Technical Program Manager II, AI/ML, Google Ads
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Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience managing ML or LLM model development programs.
- Experience working with AI algorithms.
Preferred qualifications:
- 2 years of experience managing cross-functional or cross-team projects.
- Experience with managing execution of technical programs for the online advertising industry or related industry.
- Experience with data analytics.
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.
As a Technical Program Manager (T/PgM), your investigative skills and Large Language Model (LLM) experience manage our programs. You will work alongside an outstanding team of Engineers, Product Managers, and Data Scientists, you have a generation-defining opportunity to re-imagine the future of digital advertising. You will leverage the latest Gemini models and ultra-efficient serving architectures, you will address immense technical complexity behind the scenes making the entire process completely seamless, invisible, and automatic for millions of businesses worldwide.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $138,000-$198,000 + 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
- Define, scope, and manage LLM guide projects, ensuring timely delivery and strict adherence to scope. Build highly detailed project plans, track progress, and orchestrate seamless execution.
- Engage deeply in technical design and implementation discussions. Understand the intricacies of Gemini models, serving architectures, and quality evaluation requirements.
- Guide the development of highly efficient evaluation frameworks. Drive initiatives to optimize human evaluation pipelines and advance LLM as a rater methodologies, ensuring our models meet exceptionally high quality bars at scale.
- Partner with leadership and product managers to define the long-term goal and Objectives and Key Results (OKRs) for our initiatives.
- Bridge the gap between engineering complexities and business needs. Translate complex business goals into actionable, multi-quarter technical roadmaps.
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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.
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