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Databricks

Sr Staff Product Operations Manager

Databricks · Mountain View, California; San Francisco, California

Posted about 3 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Databricks's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
863 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

The Senior Staff Strategic Product Operations Manager at Databricks will lead the development of operational frameworks that enhance the agility of the engineering organization while aligning product investments with commercial strategies. This role involves orchestrating collaboration between engineering, product, and go-to-market teams, analyzing business investments, and synthesizing complex data into actionable insights for senior leadership. The position requires a strategic thinker who can navigate technical and financial aspects to drive product lifecycle maturity and operational efficiency.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.
  • Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.
  • Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.
  • Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.
  • Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.
  • Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.

Nice to have

  • Familiarity with Databricks tools, especially for extract/transform/load functions
  • Experience working on Support Operations for SaaS based companies.
  • Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.

Worth weighing

  • No specific benefits listed in the posting.
  • Pay range transparency provided, but actual compensation may vary based on multiple factors.
  • Role involves navigating complex datasets and requires strong analytical skills, which may be a challenge for some candidates.

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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