Senior Product Manager, Lakeflow
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will shape the future of data-aware orchestration on the Lakeflow Jobs team. You'll set vision and priorities across orchestration, triggers, authoring and observability, define success metrics, partner cross-functionally with engineering, field teams and partners, talk to hundreds of customers, and own the product lifecycle including PRDs, release notes and launches.
Requirements
- 5+ years of experience
- Bachelor's degree in Computer Science or similar field
- Product Management experience (inbound, outbound, cross-functional processes)
- Understanding of orchestration tools (Airflow, Dagster, Prefect)
- Technical understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
- Data analysis skills (SQL, Python, operational dashboards)
Responsibilities
- Define strategy and roadmap across orchestration, triggers, authoring, and observability
- Define success metrics and use data to guide roadmap decisions
- Partner with engineering, field engineering, solution architects, and external partners
- Talk to customers and advocate for their needs
- Write PRDs, release notes, and documentation and drive launches