3 days ago

Sr. Staff, Technical Program Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Lead an internal incubator within Corporate Engineering to architect, deploy, and scale Databricks’ first-party agentic application platform. Serve as a hands-on, strategic technical leader redefining the AI-augmented SDLC and guiding large cross-functional programs from concept through Go-To-Market readiness. Own measurable outcomes using rigorous metrics and observability, while mentoring and managing a lean team of TPMs to deliver scalable, native solutions that replace legacy third-party vendor tooling.

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Manager level

Key Responsibilities

•Lead end-to-end strategy, execution, and deployment of an internal agentic application platform to transition from third-party vendor reliance to in-house building.
•Redefine the AI-augmented Software Development Life Cycle (SDLC) by partnering with PMs, TPMs, and SWEs to embed GenAI and intelligent automation into operational workflows.
•Orchestrate large-scale, highly complex programs across multiple business units, including security hardening and enterprise-wide platform migrations.
•Establish rigorous metrics, manage observability, and evaluate system ROI to improve platform adoption, employee NPS, and organizational value.
•Provide technical mentorship and leadership to a team of 3–4 TPMs, scaling execution and championing distributed systems excellence.

Pay and Benefits

Salary: USD 222,500 - 305,900 annually

Key Requirements

•10+ years of technical program management experience leading highly complex, company-wide transformations in hyper-growth SaaS, cloud infrastructure, or Tier-1 environments.
•Proven people management experience overseeing lean teams of TPMs while staying deeply technical as a hands-on leader.
•Deep architectural and systems fluency to navigate discussions involving distributed systems and large-scale data infrastructure, including environments like Scala.
•Experience driving structural change management, shifting culture from software procurement (RFPs) to native product building and fit-gap analysis.
•Data-driven mindset leveraging data analytics (SQL, Python, or data notebooks) to define KPIs and quantify performance metrics.

Experience:10+ yearsSaaSCloud infrastructureData and AI platformsDistributed systemsEnterprise toolingGenAI/LLMs

Education:Bachelor's in Computer Science, Engineering, or a related technical discipline

Skills:Executive presenceCommunicationHands-on technical leadershipThought leadershipMentorship

Languages:English

Tech Stack:SQLPythonData notebooksScalaGenAILLMsAgentic platformLakehouse architectureUnity CatalogMosaic AIDelta LakeMLflowObservabilityDistributed systems

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

3 days ago

Sr. Staff, Technical Program Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Manager level

Key Responsibilities

•Lead end-to-end strategy, execution, and deployment of an internal agentic application platform to transition from third-party vendor reliance to in-house building.
•Redefine the AI-augmented Software Development Life Cycle (SDLC) by partnering with PMs, TPMs, and SWEs to embed GenAI and intelligent automation into operational workflows.
•Orchestrate large-scale, highly complex programs across multiple business units, including security hardening and enterprise-wide platform migrations.
•Establish rigorous metrics, manage observability, and evaluate system ROI to improve platform adoption, employee NPS, and organizational value.
•Provide technical mentorship and leadership to a team of 3–4 TPMs, scaling execution and championing distributed systems excellence.

Pay and Benefits

Salary: USD 222,500 - 305,900 annually

Key Requirements

•10+ years of technical program management experience leading highly complex, company-wide transformations in hyper-growth SaaS, cloud infrastructure, or Tier-1 environments.
•Proven people management experience overseeing lean teams of TPMs while staying deeply technical as a hands-on leader.
•Deep architectural and systems fluency to navigate discussions involving distributed systems and large-scale data infrastructure, including environments like Scala.
•Experience driving structural change management, shifting culture from software procurement (RFPs) to native product building and fit-gap analysis.
•Data-driven mindset leveraging data analytics (SQL, Python, or data notebooks) to define KPIs and quantify performance metrics.

Experience:10+ yearsSaaSCloud infrastructureData and AI platformsDistributed systemsEnterprise toolingGenAI/LLMs

Education:Bachelor's in Computer Science, Engineering, or a related technical discipline

Skills:Executive presenceCommunicationHands-on technical leadershipThought leadershipMentorship

Languages:English

Tech Stack:SQLPythonData notebooksScalaGenAILLMsAgentic platformLakehouse architectureUnity CatalogMosaic AIDelta LakeMLflowObservabilityDistributed systems

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn