Databricks is the data and AI company. We enable data teams to solve bold problems by building and running a data and AI infrastructure platform used by thousands of customers. The Lakeflow Jobs team focuses on data-aware orchestration within the Databricks Data Intelligence Platform, powering ETL, AI/ML, BI, and streaming workloads with high reliability.
As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration and drive control-flow capabilities, authoring experiences, and observability features that help customers productionize workflows with practices like source control, code promotion, and system observability.
This role requires a deep understanding of orchestration workflows and data pipelines, as well as reliability of services. You will collaborate with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs remains a 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.
- 5+ years of experience
- Bachelor’s degree in Computer Science or a related field
- Experience in Product Management (inbound, outbound, cross-functional processes)
- Solid understanding of major orchestration tools (Airflow, Dagster, Prefect, etc.)
- Technical understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
- Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
Databricks is a data and AI company trusted by more than 10,000 organizations worldwide. We unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. We are headquartered in San Francisco with offices globally. We were founded by the creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
BenefitsDatabricks strives to provide comprehensive benefits and perks that meet the needs of our employees. For region-specific details, please visit our benefits page.
Our Commitment to Diversity and InclusionDatabricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.
ComplianceIf access to export-controlled technology or source code is required for performance of job duties, theEmployer may decide whether to apply for a U.S. Government license for such positions.
Apply for this jobTo apply, please complete the application form with your information and attachments. Typical fields include: First Name, Last Name, Email, Phone, Country, Resume/CV, Cover Letter, and optional LinkedIn or website. You may be asked standard eligibility questions and sponsorship details.
#J-18808-Ljbffr€70000 - €90000 monthly