Technical Program Manager, Research to Production, Agent Systems, DeepMind

Google LLC; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Google DeepMind in London seeks a Technical Program Manager to lead cross-functional efforts taking agent technologies from research into production. You will coordinate researchers and engineers, define requirements, and manage timelines for end-to-end delivery.

You will drive readiness, benchmarking, and product handovers to ensure scalable, reliable deployment of agent capabilities in flagship Google products. A strong background in GenAI, AI/ML, and stakeholder management is required.

Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in technical program management.
• 5 years of experience across all phases of a product development from prototype to mass production to end of life.
• 5 years of experience in software development life-cycle and stakeholder management.
• 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLMs.

Responsibilities

• Own the path from research prototype to production for agent capabilities, from first engagement with the research team through to adoption in a product.
• Partner with researchers, research engineers, technical and program leads to understand what they are building and translate this into a prioritized backlog with clear owners, deliverables and timelines.
• Set the goals for the agent harness quality improvement workstream, then run its day to day execution, triage, stand-ups, status and escalation. Drive improvement through benchmarking and hillclimbing on metrics customers care about.
• Drive production readiness for each effort, load testing, capacity planning, quota, and the right deployment and sandbox environment with the serving team and manage handover into the receiving product team.

Skills

Technical program management

Stakeholder management

Product development lifecycle

GenAI/AI/ML

Software development lifecycle

Education

Bachelor's degree in a technical field

Job description

Technical Program Manager, Research to Production, Agent Systems, DeepMind

Share Technical Program Manager, Research to Production, Agent Systems, DeepMind

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• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in technical program management.
• 5 years of experience across all phases of a product development from prototype to mass production to end of life.
• 5 years of experience in software development life-cycle and stakeholder management.
• 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLM's.

Preferred qualifications:

• Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience.
• 5 years of experience managing cross-functional or cross-team projects.
• 2 years of experience in software development or engineering.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

This role is on the DeepMind team that takes new agent technology from research into production. We are the team responsible for the production agent harness that powers agent experiences across Google, our customers include flagship products such as Search, Workspace and Gemini Spark.

In this role, you will own the path from research into production for agent capabilities, and work with the research engineers focused on improving the harness quality, to better align it with our customer needs via systematic benchmarking and hillclimbing on metrics that our customers care about. You will be responsible for driving the work that improves the quality of the fundamental technology that our product teams depend on.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Own the path from research prototype to production for agent capabilities, from first engagement with the research team through to adoption in a product.
• Partner with researchers, research engineers, technical and program leads to understand what they are building and translate this into a prioritized backlog with clear owners, deliverables and timelines.
• Set the goals for the agent harness quality improvement workstream, then run its day to day execution, triage, stand-ups, status and escalation. Drive improvement through benchmarking and hillclimbing on metrics customers care about.
• Drive production readiness for each effort, load testing, capacity planning, quota, and the right deployment and sandbox environment with the serving team and manage handover into the receiving product team.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.