Technical Program Manager, Frontier AI Research

DeepMind•Mountain View, CA

11h•$163,000 - $237,000

About The Position

Google DeepMind is seeking a visionary Technical Program Manager to serve as the strategic catalyst for our most ambitious research initiatives. As a master of the TPM craft, you possess the rare ability to translate complex technical research and engineering efforts into detailed execution plans and rigorously drive them to completion. You bring an advanced command of program management methodologies and technical processes, proactively leveraging AI-driven workflows to accelerate research velocity and scale your impact. You blend creative, high level problem solving with the deep technical due diligence required to shape architecture and build credibility with world class scientists. By co-developing strategies and scalable roadmaps, you lead through influence, transforming immense technical ambiguity into a mission that people want to follow and results that deliver global scientific impact. About Us At Google DeepMind, we believe AI is a transformative force for humanity. Our multidisciplinary team of scientists, engineers, and ethicists is dedicated to advancing the frontier of machine learning through rigorous discovery and responsible innovation. We tackle the world's most complex challenges, prioritizing safety and ethics as we pioneer technologies that drive scientific progress and deliver widespread public benefit. The Role As a TPM in Frontier Research, you will navigate immense technical complexity and manage critical cross-functional dependencies at the leading edge of AI. You will apply deep technical expertise to perform engineering due diligence, influence high-level architecture, and accelerate the delivery of research. This role demands an exceptional ability to provide clarity within ambiguous environments and implement creative solutions for driving highly technical programs in a fast-paced, competitive scientific landscape. You will drive real impact across Frontier AI domains, navigating the full model lifecycle. Technical knowledge in high efficiency on device architectures, multimodal understanding, V&V of AI systems, or RAG is beneficial but not required.

Requirements

Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5+ years of experience in Technical Program Management or a related role within an advanced technical or research environment.
Proven experience partnering directly with research or engineering leads to deliver on high-impact, technically complex projects.
Comprehensive technical knowledge and understanding of program management methodologies adapted for research-centric environments.

Nice To Haves

Master’s or PhD degree in a technical field, particularly related to AI/machine learning.
Direct experience in AI/ML research or development
Strong analytical and problem-solving skills, with a demonstrated ability to understand complex technical systems and identify opportunities for optimization.
Passion for the future of AI and the ability to thrive in a dynamic, fast-paced environment where technology meets real-world impact.

Responsibilities

Program Strategy and Execution: Translate complex research and engineering efforts into execution plans and measurable goals, and actively drive delivery through sprints or equivalent methodologies.
Technical Due Diligence: Utilize advanced TPgM tools and processes, evaluate engineering scope, establish technical roadmaps, and influence technical direction.
Cross-Functional Leadership: Build and guide effective cross functional partnerships across diverse disciplines, including modeling, infrastructure, and evaluation, to ensure alignment on shared objectives.
Operational Excellence: Build and optimize scalable operational frameworks, establishing robust mechanisms to monitor program performance and anticipate technical risks while strategically reducing your personal operational load to allow it to scale.
Continuous Innovation: Proactively identify and implement opportunities to enhance research velocity and engineering excellence through optimized tools and methodologies.
Stakeholder Management: Distill complex technical updates and research progress into clear, actionable insights for diverse audiences and executive leadership.
Resource Optimization: Drive strategic planning for mission-critical resources, including compute management and allocation, to respond to a rapidly changing competitive landscape.