Technical Program Manager, Science Automation, DeepMind

Corporate fare: DeepMind, London, UK

Qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• 5 years of experience managing cross-functional or cross-team projects.
• Experience managing deep collaborations with external partners and managing external vendors.
• Experience in robotics, automation, materials labs/wet labs or systems engineering.
• Strong technical background with an understanding of AI in the context of lab automation and lab in the loop research.
• Ability to influence cross-functional teams (e.g., engineering, computational biology, product) and distill complex technical concepts for executive leadership.
• Demonstrated ability to improve processes, workflows, and governance to enhance research efficiency.
• Strategic mindset to manage high-stakes external products and partnerships while maintaining the pace of research progress.

About the job:

At DeepMind, we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind’s Science and Strategic Initiatives Unit, focusing on Science Automation, particularly in lab automation within material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams, and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be opportunities to work on projects and processes spanning across the science and strategic initiatives unit.

Responsibilities:

• Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals.
• Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with clear milestones and deliverables.
• Translate research outcomes into impact (commercial, societal, reputational) like products, demos, or partnerships by working with leadership and partners.
• Anticipate solutions to issues and risks, track progress, manage technical documentation, and proactively identify requirements like technical dependencies.
• Coach individuals and lead engagement across the team by building relationships, improving ways of working, and inspiring them to achieve their full potential.

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.

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.