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Active7h ago

Sr. Product Manager, Databricks Repos

Databricks·📍 San Francisco, California, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$156.6K – $215.3K/yr

Role overview

Job description

RDQ427R130 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. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammat

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Role market pulse

How Product Manager demand looks in United States

76/100 · rising

Live jobs

337

Posted 30d

191

30d movement

+203.2%

Remote share

30.3%

Salary listed

71.5%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

What we look for: 5+ years of experience as a Product Manager working on platform products Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users Experience being a hands-on builder, must be comfortable using our own developer-facing products; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Product

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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