New York City Jobs

MongoDBHQI 93

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager, and Compass. Join our team and be at the forefront of innovation and creativity as we scale cloud deployments for our customers. This role will be based remotely in Canada. Life in MongoDB Technical Services As part of the Support organization, you will be directly interfacing with our largest customers and their most difficult problems. There will almost certainly be sweat. But don’t worry – you’ll have time to prepare before you take on your first escalation. The limits of your understanding will constantly be pushed, and you’ll be challenged to grow. Underlying it all is the fuel that drives our team: customer obsession. We keep mission-critical deployments online, recover from high-pressure incidents with grace and humility, become trusted advisors, and work so closely with our customers that they would swear we were part of their team. Role scope: This is a technical Team Lead role rather than a traditional people-manager role. The Lead is expected to provide day-to-day technical and operational leadership, while formal personnel decisions remain with the manager. As the Cloud Support Team Lead, you will: Lead and mentor a small, distributed team as a hands-on technical player-coach Spend approximately 50% of your time directly supporting customer issues, complex cases, escalations, and technical investigations. Own frontline service quality by monitoring queue health, case and chat aging, diagnostic quality, staffing coverage, and workload allocation Lead high-visibility customer escalations and incidents, coordinating Engineering, Product, Support Operations, and other stakeholders Turn recurring customer problems and support trends into product feedback, process improvements, training, and reusable technical content Create and maintain SOPs, knowledge articles, training materials, and retrospectives that improve team capability and consistency Represent Technical Services in cross-functional and cross-region programs, driving execution through influence Who You Are You are a calm, empathetic technical leader who earns trust with customers, engineers, and cross-functional partners You are comfortable leading through influence, ambiguity, and incomplete information You use data to identify risks, prioritize work, and allocate team capacity You balance hands-on customer support with coaching, quality management, and continuous improvement What you need The ideal candidate will have experience in most of the following areas: Supporting customers through cases, chats, calls, and high-severity escalations. Preferred experience with running high-severity incidents and follow-the-sun procedures Leading or mentoring a small team of highly technical support engineers Strong troubleshooting experience with MongoDB Atlas or comparable cloud database platforms, including cloud infrastructure, Linux, networking, security, storage, and performance A disciplined diagnostic process covering investigation, customer communication, escalation judgment, and root-cause analysis. Experience leveraging AI tools to broaden, improve and accelerate technical diagnostic processes preferred Coordinating customer-impacting incidents and internal technical responders Improving support operations through queue analysis, workload allocation, staffing coverage, training, and process improvement Strong communication and collaboration skills across Engineering, Product, Security, Legal, Billing, Support Operations, and global Technical Services Nice to Have Experience with Cloud Manager, Compass, or large-scale relational or NoSQL databases Experience managing FIN(Intercom), chat-support, case-management, or similar customer-support workflows Experience leading incident reviews, RCAs, operational audits, or security/compliance improvements Experience creating technical training, LMS content, knowledge programs, or enablement assessments BONUS: Experience with DevOps, infrastructure-as-code, observability, automation, or scripting Success Measures First 3 months: Build relationships, understand team operations and customer demand, and begin contributing to complex escalations. Learn the Atlas product and master most common customer use cases By 6 months: Independently lead escalations, establish recurring queue and quality reviews, improve coverage, and deliver at least one durable process or enablement improvement. Acquire Atlas Administrator certification By 12 months: Demonstrate measurable improvement in service quality, escalation execution, team capability, coverage, and cross-functional delivery while remaining hands-on technically About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3273573572 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $0.01 — $0.01 USD

OpenAIHQI 93

About the Team The Demo Studio translates OpenAI’s most advanced capabilities into tangible, high-impact experiences for customers. We design and deliver the demos, applications, and environments that help executives understand what is possible with AI. Our work sits at the intersection of product, engineering, design, and go-to-market. We operate as a hybrid of product studio and live production team, building experiences that are both technically credible and narratively compelling. About the Role We’re looking for a Demo Studio Engineer to build and deliver compelling demonstrations for OpenAI’s events, webinars, and customer engagements. You’ll independently own defined demo projects from initial brief through delivery, translating approved product positioning and audience needs into working applications, believable workflows, and clear stories. You’ll build and test the underlying experience, prepare it for live use, and present it directly to executive, technical, and industry audiences. Working within the team’s broader priorities, you’ll make practical implementation decisions, anticipate risks, and collaborate with partners to deliver dependable results. You’ll also improve the tools, documentation, and reusable components that make our demos easier to build and deliver. This role is ideal for a hands-on builder who combines technical fluency, product thinking, and storytelling, cares about the details, and enjoys making complex technology understandable through experience. In this role, you will: - Independently delivering defined demo projects for events, webinars, and executive engagements, managing milestones and clearly communicating progress, risks, and dependencies. - Translating approved positioning, real product capabilities, and customer needs into clear narratives, realistic workflows, and useful takeaways. - Building working applications, high-fidelity demo environments, and AI-powered workflows using ChatGPT Work, Codex, APIs, approved data, and connected tools. - Testing and debugging demos, validating capabilities and known limitations, and preparing practical fallback and recovery plans. - Personally presenting live and recorded demonstrations, adapting the story and technical detail to the audience and responding thoughtfully to questions. - Preparing presenter guidance, participating in rehearsals, and troubleshooting technical issues during delivery. - Collaborating with Product, Research, Engineering, Design, Product Marketing, Solutions Engineering, GTM, and Events to align demos with technical truth, approved claims, customer context, and program requirements. - Incorporating product, sales, and customer success perspectives so demonstrations address real customer questions and support adoption. - Adapting established demos for different audiences and formats while maintaining quality and accuracy. - Creating reusable components, reference demos, and documentation, and incorporating feedback to improve the team’s work. - Identifying scope and delivery tradeoffs early, proposing solutions, and seeking alignment when decisions affect broader priorities or commitments. You might thrive in this role if you: - Has demonstrated experience building technical demos, prototypes, customer-facing applications, or similar interactive experiences. - Can independently take a moderately scoped project from brief to delivery, anticipate challenges, and communicate effectively with stakeholders. - Is comfortable writing and debugging code, working with APIs and data, and connecting tools into useful AI-powered workflows. - Brings strong working knowledge of their technical area and practical judgment about usability, reliability, and technical limitations. - Can turn complex technical concepts into clear stories grounded in real customer needs. - Has experience presenting technical work live and can communicate clearly with executive, technical, and nontechnical audiences. - Works collaboratively across functions, incorporates different perspectives, and constructively challenges assumptions. - Cares deeply about craft and detail, follows through on commitments, and stays calm when troubleshooting under pressure. - Is curious about AI and actively explores how new capabilities can create useful customer experiences. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

MongoDBHQI 91

Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas, Cloud Manager, and Compass. Join our team and be at the forefront of innovation and creativity as we scale cloud deployments for our customers. This role will be based remotely in Canada. Life in MongoDB Technical Services As part of the Support organization, you will be directly interfacing with our largest customers and their most difficult problems. There will almost certainly be sweat. But don’t worry – you’ll have time to prepare before you take on your first escalation. The limits of your understanding will constantly be pushed, and you’ll be challenged to grow. Underlying it all is the fuel that drives our team: customer obsession. We keep mission-critical deployments online, recover from high-pressure incidents with grace and humility, become trusted advisors, and work so closely with our customers that they would swear we were part of their team. Role scope: This is a technical Team Lead role rather than a traditional people-manager role. The Lead is expected to provide day-to-day technical and operational leadership, while formal personnel decisions remain with the manager. As the Cloud Support Team Lead, you will: Lead and mentor a small, distributed team as a hands-on technical player-coach Spend approximately 50% of your time directly supporting customer issues, complex cases, escalations, and technical investigations. Own frontline service quality by monitoring queue health, case and chat aging, diagnostic quality, staffing coverage, and workload allocation Lead high-visibility customer escalations and incidents, coordinating Engineering, Product, Support Operations, and other stakeholders Turn recurring customer problems and support trends into product feedback, process improvements, training, and reusable technical content Create and maintain SOPs, knowledge articles, training materials, and retrospectives that improve team capability and consistency Represent Technical Services in cross-functional and cross-region programs, driving execution through influence Who You Are You are a calm, empathetic technical leader who earns trust with customers, engineers, and cross-functional partners You are comfortable leading through influence, ambiguity, and incomplete information You use data to identify risks, prioritize work, and allocate team capacity You balance hands-on customer support with coaching, quality management, and continuous improvement What you need The ideal candidate will have experience in most of the following areas: Supporting customers through cases, chats, calls, and high-severity escalations. Preferred experience with running high-severity incidents and follow-the-sun procedures Leading or mentoring a small team of highly technical support engineers Strong troubleshooting experience with MongoDB Atlas or comparable cloud database platforms, including cloud infrastructure, Linux, networking, security, storage, and performance A disciplined diagnostic process covering investigation, customer communication, escalation judgment, and root-cause analysis. Experience leveraging AI tools to broaden, improve and accelerate technical diagnostic processes preferred Coordinating customer-impacting incidents and internal technical responders Improving support operations through queue analysis, workload allocation, staffing coverage, training, and process improvement Strong communication and collaboration skills across Engineering, Product, Security, Legal, Billing, Support Operations, and global Technical Services Nice to Have Experience with Cloud Manager, Compass, or large-scale relational or NoSQL databases Experience managing FIN(Intercom), chat-support, case-management, or similar customer-support workflows Experience leading incident reviews, RCAs, operational audits, or security/compliance improvements Experience creating technical training, LMS content, knowledge programs, or enablement assessments BONUS: Experience with DevOps, infrastructure-as-code, observability, automation, or scripting Success Measures First 3 months: Build relationships, understand team operations and customer demand, and begin contributing to complex escalations. Learn the Atlas product and master most common customer use cases By 6 months: Independently lead escalations, establish recurring queue and quality reviews, improve coverage, and deliver at least one durable process or enablement improvement. Acquire Atlas Administrator certification By 12 months: Demonstrate measurable improvement in service quality, escalation execution, team capability, coverage, and cross-functional delivery while remaining hands-on technically About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 3273573572 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $0.01 — $0.01 USD

openaiHQI 84

About the Team The Demo Studio translates OpenAI’s most advanced capabilities into tangible, high-impact experiences for customers. We design and deliver the demos, applications, and environments that help executives understand what is possible with AI. Our work sits at the intersection of product, engineering, design, and go-to-market. We operate as a hybrid of product studio and live production team, building experiences that are both technically credible and narratively compelling. About the Role We’re looking for a Demo Studio Engineer to build and deliver compelling demonstrations for OpenAI’s events, webinars, and customer engagements. You’ll independently own defined demo projects from initial brief through delivery, translating approved product positioning and audience needs into working applications, believable workflows, and clear stories. You’ll build and test the underlying experience, prepare it for live use, and present it directly to executive, technical, and industry audiences. Working within the team’s broader priorities, you’ll make practical implementation decisions, anticipate risks, and collaborate with partners to deliver dependable results. You’ll also improve the tools, documentation, and reusable components that make our demos easier to build and deliver. This role is ideal for a hands-on builder who combines technical fluency, product thinking, and storytelling, cares about the details, and enjoys making complex technology understandable through experience. In this role, you will: - Independently delivering defined demo projects for events, webinars, and executive engagements, managing milestones and clearly communicating progress, risks, and dependencies. - Translating approved positioning, real product capabilities, and customer needs into clear narratives, realistic workflows, and useful takeaways. - Building working applications, high-fidelity demo environments, and AI-powered workflows using ChatGPT Work, Codex, APIs, approved data, and connected tools. - Testing and debugging demos, validating capabilities and known limitations, and preparing practical fallback and recovery plans. - Personally presenting live and recorded demonstrations, adapting the story and technical detail to the audience and responding thoughtfully to questions. - Preparing presenter guidance, participating in rehearsals, and troubleshooting technical issues during delivery. - Collaborating with Product, Research, Engineering, Design, Product Marketing, Solutions Engineering, GTM, and Events to align demos with technical truth, approved claims, customer context, and program requirements. - Incorporating product, sales, and customer success perspectives so demonstrations address real customer questions and support adoption. - Adapting established demos for different audiences and formats while maintaining quality and accuracy. - Creating reusable components, reference demos, and documentation, and incorporating feedback to improve the team’s work. - Identifying scope and delivery tradeoffs early, proposing solutions, and seeking alignment when decisions affect broader priorities or commitments. You might thrive in this role if you: - Has demonstrated experience building technical demos, prototypes, customer-facing applications, or similar interactive experiences. - Can independently take a moderately scoped project from brief to delivery, anticipate challenges, and communicate effectively with stakeholders. - Is comfortable writing and debugging code, working with APIs and data, and connecting tools into useful AI-powered workflows. - Brings strong working knowledge of their technical area and practical judgment about usability, reliability, and technical limitations. - Can turn complex technical concepts into clear stories grounded in real customer needs. - Has experience presenting technical work live and can communicate clearly with executive, technical, and nontechnical audiences. - Works collaboratively across functions, incorporates different perspectives, and constructively challenges assumptions. - Cares deeply about craft and detail, follows through on commitments, and stays calm when troubleshooting under pressure. - Is curious about AI and actively explores how new capabilities can create useful customer experiences. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

FlexportHQI 86

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Ocean team at Flexport works globally to make sure all business moves smoothly and our ocean product is the best it can be for our clients. Our Ocean Procurement Team is essential to winning new business, supporting all current business, and building out the future of Flexport’s ocean services. As a Procurement Manager, you’ll be an integral part of helping achieve Flexport’s growth goals. It’s a face-paced and integral position for both winning new business, and supporting our current book of business. This role is focused on the Transpacific-Eastbound (TPEB) trade. A successful procurement manager will need to communicate market developments and strategy to a broad range of colleagues, negotiate freight rates, be willing and able to dig into the weeds of pricing / contract nuances, manage carrier relationships, and represent Flexport commercially. You Will • Drive all things ocean carrier procurement for TPEB and take direct responsibility for carrier development and partnership on the respective trade, demonstrating Flexport’s competitive advantages • Coordinate and negotiate annual, quarterly, monthly, and weekly procurement activities • Build scalable procurement operating rhythms and tools, including working directly with internal contract tools for cost and pricing management • Lead rate setting and strategy for RFP season on the trade • Work closely with commercial Ocean and demand teams to win new business and execute for current book of business • Educate and enable the broader Flexport organization with carrier and tradelane intelligence to foster better decision making, client engagement and growing the trade • Lead regular cross team meetings • Work collaboratively with colleagues in Asia to execute trade strategy and fulfillment • Dive into escalations both in Asia and in the U.S. to keep our business moving You Should Have • 7+ years of prior Ocean procurement experience at a top freight forwarder or trade experience at a carrier or 7+ years of supply chain experience and a BA/BS Degree; • Strategic vision and continuous desire to improve–get into the weeds and build process from ground-up when needed • Strong negotiation skills • Excellent communication, interpersonal, and organizational skills; • Desire to build / scale ocean business • Ability to travel regionally and internationally • People management experience desired (but not required) • A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry. The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $105,000 — $130,000 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

writerHQI 86

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role We are looking for a visionary and execution-oriented AI transformation lead to serve as a high-impact partner for our most strategic Fortune 100 accounts. In this role, you’ll be the architect of change, moving beyond simple software implementation to help the world's largest organizations fundamentally rethink how they work. You’ll sit at the intersection of business strategy and cutting-edge technology, translating the power of the WRITER platform into measurable P&L impact and helping executives navigate the shift to an AI-first operating model. This is a rare opportunity to build the playbook for enterprise AI transformation. You won’t just be managing accounts; you’ll be driving the next industrial revolution by helping C-suite leaders move from AI experimentation to full-scale value realization. Your work will directly influence WRITER's product roadmap and help define how the world’s biggest brands use superintelligence to expand human capacity. This role is available as a hybrid position based out of our New York City hub. You will report to the director of AI transformation and success. 🦸🏻‍♀️ What you'll do - Manage a portfolio of customers while leading ROI and value initiatives in partnership with a customer success manager who focuses on the adoption strategy - Act as a strategic transformation partner for Fortune 50-100 customers by setting vision and defining the JTBD framework with leadership teams to drive AI adoption - Build and manage C-suite relationships as a trusted advisor to make AI a top priority for executives - Lead value realization and ROI delivery by conducting analysis through surveys and interviews to frame the P&L impact of AI adoption in business reviews - Orchestrate complex cross-functional programs across multiple stakeholders while managing customer teams, escalations, risk mitigation, and program updates - Proactively identify and drive expansion opportunities by anticipating customer needs and working with sales on cross-sell and upsell initiatives - Scale transformation best practices by producing and "processifying" decks, frameworks, and communications for the wider team ⭐️ What you need - Over 10 years in strategic account management or transformation consulting for Fortune 50-100 companies with a proven track record of building C-suite relationships and leading large-scale transformations - Mastery of change management and strategic thinking with the ability to set vision, define frameworks, and translate capabilities to measurable outcomes and P&L impact - Exceptional executive presence and communication skills used to lead composed presentations to boards while proactively orchestrating cross-functional teams and resolving conflicts - A curious mindset and an active listening style that marks you as a genuine leader who people want to follow - A strong professional background in management consulting or strategy advisory which will help you navigate our customers' complex business environments - An intrinsic motivation to do your best work while remaining deeply aligned with our core values to Connect, Challenge, and Own 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

writerHQI 86

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role We are looking for a visionary and execution-oriented AI transformation lead to serve as a high-impact partner for our most strategic Fortune 100 accounts. In this role, you’ll be the architect of change, moving beyond simple software implementation to help the world's largest organizations fundamentally rethink how they work. You’ll sit at the intersection of business strategy and cutting-edge technology, translating the power of the WRITER platform into measurable P&L impact and helping executives navigate the shift to an AI-first operating model. This is a rare opportunity to build the playbook for enterprise AI transformation. You won’t just be managing accounts; you’ll be driving the next industrial revolution by helping C-suite leaders move from AI experimentation to full-scale value realization. Your work will directly influence WRITER's product roadmap and help define how the world’s biggest brands use superintelligence to expand human capacity. This role is available as a hybrid position based out of our New York City hub. You will report to the director of AI transformation and success. 🦸🏻‍♀️ What you'll do - Manage a portfolio of customers while leading ROI and value initiatives in partnership with a customer success manager who focuses on the adoption strategy - Act as a strategic transformation partner for Fortune 50-100 customers by setting vision and defining the JTBD framework with leadership teams to drive AI adoption - Build and manage C-suite relationships as a trusted advisor to make AI a top priority for executives - Lead value realization and ROI delivery by conducting analysis through surveys and interviews to frame the P&L impact of AI adoption in business reviews - Orchestrate complex cross-functional programs across multiple stakeholders while managing customer teams, escalations, risk mitigation, and program updates - Proactively identify and drive expansion opportunities by anticipating customer needs and working with sales on cross-sell and upsell initiatives - Scale transformation best practices by producing and "processifying" decks, frameworks, and communications for the wider team ⭐️ What you need - 5-9 years in strategic account management or transformation consulting for Fortune 50-100 companies with a proven track record of building C-suite relationships and leading large-scale transformations - Mastery of change management and strategic thinking with the ability to set vision, define frameworks, and translate capabilities to measurable outcomes and P&L impact - Exceptional executive presence and communication skills used to lead composed presentations to boards while proactively orchestrating cross-functional teams and resolving conflicts - A curious mindset and an active listening style that marks you as a genuine leader who people want to follow - A strong professional background in management consulting or strategy advisory which will help you navigate our customers' complex business environments - An intrinsic motivation to do your best work while remaining deeply aligned with our core values to Connect, Challenge, and Own 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

PerplexityHQI 90

ABOUT THE ROLE As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets. RESPONSIBILITIES - Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance - Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships - Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action YOU MAY BE A GOOD FIT IF - 5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

PerplexityHQI 90

ABOUT THE ROLE As an Enterprise Sales Manager at Perplexity, you'll lead a team of Account Executives selling Perplexity Enterprise and Computer to Enterprise accounts. You'll be responsible for hiring and ramping the team, coaching sellers through complex enterprise sales cycles, and owning team revenue targets. RESPONSIBILITIES - Lead, coach, and develop a team of Account Executives, providing regular feedback to drive individual and team performance - Own team revenue targets, with accountability for pipeline creation, deal execution, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account planning, and converting existing self-serve customers into Enterprise relationships - Support AEs in complex, multi-stakeholder deals, including executive alignment, technical evaluation, security review, and negotiation - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action YOU MAY BE A GOOD FIT IF - 7+ years of enterprise software sales experience, with 3+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and account-based prospecting - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

PinterestHQI 93

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes. In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals. You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact. This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant. What will you be doing: Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization. Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption. Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation. Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments. Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists. What we’re looking for: Minimum 7 years of industry experience, including 2+ years of tech leading teams MS or PhD degree in computer science, machine learning, or equivalent industry experience. Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models). Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce) Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems. Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans. Excellent cross-functional communication and collaboration skills Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA. #LI-AK7 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $189,308 — $389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

ServiceNowHQI 77

About the Team  The Futures Engineering team sits at the intersection of R&D, applied engineering, and thought leadership within ServiceNow Futures. We build "art of the possible" proofs of concept, run customer- and partner-facing workshops and POCs, and produce technical and strategic collateral that shapes how the market sees ServiceNow as an innovation-driven, futures-forward company. The team operates in an Agile/Scrum model and is made up of Product Managers and Software Engineers.   Purpose of the Role  Interface with internal and external stakeholders and customers to develop proofs of concept, applications, and thought leadership collateral. Understand the evolving business and technology landscape — and where ServiceNow fits within it — to conduct research and development on new applications of the ServiceNow platform and on how emerging technologies will shape the ServiceNow ecosystem going forward.  Key Responsibilities  Customer & Partner Engagement: Build relationships with internal and external stakeholders to understand business and technical challenges, gather requirements, and manage end-to-end projects: engagement management, architecture, design, testing, blueprints/collateral and delivery/handoff. Work in partnership with and Innovation Officers/Futurists, Software Engineers and account teams R&D and Applied Research: Lead research initiatives into novel technologies and business trends, evaluating their implications for the ServiceNow platform and ecosystem; translate findings into actionable product and strategic insight Thought Leadership & Publishing: Author and publish thought leadership papers, white papers, and technical collateral, grounded in original research, that spark customer/partner and industry imagination and position ServiceNow as an innovation leader. Represent the team's research externally through articles, presentations, conferences and industry commentary Proofs of Concept: Architect and lead customer-facing and internal proofs of concept demonstrating "art of the possible" applications of the ServiceNow platform, in partnership with Software Engineers and Innovation Officers/Futurists Workshops & Futures Engagements: Plan and lead workshops with customers and partners to translate research and PoC work into interactive engagements that build conviction and drive roadmap influence for ServiceNow Futures and the AI Institute Market & Competitive Research: Participate in market research and competitive analysis in partnership Futurists/IOs, STEP and other orgs Framework and Programs: Develop operational programs and frameworks to run programs within ServiceNow Futures based on iterative pilots of new ways of working for Futures and AI Institute work. Contribute to portfolio management, solution design, and requirements definition What Success Looks Like  Successful members of this team have a genuine passion for researching and experimenting with new technologies, building PoCs on the ServiceNow platform, and telling compelling stories about how ServiceNow enable business transformation and take advantage of novel industry technologies. They operate effectively in distributed teams spanning company functions, customers, and partners, and they document their work carefully so hand-offs to other teams are seamless.   Who You'll Influence  APEX and DT Product Managers and Developers; internal stakeholders across Corporate Strategy, Marketing, Sales, others in conjunction with others in ServiceNow Futures  Customer and partner architects, developers, and business process owners  Industry peers in comparable innovation/futures functions  Account teams and other field functions  Our ideal candidate 7+ years experience in customer-facing roles (within or outside the tech industry)  Excellent oral and written communication skills, with demonstrated experience creating and delivering thought leadership content — webinars, white papers, published articles, conference presentations, and customer workshops  Experience with Agile/Scrum methodology and working in a distributed team  ServiceNow platform experience preferred   Deep business and industry acumen, with the ability to translate market and technology trends into fact-based recommendations  Track record of original research, writing, or academic/industry publishing is a strong plus  Autonomy to select tools, platforms, and approaches for design and development within DT/ServiceNow technology guidelines  Experience mentoring peers     For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

SoFiHQI 89

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role As a Staff Enterprise Security Engineer at SoFi, you will serve as the subject matter expert for Data Loss Prevention (DLP) while driving engineering across broader enterprise security domains—including email security, endpoint protection, network defense, and phishing simulation. Sitting within the Enterprise Security team, this role balances technical focus on data protection with hands-on architecture, operation, and automation of foundational IT and corporate security controls. We seek security leaders who combine technical mastery in tool administration (e.g., Zscaler, Proofpoint, Sentra, CrowdStrike) with systems thinking to mitigate risk across diverse threat vectors. In this role, you will define risk mitigation strategies and build clear technical roadmaps—accelerating security delivery while maintaining safety, correctness, and data protection. What you’ll do Lead end-to-end delivery and architecture for enterprise security capabilities: enterprise zero-trust networks, endpoint security, and SaaS posture management. Frame complex security challenges: clarify security requirements, threat models, failure modes, and success metrics while proposing clear architectural options and tradeoffs. Design for scale and resilience: establish secure baseline configurations, automate security guardrails, and reduce systemic attack surfaces with minimal enterprise friction. Collaborate with internal security teams to establish and maintain threat signaling to ensure that proper visibility and alerting is achieved across tooling. Raise cybersecurity standards through design reviews, active mentorship of team members, and establishing enterprise security patterns and best practices. Collaborate cross-functionally with IT, Infrastructure, Risk/Compliance, and Engineering teams to deliver secure member outcomes. What you’ll need Education & Minimum Experience Requirements: Bachelor’s Degree + 3–4 Years of Experience OR Master’s Degree + 2–3 Years of Experience in Cybersecurity, Computer Science, Information Technology, or a related field. 3+ years of experience in cybersecurity with a focus on Data Loss Prevention (DLP). Hands-on experience with cloud-based DLP solutions (e.g., Zscaler, Proofpoint, Sentra). Experience administering and operating core enterprise security tools (EDR, email security gateways, and web proxies). Experience with Infrastructure as Code (IaC) solutions such as Terraform, along with scripting languages (Python, Go, or PowerShell) for tooling and automation. Experience with incident response, log analysis, threat detection, and digital forensics. Experience collaborating with multiple lines of defense for issue analysis, evidence gathering and remediation. Proven problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment. Solid written and verbal communication skills for technical documentation, cross-functional collaboration, and threat modeling. Nice to have Professional security certifications (e.g., CISSP, CCSP, CISM, or AWS Certified Security Specialty). Experience with CI/CD security pipeline automation, SIEM detections, and SOAR playbooks. Knowledge of financial compliance frameworks and regulatory environments (PCI-DSS, SOC1/SOC2, SOX, GLBA, NIST CSF, ISO 27001). Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

PerplexityHQI 90

About the role As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets. Responsibilities • Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance • Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy • Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement • Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships • Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion • Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts • Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action You may be a good fit if • 5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives • A track record of meeting or exceeding team revenue targets in a high-growth environment • Experience hiring, ramping, and developing sellers • Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion • Strong command of Salesforce, pipeline management, and forecasting • Background selling technical products, ideally AI, data, or infrastructure • Comfort operating without an established playbook

PerplexityHQI 90

About the role As an Enterprise Sales Manager at Perplexity, you'll lead a team of Account Executives selling Perplexity Enterprise and Computer to Enterprise accounts. You'll be responsible for hiring and ramping the team, coaching sellers through complex enterprise sales cycles, and owning team revenue targets. Responsibilities • Lead, coach, and develop a team of Account Executives, providing regular feedback to drive individual and team performance • Own team revenue targets, with accountability for pipeline creation, deal execution, and forecast accuracy • Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement • Coach the team on outbound prospecting, account planning, and converting existing self-serve customers into Enterprise relationships • Support AEs in complex, multi-stakeholder deals, including executive alignment, technical evaluation, security review, and negotiation • Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts • Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action You may be a good fit if • 7+ years of enterprise software sales experience, with 3+ years directly managing quota-carrying Account Executives • A track record of meeting or exceeding team revenue targets in a high-growth environment • Experience hiring, ramping, and developing sellers • Experience coaching teams to generate their own pipeline through outbound and account-based prospecting • Strong command of Salesforce, pipeline management, and forecasting • Background selling technical products, ideally AI, data, or infrastructure • Comfort operating without an established playbook

DatabricksHQI 84

RDQ425R38 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our mission is to simplify and democratize data and AI so that every organization can put them to work. Design is central to that mission. We turn powerful, complex technology into clear, accessible, and trustworthy experiences that open advanced capabilities to all kinds of users. The Strategic Partnerships team is responsible for establishing and developing deep, long-term alliances with the world’s most important technology companies in the Data & AI ecosystem. We focus on CEO-priority partnerships that have the potential to be highly impactful to the Databricks business. As the Director, Strategic Partnerships, you will be a key team member structuring strategic partnerships with leading cloud hyperscalers and Neoclouds. You will collaborate with internal stakeholders including product, engineering, sales, and finance to develop and optimize strategic partnerships, with an emphasis on growth and business economics. You will develop relationships with our strategic partners’ decision makers and identify opportunities for win-win collaboration. This job is fast-paced, cross-functional, and requires strong communication, prioritization, organization, and presentation skills. You must have deep subject matter expertise in cloud computing consumption-based business models and technologies. You also must have at least 7+ years of business development experience negotiating bespoke, non-programmatic deals. The impact you will have: • Develop and negotiate partnerships that drive long-term growth of the Databricks business, deliver innovation and value for our customers, and create value for strategic partners. • Collaborate cross-functionally with product, engineering, finance, sales, and marketing stakeholders to develop strategic partnership objectives. • Build deep relationships with stakeholders in partner organizations to align their business objectives for win-win outcomes. • Influence product and engineering decisions by providing data-driven insights and qualitative analysis supporting the partnership opportunity. • Develop KPIs to define, measure, and drive success of partnerships. • Work closely with the VP, Strategic Partnerships and Databricks executive team to scale thought leadership for new opportunities. What we look for: • Minimum of 7+ years of experience in business development, corporate development, or consulting. • Proven track record negotiating highly bespoke commercial arrangements with C-suite level counterparties. • Strong analytical skills, with proficiency in developing first-principles and data-driven business cases and strategic plans using a variety of tools. • Strong understanding of GTM and sales motions that drive partnership success. • Excellent communication and presentation skills, capable of distilling complex analyses into clear messaging for executives and stakeholders. • Strong judgment, ownership, and cross-functional leadership. • Ability to drive deal processes autonomously as the deal lead. • Strong bias for action mindset with the ability to make an impact in a face-paced environment. • MBA degree or a related field; or equivalent business experience. • Bachelor’s degree in Computer Science, Engineering, or a related field; or strong, proven technical aptitude. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $243,600 — $334,950 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $219,300 — $301,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

DatabricksHQI 91

RDQ425R38 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our mission is to simplify and democratize data and AI so that every organization can put them to work. Design is central to that mission. We turn powerful, complex technology into clear, accessible, and trustworthy experiences that open advanced capabilities to all kinds of users. The Strategic Partnerships team is responsible for establishing and developing deep, long-term alliances with the world’s most important technology companies in the Data & AI ecosystem. We focus on CEO-priority partnerships that have the potential to be highly impactful to the Databricks business. As the Director, Strategic Partnerships, you will be a key team member structuring strategic partnerships with leading cloud hyperscalers and Neoclouds. You will collaborate with internal stakeholders including product, engineering, sales, and finance to develop and optimize strategic partnerships, with an emphasis on growth and business economics. You will develop relationships with our strategic partners’ decision makers and identify opportunities for win-win collaboration. This job is fast-paced, cross-functional, and requires strong communication, prioritization, organization, and presentation skills. You must have deep subject matter expertise in cloud computing consumption-based business models and technologies. You also must have at least 7+ years of business development experience negotiating bespoke, non-programmatic deals. The impact you will have: Develop and negotiate partnerships that drive long-term growth of the Databricks business, deliver innovation and value for our customers, and create value for strategic partners. Collaborate cross-functionally with product, engineering, finance, sales, and marketing stakeholders to develop strategic partnership objectives. Build deep relationships with stakeholders in partner organizations to align their business objectives for win-win outcomes. Influence product and engineering decisions by providing data-driven insights and qualitative analysis supporting the partnership opportunity. Develop KPIs to define, measure, and drive success of partnerships. Work closely with the VP, Strategic Partnerships and Databricks executive team to scale thought leadership for new opportunities. What we look for: Minimum of 7+ years of experience in business development, corporate development, or consulting. Proven track record negotiating highly bespoke commercial arrangements with C-suite level counterparties. Strong analytical skills, with proficiency in developing first-principles and data-driven business cases and strategic plans using a variety of tools. Strong understanding of GTM and sales motions that drive partnership success. Excellent communication and presentation skills, capable of distilling complex analyses into clear messaging for executives and stakeholders. Strong judgment, ownership, and cross-functional leadership. Ability to drive deal processes autonomously as the deal lead. Strong bias for action mindset with the ability to make an impact in a face-paced environment. MBA degree or a related field; or equivalent business experience. Bachelor’s degree in Computer Science, Engineering, or a related field; or strong, proven technical aptitude. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $243,600 — $334,950 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $219,300 — $301,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CartaHQI 93

The Company You’ll Join Carta is the connected platform and AI-native ecosystem for private capital. Built to replace fragmented tools with a single system of record, Carta brings together the software, services, and legal infrastructure that founders use to manage equity, fund managers use to run administration and reporting, and legal teams use to close transactions. Trusted by 55,000 companies and 1.8M+ equity holders in 160+ countries, and 10,000 funds and SPVs representing $250B+ in assets under management, Carta is transforming how private capital operates. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve As a Legal Product Builder, you will sit at the cutting edge of building technology around the practice of law. You will: Build AI-powered legal products alongside engineers and product managers: Bring deep legal expertise into the product development process, helping turn complex legal work into scalable, agent driven experiences Translate legal judgement into systems: Break down legal processes like contract review and compliance into the decisions, rules, workflows, exceptions, and escalation points an AI agent needs to navigate Teach our agents what "good" looks like: develop examples, evaluation criteria, test cases and feedback loops that help our legal agents produce accurate, useful, and trustworthy work. Evaluate and improve agent performance. Test against real world scenarios, identify where the reasoning or outputs fall short, diagnose failure modes, and partner with engineers to improve them. Anticipate ambiguity, edge cases, conflicting information and situations requiring human judgement and determine how our products should handle them Prototype new legal capabilities: use AI tools directly to experiment with prompts, workflows, and agent behaviour, moving from an idea to a working prototype before or alongside engineering to shape what we build next The Team You'll Work With You'll join Carta Law, an AI-native legal services firm that sits at the intersection of legal expertise and cutting-edge technology. The team's philosophy is full ownership — Carta Law doesn't sell tools, it delivers legal and compliance services end to end, from intake to negotiation to execution and reporting. You'll work alongside top AI engineers and legal professionals who are actively reimagining how legal work gets done, from agents that negotiate agreements to document intelligence and extraction tools to a dedicated platform combining agents, workflows, and human lawyers. About You Legal Background: You're a lawyer with 4+ years of substantive training and experience, whether that's Big Law, in-house at an asset manager or PE firm, or comparable legal practice or within a legal-adjacent role. Product Thinking: You have a demonstrated track record of identifying where legal workflows break down and proposing (or actually building) something better. Technical Fluency: You don't need to write code, but you're comfortable sparring with engineers on how AI products are built and can translate legal judgment into something a technical team can act on. Communication & Autonomy: You're a strong written communicator with sharp judgment, and you operate with a high degree of independence. Nice to have: Direct commercial contract negotiation experience (NDAs, subscription agreements, transaction docs); prior time at a legal tech company or in a hybrid legal/product role; familiarity with contract automation, document intelligence, or negotiation tooling; founder experience or having built something from scratch. Salary Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: $204,000 - $240,000 in New York City, NY and San Francisco, CA Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors. Disclosures: We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy , CA Candidate Privacy , and Brazil Transparency Report . Please note that all official communications from us will come from an @carta.com or @carta-external.com domain. Report any contact from unapproved domains to [contact via application link].

DatabricksHQI 84

SLSQ427R846 As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager. The impact you will have: • Assess your accounts and develop a strategy to identify and engage all buying centers • Use a solution approach to selling and creating value for customers • Identify the most viable use cases in each account to maximize Databricks impact • Orchestrate and work with teams to maximize the impact on your ecosystem • Build value with all engagements to promote successful negotiations to close point • Promote Databricks enterprise cloud data platform powered by Apache Spark • Be Customer focused by delivering technical and business results using the Databricks Platform • Promote Teamwork...it makes the Dreamwork! What we look for: • You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. • Sales experience within big data, Cloud, or SaaS sales • Prior customer relationships with CIOs and important decision-makers • Simply articulate intricate cloud technologies and big data • Experience exceeding sales quotas • Success closing new business to net new accounts • 5+ years of sales experience in SaaS/PaaS companies • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $272,000 — $374,000 USD Zone 2 Pay Range $272,000 — $374,000 USD Zone 3 Pay Range $272,000 — $374,000 USD Zone 4 Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

DatabricksHQI 91

SLSQ427R846 As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager. The impact you will have: Assess your accounts and develop a strategy to identify and engage all buying centers Use a solution approach to selling and creating value for customers Identify the most viable use cases in each account to maximize Databricks impact Orchestrate and work with teams to maximize the impact on your ecosystem Build value with all engagements to promote successful negotiations to close point Promote Databricks enterprise cloud data platform powered by Apache Spark Be Customer focused by delivering technical and business results using the Databricks Platform Promote Teamwork...it makes the Dreamwork! What we look for: You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. Sales experience within big data, Cloud, or SaaS sales Prior customer relationships with CIOs and important decision-makers Simply articulate intricate cloud technologies and big data Experience exceeding sales quotas Success closing new business to net new accounts 5+ years of sales experience in SaaS/PaaS companies Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $272,000 — $374,000 USD Zone 2 Pay Range $272,000 — $374,000 USD Zone 3 Pay Range $272,000 — $374,000 USD Zone 4 Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

PlaidHQI 93

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The GTM Technology team sits within GTM Operations and owns the systems, architecture, and automation that power Plaid's go-to-market motion — Salesforce administration and platform architecture, quote-to-cash, lead-to-cash data integrity, and the evaluation and rollout of new GTM tooling, including AI and agentic tooling. We partner closely with Sales, Finance, and Engineering to make sure the systems behind revenue are accurate, scalable, and increasingly automated. We're hiring a GTM Technology Engineer to help build and maintain the technical backbone of our GTM systems. This is a hands-on engineering role for someone who can write production-quality Salesforce code (Apex, LWC, SOQL/SOSL), design clean integrations across our GTM stack (Salesforce, CPQ, contract lifecycle management, sales engagement, data warehouse, and more), and bring an AI-forward, builder mentality to how we automate and scale GTM Operations workflows. You'll work on everything from diagnosing and fixing Apex logic that drives revenue-critical fields, to building integrations that connect Salesforce with adjacent platforms, to designing and deploying AI-powered agents and automations (using LLM APIs, MCP servers, and agentic workflows) that remove manual work from the GTM org. You'll report into GTM Technology and work alongside Salesforce architects, GTM Operations partners, and Engineering. Responsibilities • Salesforce development : Design, build, and maintain Apex classes, triggers, Lightning Web Components, and Flows that support core GTM processes. • Data integrity & diagnostics : Investigate and resolve issues in revenue-critical Apex services, tracing root causes across triggers, flows, and integration touchpoints. • Cross-platform integration : Build and maintain integrations between Salesforce and the broader GTM stack (CPQ, CLM/contract tools, sales engagement platforms, data enrichment tools, data warehouse) using middleware (e.g., MuleSoft, Tray.io ), REST/SOAP APIs, and event-driven patterns. • AI & automation : Prototype and productionize AI-assisted workflows — using LLM APIs, Salesforce-hosted MCP servers, and agentic tooling — to automate manual RevOps processes (deal reviews, data QA, reporting, triage). • Platform architecture : Contribute to Salesforce architecture decisions (data model, sharing model, integration patterns, CI/CD via tools like Copado, Gearset) that keep the org scalable as Plaid's GTM motion grows. • Partnership : Work directly with RevOps, Deal Desk, Sales leadership, and Engineering to translate business requirements into reliable, well-tested technical solutions. • Quality & governance : Write testable, documented code; participate in code review and release management; support SOX/ITGC controls relevant to revenue systems where applicable. Requirements • 4+ years of hands-on Salesforce development experience — Apex, Lightning Web Components, Flow, SOQL/SOSL, and integration patterns (REST/SOAP, platform events, middleware). • Experience with CPQ (Salesforce CPQ or similar) and a working understanding of quote-to-cash / lead-to-cash data flows. • Hands-on experience designing and deploying AI-powered workflows, agentic systems, or LLM-backed automations that improve operational efficiency — building with AI tools, not just using them. • Strong debugging and systems-thinking skills — comfortable tracing a data issue from a Salesforce field back through Apex logic, automation, and upstream integrations. • Experience with integration/middleware platforms (MuleSoft, Tray.io , Workato, or similar) and modern API design. • Solid software engineering fundamentals: version control (Git), CI/CD, testing discipline, and code review practices. • Excellent cross-functional communication skills — comfortable working directly with GTM Operations, Sales, Deal Desk, and Finance stakeholders to gather requirements and explain technical tradeoffs. • Comfortable operating in ambiguity, with a proactive, builder-oriented mindset. • Salesforce certifications (Platform Developer I/II, Application Architect) are a plus but not required. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [contact via application link]. Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.