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Active5mo ago

Sr Staff Strategic Product Operations Manager

Databricks·📍 Bellevue, Washington, United States

Employment

Full-Time

Work mode

On-site

Experience

9+ years

Salary

$179.7K – $247.1K/yr

Role overview

Job description

P-1495 About Databricks 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 solve 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. About the Role Databricks is seeking a Senior Staff Strategic Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, d

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About this listing

  • Listed from Databricks's careers site via Greenhouse · last confirmed on the source 23 Oct 2026
  • Posted 27 Apr 2026

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Role market pulse

How Operations Manager demand looks in United States

71/100 · rising

Live jobs

485

Posted 30d

297

30d movement

+94.1%

Remote share

10.1%

Salary listed

26.8%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics); An MBA i s highly preferred; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Engineering - Pipeline

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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