Google DeepMind · 8 hours ago
Technical Program Manager, Gen AI Manager, 12 Months FTC
Buffalo-Niagara Area
Full-time
Hybrid
Mid, Senior Level
$156K/yr - $229K/yrGoogle DeepMind is seeking a GenAI Technical Program Manager to serve as the operational backbone of their research teams. This role involves managing critical compute resources and driving technical initiatives to support high-impact GenAI projects.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Driving Technical Projects & Roadmaps: Lead complex technical initiatives and define tech roadmaps to align resource scaling with strategic research goals
Stakeholder Collaboration: Partner closely with Research Leads, engineers, and leadership to resolve resource conflicts and negotiate solutions for high-priority experiments
Operational Execution: Execute technical configurations (CLs, MDB groups) for compute allotments and manage quota access as research needs evolve
Efficiency & Analytics: Monitor fleet usage metrics to proactively identify limitations and coordinate rebalancing across rotating projects
Program Management: Manage full project lifecycles, defining milestones, managing risks, and ensuring the smooth landing of operational initiatives across different research sub-units
Qualification
Required
Past Compute Experience: Any type of past experience managing technical resources (cloud compute, hardware fleets, or large-scale quotas). We value the ability to learn on the job and ramp up quickly
Quick Ramp-up: Demonstrated ability to enter new technical areas and become productive in a short period
Strong Program Management: Proven track record of driving projects from inception to landing, managing complexity, and delivering results
Stakeholder Management: Excellent skills in collaborating with stakeholders (researchers, engineers, leadership) to manage conflicting priorities
Tech Roadmaps: Experience defining and executing technical roadmaps for complex systems
Preferred
Experience with configuration languages (e.g., textproto) or version control systems (e.g., submitting CLs)
AI/ML Domain Knowledge: Familiarity with the training lifecycle for large-scale models
Process Improvement: Experience designing new operational processes or trackers to improve team efficiency
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Founded in 2010
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
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