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求人Google DeepMind

Senior Staff Technical Program Manager, Personal Intelligence

Google DeepMind

Senior Staff Technical Program Manager, Personal Intelligence

Google DeepMind

Mountain View, California, US

·

On-site

·

Full-time

·

Today

Snapshot

The Technical Program Management team shapes and accelerates the delivery of Google Deep Mind’s highest priorities. We bring focus to optimize program delivery, ensuring all efforts converge on achieving our most critical goals. Our cross-functional expertise bridges program and organizational silos, connecting the dots to uncover valuable insights that influence strategic decision-making and drive groundbreaking technical progress at pace.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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 a Senior Technical Program Manager focused on Gemini’s personalization efforts, you will define the strategic vision and orchestrate the execution of our most ambitious personal intelligence capabilities. You will act as a central leader, coordinating across vast cross-functional domains to drive cutting-edge model capabilities from research to global production.

Key Responsibilities:

  • Strategic Leadership: Architect, scope, and lead complex technical programs for model development at an organizational level, defining best practices for delivering frontier research to production.
  • Organizational Alignment: Direct and align vast cross-functional organizations working on personal intelligence to advance the state-of-the-art research in this domain. Act as a trusted advisor to senior executive leadership.
  • Risk & Strategy Management: Proactively identify and resolve systemic risks, dependencies, and changing circumstances across multiple product surfaces, implementing scalable, long-term solutions.
  • Technical Problem Solving: Apply deep technical intuition to identify and execute pragmatic solutions, directly unblocking novel modeling techniques and resolving high-level technical architecture disputes.
  • Process Excellence: Define program management methodologies and governance models for the broader organization, driving operational excellence across multiple teams and product areas.

About You

In order to set you up for success as a Technical Program Manager at Google Deep Mind, we look for the following skills and experience:

  • Experience:

12+ years of experience leading organizational-level technical programs, with a strong track record of successful program delivery at massive scale.

  • Technical Foundation:

Expert-level technical background, with deep AI knowledge and extensive experience in the development of foundational models and their integration into global products.

  • Communication & Collaboration: Exceptional executive presence and stakeholder management skills, paired with meticulous organization and attention to detail. You excel at building trust, navigating complex organizational dynamics, and synthesizing highly complex technical strategies to act as a trusted advisor to executive leadership.
  • Leadership & Ownership: Exceptional leadership capabilities, with a proven ability to take full ownership of sweeping organizational initiatives, drive cross-PA alignment, and overhaul governance models across vast engineering and research teams.
  • Adaptability: Proven ability to navigate highly ambiguous, ever-evolving environments, demonstrating leadership and resourcefulness in resolving systemic challenges.
  • AI Passion & Practical Application: Passionate about AGI and deeply curious about emerging technologies. You are a hands-on practitioner who actively utilizes the latest AI tools, agents, and coding assistants to accelerate workflows and drive operational excellence.

The US base salary range for this full-time position is between 240,000 USD - 334,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 30th, 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

At Google Deep Mind, 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, 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

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Google DeepMindについて

Google DeepMind

DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.

1,001-5,000

従業員数

London

本社所在地

レビュー

3.8

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.5

キャリア

4.0

経営陣

2.8

68%

友人に勧める

良い点

Smart and brilliant colleagues

Good compensation and benefits

Work flexibility and remote options

改善点

Poor management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and goals

面接体験

5件の面接

難易度

3.0

/ 5

期間

21-35週間

内定率

60%

体験

ポジティブ 60%

普通 40%

ネガティブ 0%

面接プロセス

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Team Matching Interview

5

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Research Experience

System Design