This is a 12-month fixed-term contract.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management, product management, or related technical roles.
Preferred qualifications:
- Experience in program management, including managing cross-functional projects, tracking timelines, and coordinating stakeholders.
- Experience managing complex, large-scale programs from initiation to delivery.
- Experience leading cross-functional program management initiatives across multiple teams or organizations.
About the job
This role is open to DeepMind employees as a secondment opportunity and will not impact your status as a full time employee. Your level and ladder will not change for the duration of the secondment.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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.
Responsibilities
- Design operational frameworks, managing researcher onboarding logistics, external partner access, legal contracts, playbooks for recurring academic programs, and inbound collaboration triage.
- Act as a thought partner by establishing business cases and triage processes, defining project success metrics, and building cross-functional teams for prioritized goals.
- Drive operational relationships with key partners, formalize academic agreements with institutions, manage Google.org initiatives, and lead high-profile research conferences.
- Architect internal and external insights-sharing strategies, maintain visibility of the lab’s mission via internal sites, and collaborate with PR on publication cadences and content calendars.
- Translate complex research needs into technical requirements, partnering with technical program managers, engineering, and data teams to oversee tooling adoption, data migrations, quality standards, and application testing.