Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.
As a Pillar Lead for the Data Intelligence organization, you will be a strategic leader responsible for a critical portfolio of production systems. You will lead and inspire a team of Technical Program Managers, driving complex, multi-disciplinary programs from inception to launch. In this AI-Native era, you will lead the shift from reactive manual coordination to continuous, AI-driven program intelligence.
This role requires technical expertise, exceptional leadership, complex systems thinking, and the ability to influence stakeholders at different levels. You will partner closely with senior leadership in Engineering, Product, and Customers to frame ambiguous problems, set up information systems and lightweight processes that enable streamlined delivery across a complex portfolio of infrastructure products.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead and inspire a high-performing team of Technical Program Managers, fostering a culture of technical excellence, continuous learning, and AI fluency.
- Drive the strategic outlook and roadmap for Data Intelligence programs by framing ambiguous problems, identifying systemic constraints, and translating them into clear organizational outcomes.
- Manage dependencies and risks across multiple organizations by deploying continuous, AI-driven program intelligence.
- Serve as a key thought partner to senior leadership, including VPs, Directors, and Product and Engineering leads, exercising high-judgment technical leadership to influence decisions, resolve trade-offs, and drive alignment on OKRs.
- Leverage the power of AI to transform the technical program management discipline itself, developing new methodologies and tools that enhance efficiency, predictability, and impact for your team and our partners.
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 7 years of experience in leadership role(s) with/without direct reports.
- Experience using statistical analysis and data analytics to solve product or operational problems.
- Experience driving initiatives and operational improvements to meet business objectives.
Preferred qualifications:
- 10 years of experience managing cross-functional/team projects.
- Experience with agentic workflow automation, evaluating AI vs. deterministic technical trade-offs, and critically assessing AI-generated outputs.
- Experience challenging the status quo and transitioning organizations away from manual tracking toward automated, outcome-driven execution structures.
- Ability to independently establish program goals, organize complex work, and build alignment across large, complex organizations without relying on formal authority.