Technical Program Manager, Gen AI Manager, 12 Months FTC

Google DeepMindMountain View, CA
8h$156,000 - $229,000

About The Position

As a GenAI Technical Program Manager, you will be the operational backbone of our research teams, managing critical compute resources and driving technical initiatives that power our models. This is a versatile role requiring a mix of technical program management (TPgM) and traditional program management (PgM) expertise . You will oversee the allocation and efficiency of TPU fleets while rotating between various high-impact GenAI projects , ensuring that our most critical research initiatives have the infrastructure and operational support they need to succeed. The Role This is a hybrid Technical Program Management role that sits at the intersection of operations, strategy, and research. You will bring a deep understanding of program management fundamentals to handle the complexities of large-scale resource allotments and technical workflows. A key aspect of this role is its dynamic nature: you will continually rotate between different units and projects based on priority and research cycles. You will be responsible for driving technical projects , collaborating with stakeholders to define tech roadmaps , and ensuring high-priority experiments are successfully scheduled and executed. Beyond compute management, you will lead data operations and drive other critical programs from inception to completion.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
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