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Every open role from the boards that matter, in one pool you can search, score against your CV and track.

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The pool

Every open role, one list

4,480 live roles read straight from 4 job boards. 2,030 of them are remote.

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Software1,546Data & AI445Design71Product166Sales722Marketing170Support145Operations317Finance127People65Legal87Other619
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Greenhouse3,284Ashby1,167Lever25Glints4

311 roles

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  • D

    Sr. Product Manager, Data Governance

    2y ago

    Databricks · Seattle, Washington

    Lead

    Product Management · Data Warehousing · Cross-functional Collaboration · Databricks · Analytics +4

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Sr. Product Manager, Data Governance

2y ago

Databricks · San Francisco, California

Lead

Product Management · Data Warehousing · Cross-functional Collaboration · Databricks · Analytics +4

Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Customer Success Manager

    2y ago

    Stripe · Chicago, IL; Atlanta, GA

    Lead

    Product Management · Customer Success · UX · Performance Optimization

    Greenhouse· Last observed unknown· Open status unconfirmed

  • O

    Senior Support Engineer - Dublin

    2y ago

    OpenAI · Dublin, Ireland

    Senior

    Distributed Systems · Incident Response · Observability · Python · SRE

    Ashby· Last observed unknown· Open status unconfirmed

  • D

    Sr. Product Manager, Databricks Free Edition

    2y ago

    Databricks · San Francisco, California

    Lead

    Cross-functional Collaboration · Product Management · UX · Databricks · Data Warehousing +2

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Staff Product Manager

    2y ago

    Databricks · Berlin, Germany

    Lead

    Product Management · Cross-functional Collaboration · Databricks · Data Warehousing · Analytics +5

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Staff Product Manager

    2y ago

    Databricks · Amsterdam, Netherlands

    Lead

    Product Management · Machine Learning · Cross-functional Collaboration · Databricks · Data Warehousing +6

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Associate Product Manager, New Grad (2027 Start)

    2y ago

    Databricks · Bellevue, Washington; Mountain View, California; San Francisco, California

    Lead

    Machine Learning · Databricks · Data Warehousing · Analytics · Python +4

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Staff Product Manager, Security

    3y ago

    Databricks · Seattle, Washington

    Lead

    Product Management · Customer Success · UX · GCP · GDPR +7

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Staff Product Manager, Security

    3y ago

    Databricks · San Francisco, California

    Lead

    Product Management · Customer Success · UX · GCP · GDPR +7

    Greenhouse· Last observed unknown· Open status unconfirmed

  • D

    Sr. Product Manager, Data Engineering

    4y ago

    Databricks · San Francisco, California

    Lead

    Business Intelligence · Product Management · Data Warehousing · Machine Learning · Cross-functional Collaboration +4

    Greenhouse· Last observed unknown· Open status unconfirmed

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    Greenhouse

    Sr. Product Manager, Data Governance

    Databricks · Seattle, Washington

    Apply on GreenhouseOpen full page
    Level
    Lead
    Where
    Seattle, Washington
    Posted
    2y ago
    Last seen on its board
    Unknown

    Skills in this posting

    • Product Management
    • Data Warehousing
    • Cross-functional Collaboration
    • Databricks
    • Analytics
    • Scalability
    • Excel
    • Machine Learning
    • UX

    The posting

    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. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $148,800 - $204,525 USD About Databricks Databricks is the Data and AI company. More than 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.

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