Program Manager II, Responsible AI, Cloud AI Systems
Job Summary
Job Description
- Bachelor's degree or equivalent experience
- 2+ years program/project management experience
- Experience with Trust & Safety or Public Policy teams
- Leading AI programs
- Work with engineering, product, and solutions teams
- Determine safety standards for enterprise products
- Lead structured safety testing for Cloud AI products
- Conduct quantitative/qualitative analysis of results
- 2+ years managing cross-functional projects
- Experience with risk management
- Experience with Generative AI or LLMs
- Developing AI-related products
- Experience in Responsible AI
- Bonus
- Equity
- Benefits
4 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience working with or working on Trust and Safety or Public Policy teams.
- Experience leading Artificial Intelligence programs.
Preferred qualifications:
- 2 years of experience managing cross-functional or cross-team projects.
- Experience with risk management at the project and organization levels.
- Experience with the domain area of Generative AI or Large Language Models.
- Experience developing AI related products.
- Experience in Responsible AI.
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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
As a Program Manager on the Cloud Responsible AI team, you will be focused on establishing standardized safety processes for enterprise AI products and conduct model safety evaluations. You will incorporate Google Responsible AI best practices and regulatory requirements into Cloud programming, and will support both internal Cloud product teams as well as external customers from all industries. You will leverage internal practices to drive the development of safety product roadmaps, balancing the need for innovation and progress with long-term sustainability.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, Machine Learning (ML), and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Responsibilities
- Work with engineering, product, and solutions teams to prioritize and deliver Responsible AI solutions.
- Determine safety standards for specific enterprise products, translating safety standards into clear guidelines for compliance reviews.
- Own and lead structured safety testing for Cloud’s AI products, including consultations for how to develop a scaled testing solution, getting access to the model/UI and performing tests, or defining and providing clear instructions to vendor teams.
- Conduct quantitative and qualitative analysis of results, including unexpected edge cases, providing clear insights to inform decision-making around pre- and post-launch mitigation steps.
- Provide Responsible AI launch assessments to guide product decision makers on potential harms to users.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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