
Databricks · Seattle
RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a re...
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of
transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s
best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by
engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for
interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting
started.
A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that
powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications
to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git
providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.
We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the
unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL,
Python, and Lakeflow, all in a unified platform.
You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside
Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to
deliver an integrated and intuitive path to production.
CD.
conflict resolution, and deployment workflows.
diffs, merge help, and deployment validation.
control and release management.
surfaces.
and enterprise platform owners.
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
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: * Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet * Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. * Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. * Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. * Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: * 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. * Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). * Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value. * Track record of bringing products from vision to launch in fast-moving, competitive spaces. * Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards. * Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market). * Bonus: exposure to building AI/ML or generative AI–powered products. 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 $148,800—$204,525 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.
RDQ126R51 MISSION At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. THE IMPACT YOU WILL HAVE * Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. * Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. * Work with academic and learning program partners to support data and AI education through Databricks. * Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. * Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. * Define and track success metrics that measure learning engagement and user outcomes. WHAT WE LOOK FOR * 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. * Strong customer empathy and passion for creating learning and onboarding experiences that empower users. * Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. * Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. * Technical proficiency to collaborate effectively with engineering on data and platform capabilities. 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 $148,800—$204,525 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.
RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform. What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: * Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) * Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. * Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. * Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic execution. * Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products. * Collaborate with leadership to align product initiatives with business goals. * Use data-driven insights to measure success, iterate, and improve user experience. What we look for: * 5+ years of product management experience, preferably in cloud, analytics, or data platforms. * Deep understanding of data platforms, the compute products that power them, and compute use cases. * Educational background in computer science or related engineering practice. * Experience working with engineers and designers to ship high-impact and cross-functional products. * Exceptional communication and storytelling skills to inspire teams and stakeholders. * Experience in working hand-in-hand with enterprise customers and ISV partners in the data market. 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 $148,800—$204,525 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.