Technical Strategy & Operations Lead

Posted 5 Days Ago
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Mountain View, CA
In-Office
183K-271K
Expert/Leader
Artificial Intelligence
The Role
Lead strategic and operational initiatives for the AI Platform team, managing projects, resources, and cross-functional collaborations to achieve organizational goals.
Summary Generated by Built In

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts, program managers, product managers 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.

About the role: We are looking for a Technical Strategy and Operations lead for the AI Platform (AIP) team. To succeed in this role, one must be capable of independently diving into technical projects while also skillfully handling day-to-day operations, thereby enabling AIP to accomplish its mission. This is a senior individual contributor role, where projects will include a range of different problems to solve and projects to work on.

Responsibilities:

  • Driving the cadence of the business including key communications and reporting, across all levels of the organization i.e. reporting, OKRs, quarterly and annual planning, team comms and decision-making.
  • Oversight of our overall annual spend and working on efforts to drive efficiency, as well as ensuring our spend is going to highest priority capability areas to continue to advance our model, partnering directly varying teams. 
  • Work on special projects as needed.
  • Partnering with the cross functionally and with leadership to develop and evolve strategy and goals in a coordinated way. 
  • Influence cross-functional partners and stakeholders without direct authority, leveraging strong relationships and a proven track record of thoughtful execution to drive alignment and collaboration across teams.
  • Enable decision making across executive and senior leadership and all levels of the org, foreseeing the pushback, challenges and providing data and tradeoffs for your stakeholders.
  • Lead and own critical strategic projects, taking primary responsibility for driving problem definition, and guiding the overall project direction from inception to completion.
  • Operate with a high degree of independence, skillfully managing your own time and priorities to deliver outcomes for clearly scoped work within complex, fast-paced environments.
  • Act as a proactive thought partner within the team, identifying core issues, contributing to solution development, and providing guidance to peers navigating strategic and operational challenges.
  • Actively contribute to enhancing team culture and operational best practices, helping to make Google a better place to work through community contributions and continuous improvement.

Minimum Qualifications:

  • Bachelor’s degree  or equivalent practical experience, leading strategic and operational initiatives for a large organization.
  • 15 years of professional experience including 10 years in a similar role and/or in Management Consulting, Product Management, Engineering, or Operations of a product development team. 

Preferred Qualifications:

  • ML experience
  • 15+ years of strong project management experience, problem solving and analytical skills, combined with strong business judgment and communication skills. 
  • Demonstrated track record of cross-functional senior stakeholder management and leadership through influence.
  • Ability to influence without authority, working on and with technical and cross-functional or highly matrixed teams who do not report into this role to get things done.
  • Demonstrated ability to work in a highly collaborative environment with heavy emphasis on teamwork.
  • Exceptional communication skills with the ability to represent complex business or technical concepts with senior leadership.

The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm PST Friday 23rd October 2025

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.





Top Skills

Artificial Intelligence
Machine Learning
Project Management
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The Company
1,218 Employees
Year Founded: 2010

What We Do

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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