# Technical Program Manager, Frontier AI Research

**Company**: Google DeepMind
**Location**: Mountain View, California, US
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $163,000 - $237,000 + bonus + equity + benefits
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7556601
**Canonical**: https://yubhub.co/jobs/job_0119fcf6-354

## Description

## Job Title

Technical Program Manager, Frontier AI Research

## About Us

Google DeepMind is a technology company that develops artificial intelligence (AI) and machine learning (ML) systems.

## The Role

As a Technical Program Manager 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.

## Key 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.

## About You

- Minimum Qualifications:

- 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.

- Preferred Qualifications:

- 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.

## Salary

The US base salary range for this full-time position is between $163,000 - $237,000 + bonus + equity + benefits.

## Skills

### Required
- Technical Program Management
- AI
- Machine Learning
- Program Management Methodologies
- Research-Centric Environments
- Cross-Functional Leadership
- Operational Excellence
- Continuous Innovation
- Stakeholder Management
- Resource Optimization

### Nice to have
- Master’s or PhD degree in a technical field
- Direct experience in AI/ML research or development
- Strong analytical and problem-solving skills
- Passion for the future of AI