Director, Research Commercialization (AI Blackbelts)

Google LLC

  • Sunnyvale, CA
  • 3 days ago

    Highlights

    This specialized unit focuses on accelerating scientific discovery and R&D by bringing Google's frontier scientific models (e.g., AlphaFold, specialized LLMs for genomics, computational chemistry, and material science) to the world"s leading life sciences, healthcare, and industrial research organizations. Serving as a trusted technical and scientific advisor to Chief Science Officers (CSOs) and R&D leaders at our "Lighthouse" accounts, you will drive the co-engineering of platforms that accelerate drug discovery, molecular simulation, and advanced scientific modeling.

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    LocationSunnyvale, CA

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    Director, Research Commercialization (AI Blackbelts) - Google Careers

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    Director, Research Commercialization (AI Blackbelts)

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    Minimum qualifications:

    • 15 years of experience in a technical field bridging software engineering/AI and a scientific domain (e.g., computational biology, cheminformatics, physics).
    • 7 years of experience managing and scaling specialized engineering, research, or technical incubation teams.
    • Experience with modern machine learning and Generative AI applied to scientific data (e.g., Graph Neural Networks, protein folding models, molecular dynamics, genomics).

    Preferred qualifications:

    • PhD in Computational Biology, Chemistry, Physics, Bioinformatics, Artificial Intelligence, or a related quantitative field.
    • Experience operating in a "strategic AI co-engineering" or highly technical incubation environment, building with external customers.
    • Familiarity with the complex regulatory, security, and data governance requirements inherent in scientific and healthcare enterprise environments.
    • Proven track record of engaging with C-level executives (CSO, CIO, Head of R&D) and driving complex technical transformations in scientific or highly regulated industries (e.g., Pharma, Life Sciences).
    • Strong reputation in the scientific AI community, with published research in journals, patents, or contributions to open-source scientific computing projects.

    About the job

    The Google Cloud AI Blackbelt team is an external-facing incubation engine within the Applied AI Engineering (AAIE) organization. Our primary mission is to bridge the gap between Google"s cutting-edge frontier research (including DeepMind) and enterprise production reality.

    Within this organization, the AI for Science domain represents one of our most critical key bets. This specialized unit focuses on accelerating scientific discovery and R&D by bringing Google's frontier scientific models (e.g., AlphaFold, specialized LLMs for genomics, computational chemistry, and material science) to the world"s leading life sciences, healthcare, and industrial research organizations. We operate under a "strategic AI co-engineering" model, building complex scientific AI solutions directly alongside our customers" R&D and engineering teams.

    As the Director of AI for Science, you will lead a highly specialized, global team of AI researchers, computational scientists, and forward-looking software engineers. You will be responsible for defining and executing the technical go-to-market and incubation strategy for our scientific AI portfolio.

    You will act as the ultimate bridge between Google's scientific research breakthroughs and commercial enterprise application. Serving as a trusted technical and scientific advisor to Chief Science Officers (CSOs) and R&D leaders at our "Lighthouse" accounts, you will drive the co-engineering of platforms that accelerate drug discovery, molecular simulation, and advanced scientific modeling.

    Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Lead, scale, and mentor a specialized team of scientific AI co-engineers and researchers. Define the strategic roadmap for the AI for science incubation practice, aligning closely with DeepMind and Cloud Engineering.
    • Serve as the executive technical sponsor for major scientific and R&D accounts. Collaborate with customers to integrate frontier models into their proprietary R&D pipelines.
    • Act as the critical feedback loop between external scientific enterprises and Google"s internal research teams. Translate early-adopter friction in scientific use cases into actionable insights that inform the commercialization of our scientific AI portfolio.
    • Drive the technical incubation and adoption of scientific bets to achieve significant market validation and ARR milestones.
    • Oversee the creation of production-ready reference architectures, scientific AI "recipes," and best practices to enable the broader Google Cloud Go-To-Market teams in the life sciences and healthcare verticals.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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