FEQ427R549 Technical Enablement Specialist - Field Engineering Onboarding The Impact You’ll Have We are seeking a Technical Enablement Specialist to lead and advance how we onboard new Field Engineers at Databricks. At Databricks, we’re all builders. This role will develop the future of technical GTM Onboarding in the era of AI and innovate a highly-scaled program with a builder mentality. You will ensure every Field Engineer - from Solution Architects to Forward Deployed Engineers - leaves their ramp period with the core skillsets required of our technical GTM team, and can demonstrate role-readiness across our platform, product, and customer advisor competencies. This is an individual contributor role where you’ll lead through direct ownership, building AI-native enablement solutions, and cross-functional influence. What You’ll Do Reimagine Field Engineering Onboarding and serve as the technical innovation engine for ramping technical GTM teams. Leverage deep technical expertise to build, ship, and accelerate AI-native onboarding experiences, avoiding manual, one-size-fits-all approaches with tools that scale globally. Codify what 'great' looks like for a new Field Engineer in an AI-first world — working with FE leadership and StratOps to translate field expectations into measurable onboarding milestones. Advance the Field Engineering in-person onboarding experiences and lead the global planning and delivery, partnering with Onboarding Ops and Technical Trainers. Serve as an advisor and trusted enablement partner to the Solution Engineering early career program. Build strong partnerships with global Field Engineering, Product, and StratOps leaders to keep onboarding current and grounded in what the field actually needs on day one. Accountable for Field Engineering Onboarding OKRs - role-readiness and velocity - and collaborate with StratOps on leading indicators and results. Travel (up to 25%) for onboarding program delivery as you deploy new features and continuously innovate. What Success Looks Like The AI tools, skills, and assessments you build are actively used by new hires and carried into the field. Field Engineers leave onboarding with validated skillsets in building with Databricks and are prepared to serve as trusted advisors in their accounts. Develop durable AI-native solutions for the global planning, operations, and delivery of Field Engineering Onboarding. Land early wins to personalize onboarding in the first 3 months, with a roadmap to mature over the first 6 months. Be a trusted voice and enablement partner to the early career Solutions Engineering leadership team. Partner with the Technical Excellence and Field Enablement teams to align onboarding to global and regional priorities. What We Look For 5+ years of experience in a GTM role, including solution engineering or solution architecture, post-sales or delivery, GTM enablement, or GTM Onboarding in a hyper-growth SaaS/AI environment. Deep technical skills and strong knowledge of a Field Engineering organization. A sharp instinct for field-readiness and the judgment to design a ramp that gets someone there fast. Demonstrated ability to own high-impact and scaled programs over time, with outsized outcomes as an individual contributor. Experience building technical enablement or internal tools with AI (skills, apps, or content) and demonstrated ability integrate AI into programmatic workflows. Strong executive presence and stakeholder management skills; ability to influence senior leaders and cross-functional partners. Exceptional communication. You make complex technical concepts land for a technical audience across every role and tenure. A bias for shipping and iterating in a fast-moving environment. Nice To Have Hands-on Databricks experience, or experience with competitive platforms. Familiarity with a consumption-based business motion. Experience designing onboarding or enablement at a data, AI or infrastructure company during a period of rapid scaling. Comfortable with facilitation and the ability to “own the room” from the front of the classroom. 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 $111,000 — $152,550 USD Zone 2 Pay Range $99,800 — $137,300 USD Zone 3 Pay Range $94,300 — $129,700 USD Zone 4 Pay Range $88,800 — $122,100 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.
Field Engineering Jobs
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FEQ427R549 Technical Enablement Specialist - Field Engineering Onboarding The Impact You’ll Have We are seeking a Technical Enablement Specialist to lead and advance how we onboard new Field Engineers at Databricks. At Databricks, we’re all builders. This role will develop the future of technical GTM Onboarding in the era of AI and innovate a highly-scaled program with a builder mentality. You will ensure every Field Engineer - from Solution Architects to Forward Deployed Engineers - leaves their ramp period with the core skillsets required of our technical GTM team, and can demonstrate role-readiness across our platform, product, and customer advisor competencies. This is an individual contributor role where you’ll lead through direct ownership, building AI-native enablement solutions, and cross-functional influence. What You’ll Do • Reimagine Field Engineering Onboarding and serve as the technical innovation engine for ramping technical GTM teams. • Leverage deep technical expertise to build, ship, and accelerate AI-native onboarding experiences, avoiding manual, one-size-fits-all approaches with tools that scale globally. • Codify what 'great' looks like for a new Field Engineer in an AI-first world — working with FE leadership and StratOps to translate field expectations into measurable onboarding milestones. • Advance the Field Engineering in-person onboarding experiences and lead the global planning and delivery, partnering with Onboarding Ops and Technical Trainers. • Serve as an advisor and trusted enablement partner to the Solution Engineering early career program. • Build strong partnerships with global Field Engineering, Product, and StratOps leaders to keep onboarding current and grounded in what the field actually needs on day one. • Accountable for Field Engineering Onboarding OKRs - role-readiness and velocity - and collaborate with StratOps on leading indicators and results. • Travel (up to 25%) for onboarding program delivery as you deploy new features and continuously innovate. What Success Looks Like • The AI tools, skills, and assessments you build are actively used by new hires and carried into the field. • Field Engineers leave onboarding with validated skillsets in building with Databricks and are prepared to serve as trusted advisors in their accounts. • Develop durable AI-native solutions for the global planning, operations, and delivery of Field Engineering Onboarding. • Land early wins to personalize onboarding in the first 3 months, with a roadmap to mature over the first 6 months. • Be a trusted voice and enablement partner to the early career Solutions Engineering leadership team. • Partner with the Technical Excellence and Field Enablement teams to align onboarding to global and regional priorities. What We Look For • 5+ years of experience in a GTM role, including solution engineering or solution architecture, post-sales or delivery, GTM enablement, or GTM Onboarding in a hyper-growth SaaS/AI environment. • Deep technical skills and strong knowledge of a Field Engineering organization. • A sharp instinct for field-readiness and the judgment to design a ramp that gets someone there fast. • Demonstrated ability to own high-impact and scaled programs over time, with outsized outcomes as an individual contributor. • Experience building technical enablement or internal tools with AI (skills, apps, or content) and demonstrated ability integrate AI into programmatic workflows. • Strong executive presence and stakeholder management skills; ability to influence senior leaders and cross-functional partners. • Exceptional communication. You make complex technical concepts land for a technical audience across every role and tenure. • A bias for shipping and iterating in a fast-moving environment. Nice To Have • Hands-on Databricks experience, or experience with competitive platforms. • Familiarity with a consumption-based business motion. • Experience designing onboarding or enablement at a data, AI or infrastructure company during a period of rapid scaling. • Comfortable with facilitation and the ability to “own the room” from the front of the classroom. 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 $111,000 — $152,550 USD Zone 2 Pay Range $99,800 — $137,300 USD Zone 3 Pay Range $94,300 — $129,700 USD Zone 4 Pay Range $88,800 — $122,100 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.
HQI 84
Req ID - FEQ327R499 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: • You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. • Make your customers extremely successful with Databricks and provide outsized value to their businesses. • You will maintain a robust hiring pipeline at all times. • Establish relationships across the business to make your customers and team successful. • Partner with sales leadership to hit sales and consumption targets while ensuring customer success • Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals • 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). • A deep technical understanding of the impact that Data + AI can drive within various industry segments • Technical competence to earn the trust of Engineering talent and leadership at Databricks. • Trusted advisor to technical executives who guide strategic data infrastructure decisions. • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. • Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. • Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. • Experience working with other teams such as Product Management, Engineering, and Customer Success. • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. 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 $172,500 — $237,150 USD Zone 2 Pay Range $172,500 — $237,150 USD Zone 3 Pay Range $172,500 — $237,150 USD Zone 4 Pay Range $172,500 — $237,150 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.
HQI 84
FEQ327R502 The Manager, Specialist Solutions Architect will lead a team of Specialist Solution Architects and leaders in the Life Science vertical, who provide Specialist coverage for both our Solutions Architect (SA) teams and Delivery Solutions Architect (DSA) team. Your experience when partnering with the pre-sales technical team and leaders will help drive technical wins and accelerate Databricks DBU consumption. You will be responsible for guiding and empowering your team to communicate complex, outcome-based results that drive consumption and help our customers achieve their desired outcomes. The impact you will have: • Hiring and building the Specialist Solutions Architect team, scaling the designated field engineering segment organization without sacrificing quality • Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values • Drive Databricks product adoption and accelerate use cases to production within the Life Sciences vertical. • Collaborate closely with cross-functional teams, including Sales, Marketing, Support, Product Development, Operations, and other FE teams, to strategize and align efforts towards achieving HLS vertical's incremental consumption target and commit target. What we look for: • 2+ years leadership experience building and guiding teams • Demonstrated expertise in designing and implementing complex, large-scale solutions within the healthcare and life science industries, with a solid understanding of the specific challenges and data requirements in the HLS vertical. • Strong knowledge of HLS-specific regulations, such as HIPAA, GDPR, and industry standards like HL7, FHIR, and DICOM. • Familiarity with life science-related use cases and topics, including genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, and precision medicine. • In-depth understanding of healthcare-related use cases and topics, such as electronic health records (EHR), telemedicine, medical imaging, and price transparency. • Experience in senior pre-sales or post-sales roles, that have assisted in the development or building of a successful team in Big Data, Cloud, or SaaS professionals • Player/Coach capability, comfortable both leading or contributing to work on projects, with production-level quality • Have experience scaling and mentoring field or technical teams from scratch at hyper-growth speed • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models • Great at instituting processes for technical field members to promote efficiency • Bachelor's Degree in STEM subject or MSc desirable • Technical background either in Data Engineering / Database technologies or Data Science 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 $197,100 — $271,050 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.
HQI 89
FEQ427R171 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Germany. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team in Germany Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in Data Engineering, Database technologies or Data Science Strong communication skills. German native-speaker and fluent in English. #LI-hybrid 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.
HQI 82
FEQ427R171 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Germany. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: • Hire, mentor and grow the pre-sales team in Germany • Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture • Support increased return on investment of SA involvement in sales cycles • Ensure a solution and value-based selling within the field-engineering organization • Display an understanding of needs and revenue potential for accounts in the assigned region • Engage with key customer executives to build and strengthen strategic partnerships • Ensure close alignment with partners and internal services to secure implementation strategies within accounts • Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: • Experience managing a team of successful Big Data, Cloud, or SaaS professionals • Experience in consumption based business environments • Have experience mentoring and scaling technical teams • Success in instituting processes for technical field members to lead efficiency and product focus • Ability to partner and collaborate with Sales and other cross-functional leaders • Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions • Technical or consulting background either in Data Engineering, Database technologies or Data Science • Strong communication skills. German native-speaker and fluent in English. #LI-hybrid 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.
HQI 86
(FEQ427R544) Role Summary As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated to enterprise Named Accounts across the Benelux region. You will operate at the intersection of deep technology and business strategy, driving platform adoption and enterprise AI initiatives. As a technically credible coach and AI builder , you will spend meaningful time in the field (~30-40%) partnering with customer executives and internal Sales counterparts. You will lead by example to instil an AI-Builder Mindset across your team, establish rigorous operational inspection cadences, coach SAs through complex architecture designs without taking the pen, and decisively build an elite pre-sales organisation. The Impact You Will Have Build & Scale Elite Teams: Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing high standards for technical excellence, inclusive leadership, and decisive performance management. Drive AI Adoption & Capabilities: Lead by example as an AI practitioner, embedding AI tools into team workflows and driving scalable capability across the organisation. Act as a Customer Advisor: Build trusted relationships with C-level and senior technical executives across customer accounts. Translate complex platform capabilities into measurable business ROI (e.g., predictive maintenance, yield optimisation, supply chain resilience). Drive Operational Execution: Co-own regional consumption and growth targets with Sales partners. Maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy. Technically Coach the Field: Serve as an architectural sounding board for your team. Diagnose platform designs, spot failure modes in distributed systems or AI infrastructure, and coach SAs to refine architectures independently. Expand Benelux Presence: Serve as a key regional leader helping build Databricks' brand and market presence across enterprise accounts. What We’re Looking For Technical Pre-Sales Leadership: Track record of managing or leading technical pre-sales or consulting teams in Cloud Data Platforms, Enterprise Software, or AI/ML ecosystems. AI-Builder Mindset: Hands-on experience leveraging modern AI tools personally and a demonstrated ability to drive AI capability and productivity across an engineering team. Domain Credibility: Deep understanding of data challenges within relevant industries. Customer Advisor Presence: Ability to build direct relationships with VP/C-level stakeholders and frame technical decisions around commercial value and consumption growth. Architectural Coaching Capability: Hands-on foundation in data engineering, distributed systems, cloud architecture (AWS/Azure/GCP), or enterprise ML/AI pipelines, with the discipline to coach SAs rather than taking over technical delivery. Execution & Rigour: Experience managing against consumption/usage business models, running structured deal inspection cadences, and redesigning sub-scale operational processes. Basic Qualifications Experience managing or leading a technical customer-facing team. Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements. Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. Strong written, verbal, presentation, and stakeholder-management skills. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications Experience with Databricks or comparable data and AI platforms. Experience building trusted relationships with senior technical and business stakeholders. Experience using data, automation, or AI-enabled tools to improve team effectiveness. Experience supporting customers across multiple use cases, technical environments, or business functions. Fluency/business-level proficiency in Dutch is preferable. #LI-hybrid 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.
HQI 79
(FEQ427R544) Role Summary As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated to enterprise Named Accounts across the Benelux region. You will operate at the intersection of deep technology and business strategy, driving platform adoption and enterprise AI initiatives. As a technically credible coach and AI builder , you will spend meaningful time in the field (~30-40%) partnering with customer executives and internal Sales counterparts. You will lead by example to instil an AI-Builder Mindset across your team, establish rigorous operational inspection cadences, coach SAs through complex architecture designs without taking the pen, and decisively build an elite pre-sales organisation. The Impact You Will Have • Build & Scale Elite Teams: Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing high standards for technical excellence, inclusive leadership, and decisive performance management. • Drive AI Adoption & Capabilities: Lead by example as an AI practitioner, embedding AI tools into team workflows and driving scalable capability across the organisation. • Act as a Customer Advisor: Build trusted relationships with C-level and senior technical executives across customer accounts. Translate complex platform capabilities into measurable business ROI (e.g., predictive maintenance, yield optimisation, supply chain resilience). • Drive Operational Execution: Co-own regional consumption and growth targets with Sales partners. Maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy. • Technically Coach the Field: Serve as an architectural sounding board for your team. Diagnose platform designs, spot failure modes in distributed systems or AI infrastructure, and coach SAs to refine architectures independently. • Expand Benelux Presence: Serve as a key regional leader helping build Databricks' brand and market presence across enterprise accounts. What We’re Looking For • Technical Pre-Sales Leadership: Track record of managing or leading technical pre-sales or consulting teams in Cloud Data Platforms, Enterprise Software, or AI/ML ecosystems. • AI-Builder Mindset: Hands-on experience leveraging modern AI tools personally and a demonstrated ability to drive AI capability and productivity across an engineering team. • Domain Credibility: Deep understanding of data challenges within relevant industries. • Customer Advisor Presence: Ability to build direct relationships with VP/C-level stakeholders and frame technical decisions around commercial value and consumption growth. • Architectural Coaching Capability: Hands-on foundation in data engineering, distributed systems, cloud architecture (AWS/Azure/GCP), or enterprise ML/AI pipelines, with the discipline to coach SAs rather than taking over technical delivery. • Execution & Rigour: Experience managing against consumption/usage business models, running structured deal inspection cadences, and redesigning sub-scale operational processes. Basic Qualifications • Experience managing or leading a technical customer-facing team. • Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements. • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. • Strong written, verbal, presentation, and stakeholder-management skills. • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications • Experience with Databricks or comparable data and AI platforms. • Experience building trusted relationships with senior technical and business stakeholders. • Experience using data, automation, or AI-enabled tools to improve team effectiveness. • Experience supporting customers across multiple use cases, technical environments, or business functions. • Fluency/business-level proficiency in Dutch is preferable. #LI-hybrid 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.
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Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. Place of work: Boden What you’ll do Right now, we are looking for a Field Engineering Manager – STM for our Engineering team within Project Delivery. This is a site-based role in Boden, supporting the construction of our large-scale greenfield steel plant. As Field Engineering Manager, you will be the key technical link between the design organization, construction teams, EPCM partners, and contractors. Your focus will be on making engineering work in the field: resolving technical and constructability issues, managing field changes, and ensuring construction teams have the right information and engineering support to keep execution moving safely and efficiently. Specific to this role, the day-to-day tasks will include the following but as we are a growing company with very little silos between teams, other tasks might be included as well. Act as the primary on-site engineering contact, connecting design teams with construction and contractor organizations Review drawings, specifications, vendor documentation, and technical information to identify and resolve field and constructability issues Manage Site Technical Queries (STQs) and Requests for Information (RFIs), ensuring timely and clear resolution Lead constructability reviews together with construction teams, contractors, and design engineers Coordinate technical matters with EPCM partners, OEMs, procurement, QA/QC, HSE, and Project Controls Manage field changes, technical deviations, Site Instructions, redlines, and as-built processes through the appropriate approval routes Support construction planning and look-ahead activities by identifying engineering constraints and risks to schedule Lead and coordinate site-based field and discipline engineers, providing technical direction, support, and development What you’ll bring You’re curious and believe that real progress happens when we work together. You’re not afraid to challenge old ways of thinking and you treat others with respect while doing it. At Stegra, we value people who take initiative, build trust, and help create a workplace where everyone can do their best. For this role, we are looking for someone who combines strong engineering judgement with a practical understanding of construction. You should be comfortable being close to the work in the field, making decisions, resolving technical issues, and working across organizational boundaries to keep construction progressing. Specific to this role, we would like to see that you can tick off a fair amount of the boxes below Relevant experience in field engineering, project engineering, or engineering-construction interface roles within large-scale industrial or construction projects Bachelor’s degree in Civil, Structural, Mechanical, or another relevant engineering discipline Experience coordinating multidisciplinary engineering activities in a site-based construction environment Strong ability to interpret engineering drawings, specifications, vendor documentation, and construction methods Good understanding of RFI/STQ processes, field changes, document control, redlines, and as-built documentation Experience working across design, construction, contractors, QA/QC, HSE, procurement, and Project Controls Strong practical problem-solving skills with the ability to develop solutions that can be implemented in the field Experience leading or coordinating engineering teams, with strong communication skills in English Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. You’ll receive fair, competitive compensation aligned with collective agreements, along with benefits like up to 30 days of paid vacation, occupational pension, parental benefits, and insurance. If you need support with relocation or immigration, our relocation department will help guide you through the process, whether it’s permits, housing or other practical matters. You can also enjoy perks like subsidized gym memberships and bike leases, plus the everyday benefits of life closer to nature. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future. Our Boden Site Our Boden site is located just west of Boden City, right in the heart of a growing green industrial hub in Northern Sweden. It’s where we’re building one of the world’s most modern, sustainable steel plants—designed with safety, efficiency, and people in mind. With just a 10-minute commute from town, you'll be close to both cutting-edge technology and the everyday convenience of living near nature, schools, and community life.
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As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies. Responsibilities : Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. Adapt the SA team's skills and engagement model to match the needs of Digital native customers Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle Travel to customer sites for executive sessions, technical workshops, and building relationships Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team Stay current with emerging Data and AI trends in the digital native tech sector What we look for : 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment A history of building a territory, growing strategic accounts, and exceeding targets Inspiring a team vision about the unique nature of the digital natives business A history of execution by managing workloads and consumption with sales, product, and engineering counterparts Experience owning executive alignment in accounts that guide strategic decisions 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 . Local Pay Range $172,500 — $237,150 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.
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As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the leader of Solutions Architects for the Strategic Digital Native Business Unit focused on AI Native companies. Responsibilities : • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. • Adapt the SA team's skills and engagement model to match the needs of Digital native customers • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle • Travel to customer sites for executive sessions, technical workshops, and building relationships • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team • Stay current with emerging Data and AI trends in the digital native tech sector What we look for : • 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) • 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment • A history of building a territory, growing strategic accounts, and exceeding targets • Inspiring a team vision about the unique nature of the digital natives business • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts • Experience owning executive alignment in accounts that guide strategic decisions 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 . Local Pay Range $172,500 — $237,150 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.
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: - Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. - Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. - Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. - Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. - Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: - 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. - Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing. - Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. - Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos. - Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: - Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. - Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.) - 1+ years of practical Snowflake experience. - Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
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Req ID - FEQ227R94 Location: Toronto, ON While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Ontario also will be considered. We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in Canada across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business. Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM - Canada. The impact you will have • Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects • Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture • Support increased return on investment of Solutions Architect involvement in sales cycles • Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts • Promote a solution and value-based selling field-engineering organisation • Display an understanding of business needs and revenue potential for accounts in the assigned region • Build Databricks' brand in Canada in partnership with the Marketing and Sales team What we look for • 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals • Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the Canadian region • Ability to elevate the engagement with a track record of driving large transactions and high growth customers • Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach • Proven track record of transformational success and delivery of customer value • Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing) • Experience in complex strategic accounts generating +$5M ARR • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models • Great at instituting processes for technical field members to improve efficiency • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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. Canada Pay Range $325,000 — $395,000 CAD 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.
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FEQ427R261 Mission We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have • Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers • You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode. • Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses. • You will maintain a robust hiring pipeline at all times. • Establish relationships across the business to make your customers and team successful. • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For • Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals • 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). • Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective • Trusted advisor to technical executives that guide strategic data infrastructure decisions. • Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations. • Strategic mindset focused on driving customer outcomes in an accelerated fashion • Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles. • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams. • Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success. • Technical and business skills to earn the trust of Engineering talent and leadership at Databricks. • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale. 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 . Local Pay Range $192,100 — $264,175 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.
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FEQ327R157 As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: • Hire, mentor and grow the pre-sales team for the Qatar & Africa markets • Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture • Support increased return on investment of SA involvement in sales cycles • Ensure a solution and value-based selling within the field-engineering organization • Display an understanding of needs and revenue potential for accounts in the assigned region • Engage with key customer executives to build and strengthen strategic partnerships • Ensure close alignment with partners and internal services to secure implementation strategies within accounts • Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: • Experience managing a team of successful Big Data, Cloud, or SaaS professionals • Experience in consumption based business environments • Have experience mentoring and scaling technical teams • Success in instituting processes for technical field members to lead efficiency and product focus • Ability to partner and collaborate with Sales and other cross-functional leaders • Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions • Technical or consulting background either in Data Engineering, Database technologies or Data Science • Strong communication skills. Note: Location for the role is either Paris or London (i.e. within commutable distance). #LI-hybrid 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.
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FEQ427R388 As an Senior Manager, Field Engineering, you will lead a broader team of technical customer advisors and help shape the strategy, roadmap, and operating model for a significant Field Engineering portfolio. You will scale impact beyond your immediate team through other leaders, cross-functional initiatives, reusable practices, and strong customer and partner relationships. This role typically leads Field Engineering professionals across a broader portfolio and may include responsibility for one or two managers. Depending on the assignment, you may support a major segment, a multi-country portfolio, or an equivalent area of complexity. THE IMPACT YOU WILL HAVE Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio. Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals. Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months. Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans. Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy. Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes. Coach leaders and senior practitioners through complex customer, technical, competitive, organizational, and performance situations. Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team. Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities. Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity. Model and strengthen a culture of psychological safety, inclusion, accountability, continuous learning, and high performance. WHAT WE LOOK FOR Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment. Proven ability to hire bar-raising talent, develop leaders, manage performance, and make thoughtful decisions about team structure, capability mix, and resourcing. Experience leading through other leaders or serving as a senior leader on a complex team. Strong strategic judgment: you can identify the highest-impact priorities, allocate resources, manage risk, and connect near-term execution to longer-term goals. A track record of building repeatable operating mechanisms, playbooks, tools, or programs that scale beyond your immediate team. Ability to influence senior internal partners across Sales, Professional Services, Solutions Architecture, Marketing, Partners, Product, Engineering, and Support. Strong customer-advisory capability, including the ability to guide senior stakeholders through complex technical and business decisions. Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption considerations. An AI-first, builder mindset with evidence of applying emerging tools or approaches to improve customer outcomes and organizational effectiveness. Demonstrated alignment with Databricks Culture Principles and the ability to translate them into clear expectations and daily team practices. BASIC QUALIFICATIONS Experience managing technical customer-facing teams and/or other people leaders. Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives. Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. Strong written, verbal, presentation, decision-making, and stakeholder-management skills. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. PREFERRED QUALIFICATIONS Experience with Databricks or comparable data and AI platforms. Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices. Experience designing or improving Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models. Experience building partner ecosystems and cross-functional communities of practice. Experience using AI, automation, dashboards, or other mechanisms to improve organizational scale and repeatability. 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 $192,100 — $264,175 USD Zone 2 Pay Range $192,100 — $264,100 USD Zone 3 Pay Range $192,100 — $264,100 USD Zone 4 Pay Range $192,100 — $264,100 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.
HQI 84
As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the Director of Solutions Architecture for the Digital Native Business Named Account Unit. Responsibilities : • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. • Adapt the SA team's skills and engagement model to match the needs of Digital native customers • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle • Travel to customer sites for executive sessions, technical workshops, and building relationships • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team • Stay current with emerging Data and AI trends in the digital native tech sector What we look for : • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) • 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment • A history of building a territory, growing strategic accounts, and exceeding targets • Inspiring a team vision about the unique nature of the digital natives business • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts • Experience owning executive alignment in accounts that guide strategic decisions 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 . Local Pay Range $192,100 — $264,175 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.
HQI 84
FEQ427R378 Reporting to the Field Engineering Leader for Healthcare Provider Organization, the Solutions Architect Senior Manager will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects. The team will specialize in driving growth and multi-product adoption at healthcare provider accounts of varying size and TAM. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science. The impact you will have: Team Leadership: • Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation. • Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts. • Develop and execute strategies for the continuous growth and success of the Solutions Architect team. • Foster a culture of continuous learning and development within the team. Sales Excellence / Databricks Consumption: • Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency. • Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle. • Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans. • Play a crucial role in achieving the technical win in complex sales cycles. Customer Success and Value Delivery: • Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses. • Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success. What we look for: • Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning. • Leadership: 5+ years of experience leading technical teams, preferably in a pre-sales organization, exceeding annual quotas and building strategic accounts. • Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions. • Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization. • Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners. • Nice to Have: Experience in the healthcare industry especially with hospital systems, healthcare providers, and health plans 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 $192,100 — $264,175 USD Zone 2 Pay Range $192,100 — $264,100 USD Zone 3 Pay Range $192,100 — $264,100 USD Zone 4 Pay Range $192,100 — $264,100 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.
HQI 84
FEQ427R388 As an Senior Manager, Field Engineering, you will lead a broader team of technical customer advisors and help shape the strategy, roadmap, and operating model for a significant Field Engineering portfolio. You will scale impact beyond your immediate team through other leaders, cross-functional initiatives, reusable practices, and strong customer and partner relationships. This role typically leads Field Engineering professionals across a broader portfolio and may include responsibility for one or two managers. Depending on the assignment, you may support a major segment, a multi-country portfolio, or an equivalent area of complexity. THE IMPACT YOU WILL HAVE • Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio. • Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals. • Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months. • Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans. • Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy. • Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes. • Coach leaders and senior practitioners through complex customer, technical, competitive, organizational, and performance situations. • Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team. • Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities. • Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity. • Model and strengthen a culture of psychological safety, inclusion, accountability, continuous learning, and high performance. WHAT WE LOOK FOR • Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment. • Proven ability to hire bar-raising talent, develop leaders, manage performance, and make thoughtful decisions about team structure, capability mix, and resourcing. • Experience leading through other leaders or serving as a senior leader on a complex team. • Strong strategic judgment: you can identify the highest-impact priorities, allocate resources, manage risk, and connect near-term execution to longer-term goals. • A track record of building repeatable operating mechanisms, playbooks, tools, or programs that scale beyond your immediate team. • Ability to influence senior internal partners across Sales, Professional Services, Solutions Architecture, Marketing, Partners, Product, Engineering, and Support. • Strong customer-advisory capability, including the ability to guide senior stakeholders through complex technical and business decisions. • Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption considerations. • An AI-first, builder mindset with evidence of applying emerging tools or approaches to improve customer outcomes and organizational effectiveness. • Demonstrated alignment with Databricks Culture Principles and the ability to translate them into clear expectations and daily team practices. BASIC QUALIFICATIONS • Experience managing technical customer-facing teams and/or other people leaders. • Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives. • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. • Strong written, verbal, presentation, decision-making, and stakeholder-management skills. • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience with Databricks or comparable data and AI platforms. • Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices. • Experience designing or improving Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models. • Experience building partner ecosystems and cross-functional communities of practice. • Experience using AI, automation, dashboards, or other mechanisms to improve organizational scale and repeatability. 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 $192,100 — $264,175 USD Zone 2 Pay Range $192,100 — $264,100 USD Zone 3 Pay Range $192,100 — $264,100 USD Zone 4 Pay Range $192,100 — $264,100 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.
HQI 82
(FEQ327R582) The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to Director, Field Engineering. The impact you will have: • You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode • Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward • Make your customers extremely successful with Databricks and provide outsized value to their businesses • Establish relationships across the business to make your customers and team successful • Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota • Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners • Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership • Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: • 5+ years of experience leading Data & AI Engineering teams, technical pre-sales and/or post-sales teams, with a proven track record in the management of elite technical individual contributors. • 5+ years of hands-on experience in developing data solutions with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, Generative AI infrastructure). • Strong skillset in technical discovery, architecture design validation, structured proof-of-concept (POC/MVP) management, and value-selling frameworks. • Trusted advisor to technical executives who guide strategic data infrastructure decisions • Team player, but able to challenge and define priorities. • Self-starter, challenger, strategic planner & analytical thinker. • Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. • Experience working with other teams such as Sales, Product Management, and Forward Deployed Engineering teams. Note: Preferred location to hire is in Stockholm (Sweden) given the current team distribution. We can consider candidates based in the Nordics region (Sweden, Denmark & Finland) on the basis that they are flexible for a higher level of travel required in the role. #LI-hybrid 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.
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