AI Operations

Databricks · United States · Sales Operations · listed February 11, 2026

The shape of it

Seniority
Senior
Experience asked
5+ years
Where
Not stated
Stated pay
$125,000 – $171,950 USD
Requirements listed
2
Length
993 words

In the posting’s own words

We are reimagining GTM at Databricks and are seeking a hands-on, technical Product Manager to own AI-powered GTM agents end-to-end - building and prototyping agents directly on Databricks. You'll sit on the AI Ops team, between senior GTM leadership, Sales Ops, and the field - translating field reality into a product roadmap that improves how Databricks sells at every stage of the motion.

What it asks for · 2

  • Strong understanding of the seller experience: You have a sharp gut for product development and UI, and you can tell when an agent helps a seller vs. gets in the way and creates more overhead. You can sit with an AE for an hour and walk away with a prioritized list of where to build, and you can feel out the difference between a personal preference and a best practice worth replicating.
  • Experience: 5+ years in product management, GTM strategy, sales ops, or a field-adjacent role such as Solutions Architect, with at least 3 years owning a product or program end-to-end. A strong, firsthand understanding of the AE workflow and how reps actually sell matters more than the title on your resume. Hands-on experience building on Databricks (SQL, notebooks, and agent or workflow tooling) or similar technology stacks is a strong plus.

Tools and skills named

Data
  • Databricks10×
Go to market
  • Go-to-market7×
  • Solutions architecture
Product & design
  • Roadmap4×
  • Product management3×
  • Prototyping
Languages
  • SQL3×

Words the posting leans on

  • agents14×
  • build10×
  • gtm7×
  • product7×
  • workflow6×
  • hands-on5×
  • roadmap5×
  • experience4×
  • field4×
  • ops4×
  • seller4×
  • building3×
  • end-to-end3×
  • notebooks3×
  • quality3×
  • sells3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.