Director, Engineering, Developer Tools, Cloud AI

Google LLC

  • Sunnyvale, CA
  • 5 days ago

    Highlights

    We not only provide customers with state-of-the-art ML models, such as Gemini, but also full ML model building/serving toolsets (i.e., MLOps) and management workflows to enable customers to turn ideas into high-quality production AI solutions across verticals on Google's industry leading infrastructure. Build cross-functional partnerships, and work closely with developers and product owners to identify productivity, production quality, coverage issues, and provide insight on improving both through scale and tooling.

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    LocationSunnyvale, CA

    Description

    Director, Engineering, Developer Tools, Cloud AI - Google Careers

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    Minimum qualifications:

    • Bachelor's degree in Computer Science or equivalent practical experience.
    • 15 years of professional experience in software engineering.
    • Experience in developer productivity, developer tooling, or infrastructure functions.
    • Experience with AI and machine learning technologies.

    Preferred qualifications:

    • Master"s degree or PhD in Computer Science.
    • 20 years of professional experience in software engineering.
    • Strong understanding of Agile methodologies, software development lifecycle, and experience driving engineering excellence through rigorous testing, monitoring, and continuous improvement.
    • Ability to understand the technical and operational challenges that engineers face within large organizations.
    • Exceptional communication and presentation skills to effectively communicate complex technical concepts and work with senior stakeholders across different departments.
    • Demonstrated commitment to continuous improvement of development practices and processes.

    About the job

    Within the Cloud AI organization, we focus on building highly differentiated, highly scalable, and easy-to-use machine learning products and services that enable our customers to transform their business with AI. Products such as Vertex AI and Vertex AI Search comprise a portfolio that spans the needs of Data Scientists, Developers, and overall Infrastructure. We not only provide customers with state-of-the-art ML models, such as Gemini, but also full ML model building/serving toolsets (i.e., MLOps) and management workflows to enable customers to turn ideas into high-quality production AI solutions across verticals on Google's industry leading infrastructure.

    As rhe Developer Productivity Lead you will be responsible for improving engineering efficiency and accelerating workflows within the Cloud AI organization. You will manage a small team of engineers to help identify and remove operational obstacles to help focus on execution, identifying workflow patterns, and implementing internal solutions to optimize development speed. You"ll work closely with VPs, Directors and leaders across the engineering productivity functions at Google.

    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 - $428000 (USD) + 30% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Manage the team to navigate deep technical problem spaces in Cloud AI.
    • Manage a small team of developer productivity engineers.
    • Build cross-functional partnerships, and work closely with developers and product owners to identify productivity, production quality, coverage issues, and provide insight on improving both through scale and tooling.

    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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