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Senior Product Manager, Gemini Internationalization Modeling, DeepMind

Google

  • Mountain View, CA
  • 30+ days ago
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    Skills

    • Artificial Intelligence (AI)unmatched
    • Bridge Buildingunmatched
    • Civil Engineeringunmatched
    • Cross-Functionalunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Internationalizationunmatched
    • Maintain Complianceunmatched
    • Performance Analysisunmatched
    • Performance Modelingunmatched
    • Product Managementunmatched
    • Reinforcement Learningunmatched
    • Requirements Managementunmatched

    Description

    Minimum qualifications:

    • Bachelor's degree or equivalent practical experience.
    • 8 years of experience in product management or related technical role.
    • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

    Preferred qualifications:

    • 5 years of experience working cross-functionally with engineering, research, and other cross functional partners.
    • Experience with foundational models and LLMs.

    About the job

    As a Product Manager for Gemini Modeling for Internationalization, you will own the core modeling roadmap to make Gemini a global engine. You will bridge the gap between research in pre-training, post-training, and reinforcement learning (RL) and consumer needs. You will drive the quality, evaluations, and data requirements for all internationalization modeling efforts, bridging core modalities and key product surfaces. This includes establishing a brand-new, scalable cross-lingual transfer playbook, driving upcoming launches for global activations, and shaping the unified helpfulness for Internationalization model-level evaluations. You will be highly technical and investigative, working directly with research and engineering teams to push the limits of what global AI can achieve.

    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.

    We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
    Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

    Responsibilities

    • Define next-generation internationalization evaluation suites to assess global model performance across various modalities (agentic coding, multimodality). Build evaluations for linguistic/cultural relevance and helpfulness.
    • Re-envision cross-lingual transfer by moving from pre-training modifications to a repeatable post-training and reinforcement learning playbook. Automate scaling across major languages using synthetic and real-world data.
    • Optimize user experiences for specific regional markets by developing and iterating on localized prototypes. Ensure consistent language adherence across all consumer applications.
    • Drive model readiness for key global distribution launches for first-party and third-party products.
    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Numbers & Facts

    LocationMountain View, CA
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1998
    Websitehttps://goo.gle/4dbno6V

    Benefits

    Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

    About Company

    Build for everyone

    Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

    It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

    So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

    Benefits

    We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

    Learn more about Google’s benefits on this site featuring Googlers’ experience.

    How we Hire

    Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

    Learn more about our hiring process.

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