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Staff Technical Program Manager- Platform Features

Databricks Mosaic · Mountain View, California; San Francisco, California · San Francisco, California

CHECKED 15H AGO

Infrastructureonsitestaff$180k–$248k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead priority platform programs used by tens of thousands of enterprises.
  • Scale core workspace, identity and cross-product workflows at Databricks.
  • Unify product experiences across data, AI and governance capabilities.

What they offer

  • Comprehensive health coverage (medical, dental, vision)
  • 401(k) plan
  • Equity awards
  • Flexible time off
  • Paid parental leave and family planning support
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Annual performance bonus eligibility

Ideal candidate

Autonomous, structure-driven TPM who thrives in ambiguity and loves aligning senior stakeholders to ship complex enterprise platforms with measurable customer impact.

Requirements

  • 10+ years leading large-scale cross-functional programs in enterprise software or B2B technology
  • Proven experience delivering end-to-end product launches across geographies and functions
  • Ability to bring structure to ambiguous, fast-moving environments with high autonomy
  • Experience influencing roadmap and prioritization beyond delivery
  • Strong communication with engineers and VP/C-level stakeholders
  • Track record building scalable processes and operating models
  • Experience defining success metrics; SQL or dashboards familiarity is a plus
  • Experience with cloud platforms, data platforms or developer-facing products preferred

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗