Sr. Product Manager, Lakeflow
- Level
- Lead
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
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)
Databricks's standard text
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
What this role asks for
Particular to this role
ETL · dbt
Rare in Databricks's other 299 open postings.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
69% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Product HIRES STEADILY
This role is one of 36 open in Product. 5 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (36 of 36), Unity (36 of 36), SQL (14 of 36), Machine Learning (13 of 36), Python (11 of 36), Azure (10 of 36), Spark (9 of 36)
OTHER ROLES ON THIS TEAM
- Technical Business Development Manager, Startup & VC Ecosystem posted Oct 13
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Sr. Product Manager, Lakebase/Lakehouse posted Oct 7
- Staff Product Designer, Agentic Coding posted Sep 29
- Staff Product Manager, US Public Sector posted Sep 23
- Sr. Technology Partner Director - AI Code-Gen & Apps posted Aug 20
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, Open Source — Omnigent posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Sr. Developer Advocate, AI and Machine Learning posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Manager, Developer Relations - Open Source posted Aug 14
- Partner Engineer: Partner Intelligence, AI & Apps posted Jul 22
- Staff Partner Engineer, AI Partnerships posted Jul 22
- Staff Product Designer, AI Products posted Jun 11
- Staff Partner Engineer, Azure posted Apr 16
- Sr. Developer Advocate - Neon posted Feb 19
- Sr. Product Designer, AI/BI posted Feb 19
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Staff Product Manager, Serverless Workspaces posted Feb 18
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Repos posted Dec 5
- Sr. Product Manager, Databricks Free Edition posted Oct 31
- Sr. Product Manager, Compute Platform posted Oct 7
- Sr. Product Manager, Compute Platform posted Oct 7
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Databricks AI posted Aug 25
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Data Governance posted Feb 14
- Sr. Product Manager, Databricks Free Edition posted Oct 11
- Staff Product Manager posted Sep 20
- Staff Product Manager posted Sep 20
- Staff Product Manager, Security posted Feb 6
- Staff Product Manager, Security posted Feb 6
- Sr. Product Manager, Data Engineering posted Aug 11
From the team and dates on Databricks's own job board.
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