Sr. Staff, Technical Program Management

Databricks · Mountain View, California · IT · listed July 31, 2026

The shape of it

Seniority
Staff
Experience asked
10+ years
Where
Not stated
Stated pay
$222,500 – $305,900 USD
Requirements listed
7
Length
1,079 words

In the posting’s own words

As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform.

What it asks for · 7

  • 10+ years of technical program management experience leading highly complex, company-wide technical transformations within hyper-growth SaaS, cloud infrastructure, or Tier-1 technology environments.
  • Proven people management experience overseeing lean teams of high-performing TPMs while remaining deeply technical and maintaining a "hands-on leader" archetype.
  • Deep architectural and systems fluency , with a strong technical background and the ability to comfortably navigate complex engineering discussions involving distributed systems, large-scale data infrastructure, and environments like Scala.
  • Demonstrated experience in structural change management , specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis.
  • Exceptional executive presence and communication skills , with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs.
  • Data-driven analytical mindset with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

Also a plus

  • Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities inside enterprise platforms or customer-facing production workflows.
  • Deep familiarity with the Databricks ecosystem (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms.
  • Experience guiding products through a full incubation lifecycle , successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market.

What the job covers

  • Drive the Agentic AI Mission: Lead the end-to-end strategy, execution, and deployment of an internal agentic platform, transitioning the enterprise from a legacy third-party RFP culture to a high-velocity, in-house building culture.
  • Redefine the AI-Augmented SDLC: Serve as a thought leader to fundamentally re-engineer the software development lifecycle, working alongside PMs, TPMs, and SWEs to embed GenAI and intelligent automation into core operational workflows.
  • Scale Massive Cross-Functional Initiatives: Orchestrate large-scale, highly complex programs across multiple business units, including sophisticated corporate security-hardening programs and enterprise-wide platform migrations.
  • Deliver Measurable Operational Leverage: Own business and technical outcomes by establishing rigorous metrics, managing observability, and evaluating system ROI to continuously improve platform adoption, employee NPS, and organizational value.
  • Empower and Manage an Elite Team: Provide high-impact technical mentorship and leadership to a team of 3–4 TPMs, scaling their technical execution and championing distributed systems excellence.

Degree language

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

Tools and skills named

Data
  • Databricks5×
  • Data warehouse
Go to market
  • Go-to-market2×
  • SaaS2×
Cloud & infra
  • Distributed systems2×
  • Observability
Languages
  • Python
  • Scala
  • SQL
Ways of working
  • Cross-functional2×
  • Mentorship
Models & research
  • LLM2×
Operations & finance
  • Program management2×
Security & compliance
  • Security

Words the posting leans on

  • technical11×
  • engineering7×
  • platform7×
  • internal6×
  • software6×
  • systems6×
  • experience5×
  • program5×
  • corporate4×
  • data4×
  • enterprise4×
  • highly4×
  • leader4×
  • management4×
  • product4×
  • tpms4×

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 25, 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.