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Google DeepMind

Technical Program Manager, Agents Innovation - 12 Month FTC

Google DeepMind

Published 12 May 2026
London, UK
Full Time

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Role Highlights

Languages used

Key skills

AI
Machine Learning
Integrations
Stakeholder Management
Deployment
Research
pre-training
post-training
Infrastructure
Data

Tools, Libraries and Frameworks

Description

The role involves managing the lifecycle of agentic innovations from initial research through to production deployment. The individual will lead complex engineering workstreams and facilitate the integration of new capabilities into existing product ecosystems. Responsibilities include driving the development and adoption of evaluation benchmarks to validate model improvements. The position requires orchestrating cross-functional collaboration between technical experts and product teams to ensure advancements are effectively implemented. The focus remains on de-risking research initiatives and ensuring the successful transition of agentic technologies into production-ready models.

Required Qualifications and Skills

The role requires a minimum of eight years of experience leading complex technical programs within software development or research and development environments. Candidates must possess a deep understanding of the AI model development lifecycle, specifically regarding pre-training, post-training, and infrastructure constraints. Proficiency in managing engineering backlogs and navigating technical ambiguity is essential. Additionally, the position demands exceptional stakeholder management skills to build consensus within a matrixed organization.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google DeepMind

Size

2327

Founded

HQ

London, GB

Public/Private

Privately Held

Description

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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