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.
Search is Google’s core information product, with the Search Intelligence (SI) group one of Search’s three core product area groups alongside platforms and Search verticals owning the quality and experience that define its trustworthiness. Our mission centers on pioneering user experiences and conversational journeys in GenAI through close collaboration with cross-functional partners. Within this high-impact space, Search AI Quality Technical Program Managers (TPgMs) act as strategic thought partners who define motivated engineering goals and drive the execution of quality programs for next generation AI experiences across Search.
As a Search AI Quality Technical Program Manager, you will be an owner driving planning and execution. Your cross-functional partners will look to you for strategic thought partnership with a holistic and unbiased point of view. You will work on the highest priority programs based on business needs across AI quality.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
The US base salary range for this full-time position is $192,000-$278,000 + 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.
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
- Lead high priority programs within Search AI Quality. Act as a strategic thought partner to engineering and product leadership, setting the program direction and reducing chaos in highly ambiguous environments.
- Drive deep collaboration and accountability across federated teams. Influence stakeholders across multiple organizations to align on outcomes that serve the best interests of Google.
- Apply strong technical judgment to navigate complex trade-offs, resolve stakeholder conflicts, and mitigate critical program risks. Facilitate effective decision-making to maintain program momentum.
- Partner across engineering and products to streamline operational processes, simplify execution, and manage Objectives and Key Results (OKRs) for the pillar.
- Drive continuous improvement, and introduce best practices for reproducibility and scalability in a dynamic environment. Adapt unique needs of the situation.
Qualifications
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- 5 years of experience in machine learning or AI work.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience working with highly technical engineering teams across multiple organizations.
- Experience with projects which involve a significant research and development component in addition to pure execution.
- Experience in software development, evaluation methodologies, or machine learned models.
- Experience working on quality evaluation focused programs.