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Product Manager, Responsible AI Infra
GoogleHaskell, TX, USA5+ years
Apply Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or a related technical role.
- 3 years of experience developing, launching, and maintaining AI or Large Language Model (LLM) based products.
- 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
Preferred qualifications:
- Master's degree in a technology or business related field.
- Experience with generative AI, LLMs, or data pipelines.
- Knowledge of AI policy, copyright law, or data privacy regulations.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
AI Data is the driving channel behind Google's rapid delivery of groundbreaking, impactful, and responsible AI. We make GenAI development simpler, faster, and more effective by addressing Responsible AI in GenAI development.
Our goal is to create user-friendly, trustworthy, and privacy-preserving data and metadata solutions for AI products. This will not only help Google meet the challenges of the fast-paced AI landscape but will also be crucial for achieving Google's company-wide Objectives and Key Results (OKRs) for significant advancements in artificial intelligence.
This role sits at the intersection of AI innovation, engineering, and policy and process. You will play a vital role in Google's GenAI launch velocity, unblocking key training datasets and researcher productivity while building the core data governance foundation that protects Google's products and users.
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: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Shape and develop core tools that enable the creation of responsible, safe, fair, and transparent AI, taking novel ideas from raw concepts all the way to developer adoption.
- Manage a broad range of technical areas, including risk classification tools and automated compliance pipelines, to translate complex policies into scalable software and address legal and compliance risks.
- Support technical, scaled processes for GenAI model training, tuning, evaluation, and launch configurations in order to unblock Google DeepMind (GDM) launches and enhance researcher productivity.
- Act as a master collaborator across organizational boundaries by presenting technical proposals to engineering teams, delivering risk assessments to cross-functional stakeholders, and securing execution backing from leadership.
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.