Technical Program Manager III, AI/ML Evaluations, Search

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in AI/ML evaluation methodologies, data quality, and process improvement.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in Machine Learning.

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.

The Eval Quality and Emerging Needs (EQEN) team plays a crucial role in ensuring the trustworthiness and agility of our evaluation capabilities. This function is responsible for maintaining and enhancing the quality, reliability, and efficiency of all current human and automated evaluation processes by defining standards, developing guidelines, and implementing robust quality monitoring. Simultaneously, the EQEN team proactively identifies, scopes, and develops solutions for new and emerging evaluation requirements driven by product innovation and evolving organizational needs. Acting as an incubator, the team designs and pilots novel evaluation methodologies and frameworks, ensuring the organization is equipped to assess new technologies and product experiences. Through cross-functional collaboration, the EQEN team enables data-driven decision-making by providing high-integrity evaluation data and a clear pathway to support future evaluation demands.

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.

Responsibilities:

• Engage with product, engineering, and research teams to identify and understand new and future evaluation requirements.
• Design, prototype, and pilot new evaluation methodologies, frameworks, and tooling to address unmet needs.
• Manage the end-to-end delivery of evaluations for eval and emerging use cases and product areas (e.g., Multimodal, Personalization).
• Communicate effectively with cross-functional stakeholders on evaluation quality, progress on emerging needs, and potential risks.
• Develop and maintain dashboards and reports to track key metrics related to quality, throughput, and the impact of the team's work.