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.
The AI Lab is an AI solutions accelerator and lighthouse for Google, helping marketers see the future and ensure progressive usage of AI. Our mission is to identify, incubate, and graduate substantive AI tools and operating models that benefit all of Google marketing.
As a Senior AI Transformation Program Manager, you will be a key part of setting the strategy, operating model, and execution plans for complex cross-functional programs that are critical to the AI-driven transformation of Google Marketing. You will partner closely with AI Lab project leads and be responsible for ensuring the AI Lab successfully partners with Core Engineering, Marketing Operations, and cross-functional teams (e.g., Legal, Risk, Finance, Strategy and Operations (S&O)) to prioritize work, align plans, deliver impact, and graduate AI Lab solutions out for scaled adoption across all program areas and regions. You grow in fast-paced, team environments and are comfortable pivoting between multiple projects. Problem-solving comes naturally, and your ability to build consensus and create clarity from ambiguity is key to your success.The US base salary range for this full-time position is $189,000-$274,000 + 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
- Drive execution of complex, global, cross-functional AI programs by defining project roadmaps, managing timelines, proactively identifying and removing roadblocks, and creating mitigation plans to ensure delivery and adoption.
- Own the launch plan for AI Lab solutions, including the management of project due-diligence and approvals with cross-functional partners like engineering, privacy, security, finance, legal, and compliance.
- Provide clear and consistent communication to key stakeholders, manage forums like Monthly Progress Reviews (MPRs) and Quarterly Business Reviews (QBRs) to showcase progress, report impact, and drive stakeholder alignment.
- Coordinate with program managers and project leads across work streams and functions to ensure integrated communications, action items, and workback plans.
- Translate the AI transformation goal and marketer needs into actionable program plans, ensuring alignment between business goals and technical execution while advocating the marketer.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in program management, product operations, or a related operational role.
- Experience with generative AI technologies, including Large Language Models (LLMs) and AI agents.
- Experience partnering with Product and Engineering teams to influence roadmaps and manage program execution.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience working within a Marketing function, with direct experience in Marketing Technology (MarTech), AdTech, or enterprise digital transformation.
- Experience implementing genAI tools, AI agents, or advanced automation strategies in an enterprise environment.
- Experience managing third-party vendor relationships and integrating external solutions into internal programs.