Sr Staff Product Operations Manager

Databricks · Mountain View, California; San Francisco, California · Engineering - Pipeline · listed April 27, 2026

The shape of it

Seniority
Manager
Experience asked
9+ years
Where
Not stated
Stated pay
$199,700 – $274,550 USD
Requirements listed
6
Length
1,328 words

In the posting’s own words

In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association . You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.

What it asks for · 6

  • Professional Experience: 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 i s 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.

Also a plus

  • 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

What the job covers

  • Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
  • Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
  • Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
  • Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
  • Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
  • Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.

Degree language

  • Bachelor’s degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA i s highly preferred.

Tools and skills named

Go to market
  • Go-to-market4×
  • SaaS3×
  • Salesforce
Data
  • Databricks2×
  • Looker
  • Tableau
Ways of working
  • Cross-functional2×
  • Agile
  • Jira
Product & design
  • Product strategy2×
  • Roadmap
Languages
  • SQL2×
Operations & finance
  • Program management2×

Words the posting leans on

  • product17×
  • engineering12×
  • technical12×
  • business11×
  • operational10×
  • support9×
  • experience8×
  • strategic8×
  • management6×
  • complex5×
  • ensuring5×
  • investment5×
  • operations5×
  • platform5×
  • tools5×
  • data4×

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.