Snapshot

Support the analytical and operational frameworks that enable Leadership (SVP+) decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google’s broader AI strategy.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, 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

Key Responsibilities

• Investigative Modeling: Conduct rigorous, deep-dive investigations into Google’s hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making.
• Scenario Architecture: Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.
• SVP+ Content Support: Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.
• Cross-Functional Partnership: Act as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.
• Execution & Monitoring: Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals.
• Strategic Cataloging: Maintain a "living catalog" of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.

About You

You are a Product Manager who thrives in high-velocity, high-intensity environments where the stakes are massive and the pace is relentless. You are an execution-oriented IC who can quickly create "something out of nothing," iterate based on feedback from senior leaders, and move immediately to the next challenge.

This role is for you if:

• You demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams—pairing a 'big picture' perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.
• You are a master of execution—you don't just point at problems; you build the models (often joining together disparate data sources from multiple teams) and write the documents that solve them.
• You are an expert at synthesis, possessing the communication skills to distill complex "noise" into actionable "signal" for executive audiences, delivering elite-level work even under the most demanding deadlines.

Skills and Experience

• BA/BS degree or equivalent practical experience in a technical and/or business area.
• 5+ years of experience in product management, management consulting, or a high-growth corporate strategy role.
• Exceptional organizational talent and experience running high-velocity, high-impact programs.
• Strong analytical fluency: Deep experience in a role that deals with machine learning, compute infrastructure, or large-scale data modeling.
• Innovative problem solver who can turn ambiguous, messy problem spaces into clear, executable solutions.

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the technical capabilities of these models.
• A proven track record of "managing up" and supporting senior stakeholders in a complex, matrixed business environment.
• Experience in corporate planning or product operations within a major tech ecosystem.
• Ability to manage multiple, concurrent, highly complex workstreams with minimal friction.
• A "bias towards action" and a history of creative problem-solving in fast-paced settings.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity 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, maternity 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.

Application deadline: 13th Feb 2026

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.

Snapshot

This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google. The role sits within Google DeepMind’s Technology Strategy (TechStrat) function and is a leadership role within Techstrat’s Compute team. Since compute has become the key ingredient for AI model leadership, AI serving success and next generation AI research, this leader will drive high impact decisions that will define the success of Google, with implications on the future of AI for the world. 

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, 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.

The role

As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.

Key responsibilities

Personally drive and amplify impact through leading a team to  

• Investigate and drive clarity on some of Google’s hardest long range strategic questions in AI
• Create new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time
• Model scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google
• Create SVP+ forum content (presentations, communications, mandates)
• Help develop a per-mandate monitoring view to keep programs accountable 
• Collaborate with operational teams and forums in AI  to ensure that company-wide SVP+mandates are set up for success -- well organized, staffed and delivering on desired goals.
• Stay connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC
• Identify gaps in our processes and information and propose/implement solutions.

About you

Are you a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing? This is the job for you. In both cases, you must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:

• BA/BS degree in Computer Science/ EE or equivalent practical experience in a technical and/or business area
• 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives. 
• Exceptional organizational talent running high velocity, high impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage: 

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models 
• Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills.
• Excellent communication skills
• A proven track record of building positive relationships with senior
• stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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.

Application deadline: 13th Feb 2026

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.

Snapshot

This is a critical strategic role situated at the intersection of infrastructure, finance, and AI strategy within Google DeepMind’s Technology Strategy function. You will join the Technical Intelligence (TI) team with a dual mission: to analyse the "supply side" of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape. Your insights will directly inform Google’s strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, 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.

The role

You will serve as a vital intelligence node for the external AI ecosystem, acting as the expert on both the AI infrastructure market and competitor activity. You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players. You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.

Key responsibilities

• Market Strategy & Ecosystem Analysis: Deeply analyse the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds. Identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.
• Infrastructure & Resource Intelligence: Track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks (e.g., gigawatt-scale projects, chip supply). Estimate future training capabilities across the industry.
• Financial Modeling & Economics: Build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads. Analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.
• Strategic Reporting: Develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape. Translate complex technical, business, and supply chain signals into clear narratives for executive leadership.
• Investment & Partnership Support: Provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.

About you

In order to set you up for success at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in a quantitative or technical field (e.g., Finance, Economics, Engineering, Computer Science, Physics) or equivalent practical experience.
• 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.
• Experience in financial modeling and analysis, with the ability to estimate costs and unit economics of technical projects.
• Demonstrated ability to synthesise disparate data sources (technical papers, financial reports, news and proprietary data sources) into coherent strategic insights.
• Strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.

In addition, the following would be an advantage: 

• CFA, or Master's degree in a relevant field.
• Solid understanding of the AI hardware ecosystem (GPUs, TPUs, ASICs, data centers) and / or the Generative AI landscape (LLMs, key players).
• Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role on: AI cloud economics, AI infrastructure strategy, investment banking covering hardware/semiconductors, or technical product management in AI cloud computing.
• Direct experience working for an AI lab in a go-to-market role with solid understanding of competitive positioning, market trends and pricing considerations.
• Familiarity with the semiconductor supply chain (major chip designers and foundries) and its impact on cloud capacity.
• Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives.

We encourage applications from candidates with diverse backgrounds and experiences. If you have a strong analytical aptitude, a passion for understanding complex systems, and the ability to develop well-reasoned insights, even if your background doesn't perfectly align with the "traditional" qualifications, we encourage you to apply.

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.

Application deadline: 12pm GMT Thursday 30th March 2026 

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.