Manager/Senior Product Manager - Seattle, WA, United States - Databricks

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    Description

    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.

    Streaming is one of the fastest growing product areas of the Databrick Lakehouse platform. In this role, you will drive product management for the backbone of Lakehouse's streaming capabilities - Structured Streaming Engine. 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 streaming for the overall Databrick product portfolio including data science, data engineering, and machine learning products.

    Drive product management for one of the fastest growing businesses at Databricks
    Develop and deepen understanding of and expertise in streaming, a hyper-growing 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.
    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)
    ~ Comprehensive health coverage including medical, dental, and vision
    ~Flexible time off
    ~ Gym reimbursement
    ~ Annual personal development fund
    ~ Employee Assistance Program (EAP)

    Want to help speed the development of medical breakthroughs? We're on a mission to help data teams solve the world's toughest problems.

    Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we're just getting started.

    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.

    The pay range(s) for this role is listed below and represents base 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.

    The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

    Databricks is the data and AI company.

    More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

    To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
    Our Commitment to Diversity and Inclusion
    At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

    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.

    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.