Technical Program Manager III, AI and Data Infrastructure, Google Ads

Technical Program Manager III, AI and Data Infrastructure, Google Ads

share

Share Technical Program Manager III, AI and Data Infrastructure, Google Ads

• linkCopy link
• emailEmail a friend

corporate_fareGoogleplaceMountain View, CA, USA

bar_chartMid

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply

share

Share Technical Program Manager III, AI and Data Infrastructure, Google Ads

• linkCopy link
• emailEmail a friend

Minimum qualifications:

• Bachelors degree in a technical field, or equivalent practical experience.

• 5 years of experience in program management.

• Experience in AI infrastructure.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with data infrastructure.
• Experience with ads or customer engagement.

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. Youre equally comfortable explaining your teams analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The AI and Data Infrastructure teams goal is to build, manage and improve the underlying systems used across Sales, Support, and Marketing Platforms within Customer Engagement (Google Ads). We enable and empower other teams to achieve more than would be possible without our infrastructure.

As a Technical Program Manager on the AI and Data Infrastructure (ADI) team, you will lead complex and exciting AI and Data Infra programs that impact Google Ads and many Google Product Areas. You will work with cross-functional team members from Product Management, Engineering, and UX/UXR to stay on the of AI and Data technology, execute on end-to-end programs from initiation to post-launch, and contribute to team roadmaps and strategy.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Own and drive the completion of interdependent programs across multiple teams/partnerships on behalf of the ADI team.

• Partner with key stakeholders across Ads and GBO to implement and tailor Google/Ads-wide strategic programs/initiatives to meet the unique needs and mission of the ADI team.

• Stay on the edge of AI and data across Google and the broader industry. Attend conferences (both internal and external) to gather knowledge and share learnings with the team.

• Identify, assess, and mitigate program risks and dependencies. Develop and execute effective escalation strategies to ensure swift resolution of roadblocks.

• Create comprehensive program charters, timelines and milestones, and contingency plans to ensure all programs goals are delivered on-time and within scope.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.