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Technical Program Manager II, Generative AI, Google Workspace

Google

Google

Software Engineering, IT, Operations, Data Science
New York, NY, USA
Posted on Dec 2, 2024

Technical Program Manager II, Generative AI, Google Workspace

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GoogleNew York, NY, USA; Boulder, CO, USA; +3 more; +2 more
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The application window will be open until at least November 19, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Boulder, CO, USA; Seattle, WA, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience leading the execution of Generative AI programs, launching AI products, or leading the development of AI models.

Preferred qualifications:

  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience with scripting.
  • Experience launching features to consumers or enterprises through frontend software development or backend platform development.
  • Experience working directly with Enterprise customers.
  • Experience managing and driving engineering projects.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

Through collaboration with teams across Google, you will lead efforts in bringing AI features to Workspace products and owning the end-to-end feature development for horizontal AI features. This includes partnering with teams focused on front end experience, safety of our users, extensions, integrations, and more!

The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience -- and changing the way they think about computing.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Drive generative AI quality changes.
  • Apply understandings of the complexities within building AI powered features for new and scaled products.
  • Communicate launches for GenAI infrastructure modifications.
  • Solve evaluation process challenges between a range of stakeholders and teams.
  • Build reporting and analytics for critical evaluation infrastructure on model and release cycles in GenAI.

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.