of 7 years designing, building, and operating high-concurrency, distributed backend microservices in production, with experience in both Go and Python . • Identity & Security : Minimum of 4 years designing and implementing enterprise authentication and authorization systems (e.g., OAuth 2.0 / OIDC, JWT, RFC 8693 token exchange, mTLS ). • AI Software Development Lifecycle (AI-SDLC): Experience leveraging code gen tools and agents for software development. • AI & Agentic Systems : Experience building or integrating LLM orchestration frameworks , agentic runtimes (e.g., ReAct), tool-calling interfaces, or Model Context Protocol (MCP) servers. • Cloud Infrastructure : Experience deploying and operating services on Kubernetes with automated secret management and distributed tracing ( OpenTelemetry/APM ). PREFERRED QUALIFICATIONS • Experience designing API gateways , gRPC/protobuf service definitions, and shared client libraries across large monorepos. • Experience with distributed workflow engines (e.g., Temporal ) and real-time event streaming (SSE, WebSockets, Kafka). • Experience with feature flag lifecycle management and targeting using tools like LaunchDarkly . • Experience leading remediation programs in collaboration with internal offensive security or red-team penetration testing groups. • Experience integrating vector databases (e.g., Weaviate, Milvus, Qdrant) and relational databases ( PostgreSQL/pgx ) at scale. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $256,900.00 to $333,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next • Additional paid time away may be requested to deal with critical or emergency issues for family members • Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: • .75% of incentive target for each 1% of revenue attainment up to 50% of quota; • 1.5% of incentive target for each 1% of attainment between 50% and 75%; • 1% of incentive target for each 1% of attainment between 75% and 100%; and • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $256,900.00 - $383,500.00 Non-Metro New York state & Washington state: $234,400.00 - $341,100.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
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Full TimeVia Partner
Engineering Manager, AI Platform
HQI 86
San Francisco$272,000–$355,000/yr2d ago
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. What You'll Do • Lead and grow a team of engineers building the core AI platform that powers Harvey’s products • Define the roadmap for shared AI infrastructure, including model gateways and routing, agent orchestration, tool calling, prompt and context management, and long-running job execution • Partner with Product, Research, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives • Build and scale evaluation, testing, and monitoring systems so teams can measure quality, catch regressions, and ship AI features with confidence • Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with model providers on capacity, rate limits, and new capabilities • Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt • Contribute to code and architecture reviews, unblock teams, and lead by example when needed • Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment What You Have • 2+ years of experience in a software engineering management role leading platform, infrastructure, or full stack product engineering teams, preferably in high-growth environments • 5+ years of experience as a backend, infrastructure, or full stack engineer • A track record of leading high-performing, engaged engineering teams • Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) • Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them • Strong backend engineering skills in modern languages and frameworks (e.g. Python, Go, Node) and familiarity with distributed systems concepts • Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems • A plus: Experience with durable job execution frameworks, MCP or other tool and context protocols, LLM observability and eval tooling, or working directly with model providers Compensation $272,000 - $355,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here . #LI-AP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [contact via application link]
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Full TimeVia Partner
Senior / Staff AI Platform Engineer
HQI 93
San Francisco$228,000–$363,000/yr3d ago
About Suno We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). About the Role Suno's song creation agent is becoming something other teams build on. As a Senior AI Platform Engineer, you'll build the APIs, SDKs and shared tooling, including eval infrastructure, tracing and model routing, that let engineers across Suno ship agent features faster. You'll work closely with the agent team, partner teams and Infra, and your customers are other engineers, so adoption is a measure of success. You'll help shape the platform as it grows. Listen to the song we made about it: https://suno.com/s/bxgQXsn06Vz3KKEn What You'll Do • Design and build the platform APIs and SDKs that other teams use to build agent features. • Develop shared eval infrastructure, including the eval runner, results storage and dashboards, and help the team decide what to build and what to buy. • Implement end-to-end tracing and observability, so any request can be followed across services from prompt to audio. • Manage model provider routing, fallback, rate limits and cost controls. • Partner with engineering teams across Suno to onboard them onto the platform with docs and hands-on support, and with Infra on the reliability and scale of the agent runtime. • Help more people turn ideas into music by making it faster and safer for teams across Suno to ship agent features. What You'll Need Must-Haves • 4–6 years building and scaling backend or platform systems in production, in any language. • Experience on a team that supports other developer teams, including building a platform, API or SDK that other teams adopted. • Experience with production LLM or agent systems, for external or internal users. • Depth in distributed systems and observability, including tracing across services. • Comfort working with internal customers: scoping with partner teams, earning adoption and handling ambiguity. Nice-to-Haves • Experience building an eval or tracing product. • Experience running LLM gateway or model routing infrastructure. • Experience writing SDKs that other teams use. • Experience with Python backends. Work Location Policy This role is expected to work from the designated Suno SF office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience. Listen to the Suno version of this role! https://suno.com/s/bxgQXsn06Vz3KKEn Additional Notes Applicants must be eligible to work in the US. Perks & Benefits for Full-Time Employees • Company Equity Package • 401(k) with 3% Employer Match & Roth 401(k) • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) • 11 Paid Holidays + Unlimited PTO & Sick Time • 16 Weeks of Paid Parental Leave • Creative Education Stipend • Generous Commuter Allowance • In-Office Lunch (5 days per week) Compensation • $228K- $363K Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
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Full TimeVia Partner
Staff Product Manager, Generative AI Platform
HQI 89
London, United Kingdom3d ago
Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat. DoorDash, Deliveroo and Wolt now operate as one global company. Behind the AI experiences millions of people use every day, from shopping assistants to customer support agents, sits one shared Generative AI platform. Our team builds it. We're looking for a Staff Product Manager in London to own major parts of that platform. Your customers are the engineers and ML researchers across all three brands who build AI products and agents. You'll work with engineering and product leaders in Europe and the US, and your decisions will shape how AI gets built across every market we operate in. What You'll Be Doing Set the strategy and roadmap for core parts of our GenAI platform: model access and routing, agent infrastructure, and evaluation and observability. Build one platform for three brands. Spot the patterns across Deliveroo, Wolt and DoorDash teams and turn them into shared building blocks, so a capability built once reaches every market. Shape our model portfolio across frontier and open-weight models. Decide where we build, buy or partner in an ecosystem that changes month to month. Make agents production-ready. Give teams safe access to company knowledge, tools and systems, with the quality, latency and cost controls needed to run agents at scale. Own the evaluation strategy so teams can prove quality before launch and keep improving it after. Stay close to your customers. Work with the teams shipping AI experiences, measure adoption and time-to-production, and let real production use drive the roadmap. Lead at a senior level, presenting to senior technical leadership and influence strategy beyond your own roadmap. What You'll Need to Thrive Our ideal candidate brings deep expertise in some of these areas and curiosity to grow in others: Significant product management experience (typically 8+ years, or equivalent), including owning a technical platform, developer product, or ML or data infrastructure. Hands-on experience with LLM-based products or platforms in production, such as assistants, agents, evaluation or inference. GenAI platforms are a young field, so we care more about depth than years. A platform mindset. You notice the problem five teams keep solving and turn it into one capability everyone can use. The ability to go deep with engineers and ML researchers, then explain the trade-off in plain language to a senior leader. A track record of leading large, ambiguous areas on your own and aligning stakeholders across companies, countries and time zones. Comfort with regular overlap with US time zones, including some late-afternoon and evening calls. What Success Looks Like A team in any of our three brands can go from idea to a reliable AI product dramatically faster. That happens because the hard parts (models, inference, evaluation, tooling, observability, governance and agent infrastructure) are solved once at the platform layer and get better for everyone. Why Join Us? Real scale from day one. Your platform powers AI used by millions of consumers, merchants and couriers across three brands. Frontier work, real constraints. You'll work with the latest models and agent patterns, then make them reliable, affordable and compliant in production. Visible impact. Platform decisions here get reviewed by senior leadership and adopted across the company. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash, Deliveroo and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion We know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at accommodations@deliveroo.co.uk and we’ll be happy to help ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .
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Full TimeVia Partner
Executive VP End-User Collaboration & AI Platform Engineering
HQI 78
Singapore$3,360–$5,520/mo3d ago
DBS Bank Ltd. seeks a Senior Vice President to lead the End User Collaborative Services Engineering function, driving strategy, architecture, and lifecycle management of enterprise collaboration platforms. You will oversee Windows, MacOS, M365, Intune, and AI-enabled workplace initiatives, ensuring security, compliance, and scalable operations across DBS. The role requires 12 years of leadership in enterprise environments. J-18808-Ljbffr
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Full TimeVia Partner
Sr Engineer - AI Platforms / Context Intelligence (API's, search, information retrieval, agentic workflows)
HQI 86
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 554453d ago
The pay range is $98,000.00 - $176,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A SR ENGINEER – CONTEXT INTELLIGENCE (AI PLATFORM) About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . As a Senior Engineer – AI Platforms, Context Intelligence you will be part of a team building the enterprise context and knowledge foundation that enables AI applications and agents to access, retrieve and reason over trusted enterprise information. You will operate at the intersection of AI engineering, information retrieval, search, knowledge systems, and distributed platform engineering. You will design and build scalable context services that enable semantic and hybrid retrieval, grounding, memory, enterprise knowledge access, and high-quality AI experiences. A key part of this role is turning complex context and knowledge challenges into reusable platform capabilities. You will build retrieval services, memory systems, knowledge ingestion and indexing pipelines, context orchestration capabilities, and observability that can be adopted consistently across AI applications and agents. As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight into application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You demonstrate expertise in applying appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement architecture independently while influencing fellow engineers through software designs, implementation guidance, code reviews, and technical mentorship. Use your skills, experience, and talents to be part of groundbreaking thinking and visionary goals. As a Sr. Engineer within Context Intelligence, you’ll take the lead as you: • Design, build, and operate scalable retrieval and context services that enable AI applications and agents to access trusted enterprise knowledge. • Build semantic, hybrid, and enterprise search capabilities using modern information retrieval techniques, embeddings, vector databases, indexing, and search infrastructure. • Develop retrieval-augmented generation (RAG) and grounding patterns that improve the relevance, quality, and trustworthiness of AI responses. • Build memory and context-management capabilities for conversational and agentic systems, including short- and long-term context and agent memory patterns. • Design and implement enterprise knowledge ingestion, content indexing, metadata, synchronization, and connector capabilities that keep knowledge accessible and fresh. • Build context orchestration services that select, assemble, and optimize the information supplied to AI applications and agents. • Develop retrieval observability and diagnostics, including grounding quality, retrieval quality, search metrics, freshness, performance, and operational health. • Apply strong distributed systems and platform engineering principles to build reliable, scalable, secure, and maintainable stateful services and indexing systems. • Design and operate containerized services on Kubernetes and contribute to resilient, multi-region architectures for enterprise-scale context and knowledge workloads. • Evaluate emerging retrieval, RAG, GraphRAG, knowledge graph, semantic technology, and enterprise search approaches through research and proof-of-concept activities. • Lead code reviews, design reviews, testing, debugging, performance optimization, and architecture discussions while maintaining high engineering and operational standards. • Partner with AI platform, application engineering, product, architecture, and data teams to understand context needs and translate them into reusable platform capabilities. • Diagnose complex retrieval, indexing, grounding, memory, and production issues, identify systemic causes, and develop solutions that prevent repeat occurrences. • Share technical patterns and best practices and help engineering teams successfully adopt Context Intelligence platform capabilities. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: • 4-year degree or equivalent experience • 5+ years of software development experience with strong hands-on engineering and programming skills • Strong experience designing, building, testing, deploying, and operating production-grade applications, platform services, or distributed systems • Experience with information retrieval, search architecture, RAG, embeddings, vector databases, or related context and knowledge technologies • Strong proficiency in one or more modern programming languages and experience developing APIs, services, and data-intensive systems • Experience building or integrating semantic search, hybrid search, retrieval services, indexing pipelines, or enterprise search capabilities • Understanding of memory systems, context management, grounding, and retrieval patterns for LLM-powered or agentic applications • Strong understanding of distributed systems, stateful services, scalability, reliability, performance, security, and production operations • Experience with Kubernetes, containers, CI/CD, observability, testing, debugging, and operational monitoring • Experience with search infrastructure, distributed indexing, metadata systems, knowledge ingestion, or enterprise data connectors • Ability to take ambiguous requirements, understand the context needs of AI systems and translate them into concrete technical designs and working software • Demonstrated ability to evaluate retrieval and system tradeoffs across relevance, latency, freshness, scale, reliability, and cost • Strong problem-solving skills with the ability to diagnose complex retrieval, indexing, and operational issues and eliminate repeat occurrences • Experience collaborating with platform, product, application engineering, architecture, and data teams across organizational boundaries • Ability to communicate complex technical concepts clearly, influence design decisions, mentor engineers, and raise engineering standards within a team • Maintains technical knowledge within areas of expertise and stays current with evolving retrieval, knowledge, AI, and platform technologies through formal training and self-directed learning This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 11/19/2026