Senior Leadership Technical Program Manager, Core ML
Mountain View, CA, USA · Senior
Sponsorship not specified$240k-$333kDetected 1 day ago
GCPMachine LearningProduct ManagementResearchLeadershipCommunication
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odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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About the role
- About the job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily.
Responsibilities
- Apply technical understanding to evaluate architectural trade-offs, drive design discussions, and manage complex cross-group dependencies.
Requirements
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 7 years of experience in leadership roles with/without direct reports.
Nice to have
- 10 years of experience managing cross-functional/team projects.
- Proven experience managing highly complex, high-stakes, and cross-functional technical programs in the AI/ML space.
- Demonstrate technical judgment and architectural understanding.
- Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily.
- This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders.
- You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
- Accelerate Google's delivery of the world's most advanced AI products and compute by providing services, infrastructure, and frameworks that are efficient and reliable at scale.
- The Core ML PMO is responsible for driving standard, repeatable software stacks, reducing technical fragmentation, and accelerating the transition from research to production.
Compensation
- US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Benefits
- Define and monitor program health metrics, report on OKR progress to leadership, and streamline communication across virtual and dedicated engineering structures.
Company info
- We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
- Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
- Partner closely with Engineering Leads, PMs, and cross-Product Area customers (e.g., Cloud, Search, Ads, YouTube) to align roadmaps, capture dependencies, and unblock execution bottlenecks.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.