Technical Program Manager, Science Automation, DeepMind

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role, you will partner with technical business teams to differentiate Google Cloud to the customers. You will serve as the technical authority on integrating Generative Artificial Intelligence (AI) into enterprise environments, moving beyond simple chat interfaces to architecting secure and data-connected solutions. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend market knowledge and technical engagement to prove the value of the Google Cloud AI portfolio.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.

Qualifications

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience managing deep collaborations with external partners. Manage 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.