Full-Time

Tech Strategy Director

Compute, Google Deepmind

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

No salary listed

Mountain View, CA, USA

In Person

Bachelor's

Category
Business & Strategy (1)

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Requirements
  • BA/BS degree in Computer Science or Electrical Engineering 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
Responsibilities
  • 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.
Desired Qualifications
  • 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 Product Area 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

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

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Simplify Jobs

Simplify's Take

What believers are saying

  • Google DeepMind shipped Gemini 3.5 Flash and Omni Flash in May 2026.
  • July 2026 brought $40M Genesis Mission credits, A24 partnership, and UK housing pilots.
  • Gemini 3 Deep Think opened to researchers and enterprises through the API in February 2026.

What critics are saying

  • Reuters on 2026-08-05 said Demis Hassabis lost day-to-day control after leadership turmoil.
  • Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le left for Discovery Loop.
  • Anthropic and OpenAI keep poaching DeepMind stars, threatening Gemini 3.5 momentum by 2027.

What makes DeepMind unique

  • DeepMind pairs frontier models with Google Search, Android, Workspace, and Cloud distribution.
  • Gemini 3.5 and Omni unify agentic reasoning, code, and multimodal generation.
  • AlphaFold and Gemini for Science keep translating research breakthroughs into real enterprise workflows.

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Benefits

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