RDQ226R497

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. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all 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:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

RDQ226R497

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. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all 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:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

RDQ427R179

Are you a mission-driven leader with a passion for how data and AI can play a meaningful role in addressing global challenges? Do you enjoy shaping narratives, building programs, and translating complex work into stories that inspire action?

As the Lead for Databricks for Good, you will own Databricks’ social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest organizations to design and scale programs that apply data and AI to real-world challenges.

You will set the vision for Databricks for Good and ensure it delivers real, lasting impact, while clearly articulating how that impact is created and why it matters.

About Databricks for Good

At Databricks, we believe data and AI can be a force for positive change. Databricks for Good exists to ensure our platform empowers organizations working on humanity’s most pressing challenges, including responding to crises, advancing education, improving health outcomes, and accelerating climate action.

This role is an opportunity to define and lead that mission and shape how Databricks shows up in the world through meaningful, real-world impact.

What you’ll do

Your responsibilities will span program design and management, storytelling, and owning execution across Databricks and its partners. 

• Build and lead Databricks for Good from the ground up, defining its mission, success metrics, execution strategy, and long-term vision.
• Design and run high-impact programs such as social impact partnerships, hackathons, student and university initiatives, and nonprofit enablement programs.
• Serve as a public-facing representative for Databricks for Good by hosting events, delivering talks, moderating panels, and representing Databricks in global social impact forums.
• Own the partnership funnel for Databricks for Good technical engagements, with the goal of helping nonprofits apply Databricks to real-world challenges.
• Create compelling content - case studies, talks, blogs, and learning resources - that highlight how data and AI can be used for social good.
• Work cross-functionally with Field Engineering, Developer Relations, Marketing, Legal, and Sales to ensure social impact initiatives are scalable, technically sound, and aligned with company priorities.
• Act as a trusted internal advisor on social impact use cases, helping teams understand the needs, constraints, and operating realities of mission-driven organizations.
• Gather feedback from both internal and external collaborators to continuously improve programs and inform program direction.

The impact you will have

• Establish Databricks for Good as a credible, respected, and scalable social impact initiative throughout the tech industry.
• Enable nonprofits, universities, and public-sector organizations to unlock insights and outcomes that are uniquely possible with data and AI.
• Build durable partnerships that align Databricks’ strengths with real-world societal needs.
• Inspire employees, customers, and students to contribute their skills toward meaningful causes.
• Influence how Databricks technologies are used, taught, and evolved for public good.
• Help define what “data and AI for good” looks like at enterprise scale.

What we look for

• 7+ years of experience in social impact programs, developer relations, partnerships, technical program management, or a related field.
• Proven ability to build and scale programs from zero to one, with ownership over strategy, execution, and outcomes.
• Experience working with nonprofits, universities, NGOs, public-sector institutions, or mission-driven organizations.
• High-level technical understanding of Databricks’ product-market fit, enabling robust direction of partnerships and engagement selection.
• Exceptional communication and storytelling skills, with comfort presenting to both technical and non-technical audiences.
• Demonstrated ability to convene communities and stakeholders across sectors and geographies.
• High empathy, strong judgment, and the ability to navigate ambiguity while driving clarity and momentum.
• A collaborative mindset and a track record of working cross-functionally to turn ideas into execution.

RDQ427R371

About the Role

We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams.

Impact you will have

• Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities.
• Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery.
• Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery.
• Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions.
• Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins.

What we’re looking for

• 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns.
• Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations.
• Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns.
• Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health.
• Deep knowledge of Databricks platform and Microsoft data/AI ecosystem 
• Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams.

Preferred:

• Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs.
• Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes.
• History of driving product-to-product integrations between major platforms.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex).

RDQ427R325

About the Role

We're seeking a Senior Staff Partner Engineer to own and evolve the technical foundation of the Built-On program. You will own the Partner Well-Architected Framework, create production-grade reference implementations that demonstrate best practices, and collaborate with VP and C-level executives at strategic partners to co-architect and validate their platforms. You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ecosystem and accelerate partner time-to-market.

Impact you will have

• Own the design, governance, and evolution of the Partner Well-Architected Framework, defining core architecture standards and validation mechanisms for Built-On solutions.
• Work with director, VP, and CPO-level partner architects to design, review, and validate their platforms for security, scalability, and alignment with Databricks standards.
• Build and maintain production-grade reference implementations, blueprints, and technical examples that demonstrate end-to-end Built-On architectures in practice.
• Drive alignment across Product, Engineering, and Field teams to shape platform roadmap priorities based on ecosystem insights and partner requirements.
• Evangelize the framework through clear technical documentation and published guidance, validating partner solutions and approving architectures for Built-On program inclusion.

What we’re looking for

• 10+ years of experience in solution architecture, field engineering, or technical roles in cloud, data, or AI/ML domains, with proven experience designing and owning distributed SaaS platform architectures from end to end.
• Deep expertise in multi-tenant SaaS architectures including authentication patterns (OAuth 2.0, OIDC, SSO federation), data isolation, and security best practices.
• Strong hands-on software development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement.
• Technical expert on Databricks product suite and cloud-native architectures (AWS, Azure, GCP), with ability to translate partner requirements into platform priorities.
• Demonstrated experience managing senior technical relationships (VP/C-level) and complex projects in partner ecosystems, with excellent communication and consultative skills.

Preferred

• Experience building B2B applications on Databricks or familiarity with hyperscaler Well-Architected Frameworks.
• Experience with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).
• Background in consulting or services industry with experience mentoring senior technical talent and leading cross-functional initiatives.

RDQ227R1069

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. 

More about the team: 

The Enterprise platform UX team is responsible for driving the user experience across critical enterprise concerns, specifically focusing on governance, security, and platform observability. This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

• Help design best in class monitoring and governance experiences at scale.
• Design unique interactions that will help administrators understand vast amounts of telemetry data.
• Explore new ways in which Generative AI can enhance the platform experience and developer workflows.
• Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition.
• Conduct user research to identify customer needs and pain points related to data science and platform usage.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring is a plus.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R269

Are you a passionate Developer Advocate at heart? Someone who loves bringing the community together, hosting and speaking at events, and diving deep into application development and developer experience?

As a Databricks Developer Advocate on the Neon DevRel team, you’ll serve as a key link between our engineering teams and the growing community of application and agent developers building on Postgres and Neon. You’ll use your technical expertise to help maintain and extend our SDKs, educate and inspire our users, and shape the future of Agent and Developer Experience (AX & DX) for Neon.

Developer experience will be at the core of your role. You’ll help maintain our TypeScript SDK and CLI, Neon’s MCP server, and other developer-facing tools — with a strong focus on staying ahead of the AI curve. You’ll share your expertise in DevTools and AX through talks, meetups, blog posts, videos, and community engagement. Your work will empower both agents and developers to build more effectively with Neon, while showcasing our commitment to world-class DX and AX.

You’ll collaborate closely with the neon.com community, as well as product and engineering teams, ensuring developer feedback directly informs product direction. You’ll also partner with fellow advocates, program managers, and the broader Databricks DevRel organization to deliver a cohesive and impactful agent experience strategy.

The ideal candidate embodies the values of our DevRel team: deep passion for application development, strong empathy for developer needs, and the ability to communicate complex ideas clearly and effectively.

In this role, you’ll educate and grow the Neon community through high-quality technical content and hands-on experiences — while continuously feeding insights back into the product to elevate the developer experience even further.

More about the Neon DevRel team

Neon is Databricks’ product-led growth Serverless Postgres and BaaS platform, built with the vision of helping developers ship faster. Delivering on this mission depends on building trust and recognition within a growing community of application developers, while also serving the broader Databricks user base.

The neon.com DevRel team at Databricks is focused on building and strengthening relationships with agent and application developers, while also expanding its reach into areas like code generation and AI-driven development. Our primary goal is to drive awareness, enablement, and driving community of the neon.com platform through a product-led growth motion.

The impact you will have

• Enhance and develop customer-facing SDKs & libraries to empower builders to succeed with Neon
• Create developer-focused content that helps Neon users discover new features, solve real problems, and grow their skills on the platform.
• Drive adoption and excitement not just by speaking at events, but by engaging with the community, building connections, and strengthening a shared sense of belonging.
• Produce educational and community-focused assets: videos, tutorials, sample projects, blog posts, and resources driven by community feedback and questions.
• Expand and engage the Neon community through conference presence and online spaces (e.g., Discord).
• Collaborate with product and engineering to surface insights from the community and ensure developer needs influence roadmap decisions.
• Create and manage programs that deepen engagement, such as creator and ambassador initiatives, open source collaborations, and other developer-focused movements.
• Actively gather, analyze, and amplify community feedback to continuously improve Neon’s product experience and developer journey.

What we look for

• 5+ years of experience as a Developer Advocate, software engineer, solutions architect, or a related role.
• Proven ability to take ownership of outcomes and deliver with minimal supervision.
• Professional experience building and shipping software or data solutions.
• Demonstrated skill in creating impactful technical content tailored to developers.
• Deep empathy for developer needs, with the ability to provide clear answers in community spaces.
• Mastery in at least one core advocacy skill (e.g., public speaking, technical writing, live demos, curriculum development).
• Applied expertise in specific product components, with the ability to translate them into practical guidance.
• Exceptional written and verbal communication skills, including strong presentation abilities.
• Track record of active involvement in developer communities (meetups, forums, open source, user groups) and success collaborating across functions to achieve shared goals.

RDQ427R273

Mission

At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.

As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.

You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.

The impact you will have:

• Reimagine how users explore data using natural language and AI assistance
• Design interactions that make AI-generated insights transparent and trustworthy
• Create experiences that move from exploration → validation → action in minutes
• Enable collaboration between data engineers, analysts, and business leaders
• Help define new design patterns for AI-native enterprise software
• Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.

What we look for:

• 5+ years of product design work experience.
• A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
• You’re comfortable talking to strategic customers in key decision-making positions.
• Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
• Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
• Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
• A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
• You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
• A portfolio showcasing the end-to-end design process.
• Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
• Coding React, SQL, CSS, and/or Python is a nice-to-have.

RDQ427R275

Location: San Francisco or Seattle 

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. 

More about the team: 

The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.

Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.

The impact you will have:

• Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year 
• Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
• Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready
• Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
• Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.

What we look for:

• 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
• Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.
• Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences.
• Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.

RDQ427R275

Location: San Francisco or Seattle 

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. 

More about the team: 

The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.

Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.

The impact you will have:

• Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year 
• Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
• Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready
• Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
• Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.

What we look for:

• 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
• Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.
• Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences.
• Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.

RDQ427R276

Location: San Francisco or Seattle

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.

More about the team:

The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.

Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations.

You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
• You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.
• You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

What we look for:

• 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.
• Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.
• Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus.
• Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.

RDQ427R276

Location: San Francisco or Seattle

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.

More about the team:

The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.

Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations.

You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
• You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.
• You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

What we look for:

• 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.
• Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.
• Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus.
• Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.

RDQ427R180

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.

More about the team: 

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.

Depending on your background, you will focus on one of two critical product areas:

OLTP Databases

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.

Data Governance

You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).

The Impact you will have: 

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

What we look for:

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users 
• Deep domain expertise in one of the following:
• Transactional databases (OLTP), cloud-native databases, or distributed systems
• Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.

Depending on your background, you will focus on one of two critical product areas:

OLTP Databases

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.

Data Governance

You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).

This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience. 

You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.

The impact you will have

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

What we look for

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users 
• Deep domain expertise in one of the following:
• Transactional databases (OLTP), cloud-native databases, or distributed systems
• Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams

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 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. 

More about the team: 

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.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

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 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. 

More about the team: 

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.

The impact you will have:

• You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
• You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
• You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
• You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
• You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
• You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
• You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.  

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.
• Passion for designing products that simplify user experience of technically complex products.

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.

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.

RDQ426R402

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.

As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.

This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact you’ll have:

• Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
• Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
• Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
• Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
• Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

What we look for:

• 5+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
• Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
  
  

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.
  
  

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.

RDQ426R242

Databricks is a powerful, technical platform used by a diverse and growing range of personas, from data scientists and engineers to analysts and business leaders, to developers. To help these users succeed, we need world-class content that is timely, contextual, accurate, and helps users achieve their goals. This leads to faster adoption, lower support costs, and higher customer satisfaction. Achieving this impact requires a strategic shift: treating content as part of the product.

We’re looking for a Product Manager to lead our Content Experience strategy. In this role, you will own how users discover, learn from, and act on content: across documentation, in-product help, AI-assisted guidance, and beyond. You’ll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.

What You’ll Do

• Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
• Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
• Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
• Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
• Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
• Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.

What We Look For

• 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
• Deep understanding of developer tools, data platforms, or technical products with large surface areas
• A strong systems mindset — comfortable designing scalable workflows, content architectures, and tooling integrations
• Experience with developer documentation, content platforms, or product onboarding is a plus
• Strong customer empathy and an obsession with helping users succeed
• Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
• Experience working with technical and non-technical contributors in a collaborative content ecosystem

RDQ426R242

Databricks is a powerful, technical platform used by a diverse and growing range of personas, from data scientists and engineers to analysts and business leaders, to developers. To help these users succeed, we need world-class content that is timely, contextual, accurate, and helps users achieve their goals. This leads to faster adoption, lower support costs, and higher customer satisfaction. Achieving this impact requires a strategic shift: treating content as part of the product.

We’re looking for a Product Manager to lead our Content Experience strategy. In this role, you will own how users discover, learn from, and act on content: across documentation, in-product help, AI-assisted guidance, and beyond. You’ll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.

What You’ll Do

• Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
• Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
• Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
• Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
• Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
• Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.

What We Look For

• 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
• Deep understanding of developer tools, data platforms, or technical products with large surface areas
• A strong systems mindset — comfortable designing scalable workflows, content architectures, and tooling integrations
• Experience with developer documentation, content platforms, or product onboarding is a plus
• Strong customer empathy and an obsession with helping users succeed
• Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
• Experience working with technical and non-technical contributors in a collaborative content ecosystem

RDQ426R238

Location: San Francisco, Bellevue, Amsterdam

Role Overview: Are you a recognized technical leader in Generative AI and MLOps, driven to define the future of production AI Agentic Systems? This Senior Developer Advocate role is a high-level position that grants strategic ownership over developer adoption and technical discourse surrounding Agent Bricks on the Databricks Data Intelligence Platform.

As a crucial link between our engineering teams and the global developer community, you will accelerate the careers of data scientists and AI engineers by coalescing advanced research, customer learnings, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will be instrumental in cultivating the global community for AI Agentic workflows, LLMOps, with particular focus on  MLflow, and Agentic System governance.

More About The DevRel Team
At Databricks, we are passionate about enabling data and AI teams to solve the world’s most challenging problems. Our mission in Developer Relations (DevRel) is to empower data practitioners, data scientists, and the broader developer ecosystem by cultivating vibrant communities, crafting exceptional content, and fostering a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.

The Impact You Will Have
You will leverage your technical depth, community-building skills, and market knowledge to drive awareness and adoption, positioning Databricks as the definitive technical leader in enterprise AI governance and Agentic Systems.

• Strategic Roadmap Ownership: Define and execute the global technical advocacy strategy and roadmap for a critical pillar of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product goals and quantifiable metrics.
• Evangelism: Work with the field AI engineers to design and deploy production-grade reference implementations and create high-impact live demonstrations (demos) that solve real-world enterprise GenAI challenges, showcasing best practices in performance, evaluation, and security. You will evangelize Agent Bricks as the definitive way to "Take your AI to your Data".
• Technical Content Scaling: Create high-quality, actionable educational resources, including comprehensive courseware, advanced tutorials, technical blog posts, and video content. This content will focus on accelerating the end-to-end AI Agentic workflows and LLMOps lifecycle, including vectorization, prompt engineering, and the use of MLflow, Agent Evaluation, and Agent Feedback for continuous refinement.
• Product Influence and Advocacy: Serve as the primary internal technical advocate for the global AI/ML community, translating complex friction points in the developer experience into actionable engineering specifications and influencing the product direction of Agentic Systems.
• Community Governance and Growth: Speak and build community by expanding and governing the MLOps and LLMOps communities (including MLflow meetups), mentoring new contributors, and enabling data teams to leverage tools for building MLOps/LLMOps infrastructure. You will establish thought leadership by articulating complex concepts, such as AI Guardrails, lineage tracking, and security controls, within RAG applications, ensuring that Agents are built on governed data.

What We Look For
We are seeking a seasoned Developer Advocate who possesses deep technical proficiency, a verifiable track record of community leadership, and genuine empathy for the developer journey.

• Experience and Tenure: 5+ years of total technical experience, including a minimum of 3 years in a dedicated Developer Advocate, Developer Evangelist, Solution Architect, Data Scientist, or AI Field Engineering role.
• Production Agentic Systems Track Record: A proven history of building, deploying, and operating production-grade AI Agentic Systems. Expertise in designing robust AI system interactions, implementing RAG chains, and developing autonomous agent applications using the Agent Bricks workflow.
• Deep Technical Proficiency: Expert-level knowledge of Python, major machine learning frameworks (e.g., PyTorch, scikit-learn), and modern LLMOps orchestration tools (e.g., LangChain, LlamaIndex, DSPy). Proficient in using MLflow for MLOps; proficiency with Agent Eval and Agent Feedback preferred
• Databricks Ecosystem Mastery: Comprehensive understanding of the Databricks Intelligence Platform, particularly MLflow and Agent Bricks. Experience with Model Serving (DS/LLM), training models on the platform, and implementing data governance (Unity Catalog) to ensure Agents operate on governed data is essential.
• Verifiable Portfolio and Community Leadership: A demonstrable, high-impact public technical portfolio (e.g., keynote presentations at tier-1 conferences, influential technical articles, significant open source contributions in the AI/ML space, or a successful technical YouTube/podcast series).
• Exceptional Communication and Empathy: Exceptional communication skills with a proven talent for translating complex technical concepts into clear, concise educational material for a broad developer audience. Demonstrated ability to mentor junior technical professionals and strategically create scalable programs (e.g., contributor or ambassador initiatives) that foster community engagement and loyalty.

RDQ226R484

Build the Future of Data & AI with Databricks SQL

At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse? 

We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.

Why Join Us?

• Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
• Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
• Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
• Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.

The impact you will have:

• Own and define the product vision, strategy, and roadmap for Databricks SQL
• 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.
• Drive competitive differentiation and positioning in the cloud data warehouse market.
• 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 SQL, data warehousing, BI, and analytics use cases.
• Ability to break down complex problems into simple, scalable solutions.
• Strong sense of ownership—you thrive in ambiguity and love solving hard problems
•  Experience working with engineers and designers to ship high-impact products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.

Ready to Build the Future?

If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.

RDQ226R484

Build the Future of Data & AI with Databricks SQL

At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse? 

We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.

Why Join Us?

• Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
• Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
• Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
• Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.

The impact you will have:

• Own and define the product vision, strategy, and roadmap for Databricks SQL
• 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.
• Drive competitive differentiation and positioning in the cloud data warehouse market.
• 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 SQL, data warehousing, BI, and analytics use cases.
• Ability to break down complex problems into simple, scalable solutions.
• Strong sense of ownership—you thrive in ambiguity and love solving hard problems
•  Experience working with engineers and designers to ship high-impact products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.

Ready to Build the Future?

If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.

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.

P-1345

You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. 

This role requires coordinating all product activities from vision to implementation, including engaging 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:

• Own the end-to-end product management process
• Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
• Drive launches with product marketing through blog posts, release notes, webinars
• Define and measure OKRs for your products
• Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.

What we look for:

• 6+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Technical skills
• Solid understanding of cloud infrastructure (AWS, Azure)
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)

P-1345

You will be the Product Manager for the Databricks Runtime team in Berlin. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. 

This role requires coordinating all product activities from vision to implementation, including engaging 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:

• Own the end-to-end product management process
• Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
• Drive launches with product marketing through blog posts, release notes, webinars
• Define and measure OKRs for your products
• Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data.

What we look for:

• 6+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Technical skills
• Solid understanding of cloud infrastructure (AWS, Azure, GCP)
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)

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.

P-1016

At Databricks, we are passionate about helping data teams 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. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security.

In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management.

The impact you will have:

• Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
• Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
• Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
• Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.
• Partner with cloud providers and support confidential compute
• Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.

What we look for:

• 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
• Domain expertise in data security, data privacy, and encryption
• An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
• Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Passion for designing products that simplify user experience of technically complex products.

P-1016

At Databricks, we are passionate about helping data teams 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. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security.

In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management.

The impact you will have:

• Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
• Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
• Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
• Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.
• Partner with cloud providers and support confidential compute
• Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.

What we look for:

• 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
• Domain expertise in data security, data privacy, and encryption
• An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
• Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Passion for designing products that simplify user experience of technically complex products.

P-8

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.

Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.

The impact you will have

• Lead product management for one of the fastest growing products and businesses at Databricks
• Make company wide impact by driving Data Engineering across the Databricks product portfolio
• Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
• Define, shape, and drive the future of data processing, data applications, and data pipelines
• Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

What We Look For

• 5+ years of product management and related experience with enterprise or SaaS products.
• Educational or professional background in computer science or related engineering fields.
• Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
• Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
• Analytical skills to make data-driven decisions (e.g. analyze product usage)
• Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
• A background in Data Engineering is a plus but not required.