Technical Program Manager, Capacity and Constraint Intelligence

Technical Program ManagerA 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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits. Learn more about benefits at Google.Benefits for this role include: Health, dental, vision, life, disability insurance. Retirement Benefits: 401(k) with company match. Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment. Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance. Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks. Baby Bonding Leave: 18 weeks. Holidays: 13 paid days per year. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA; Atlanta, GA, USA.Minimum Qualifications:Bachelor's degree in a technical field, or equivalent practical experience.8 years of experience in technical program management, systems engineering, or software engineering management, with experience in shipping distributed systems or data platforms.Experience working with high-throughput data pipelines, real-time logging/processing infrastructure (e.g., Kafka, BigQuery, MapReduce), and API integrations.Experience managing system integrations and multi-quarter technical initiatives from concept to deployment across engineering organizations.Preferred Qualifications:8 years of experience managing cross-functional or cross-team projects.Familiarity with theory of constraints, queuing theory, or industrial engineering principles (e.g., measuring capacity utilization, backlog constraints, and operational productivity).Deep understanding of data center physical operations, supply chain logistics, capacity planning, or hardware systems.Demonstrate executive presence with the ability to confidently present technical trade-offs to Directors and VPs, resolving organizational friction with diplomacy and data.Exceptional ability to conceptualize complex end-to-end workflows and build the data/software glue to connect disparate systems (e.g., physical tech toil metrics, hardware diagnostics, and workforce schedules).Responsibilities:Co-author the technical and product roadmap to evolve the platform into a real-time, proactive execution oversight dashboard. Establish telemetry models that capture live operational data to show actual execution versus capacity in real time.Standardize operational frameworks and lead complex integrations across domains (e.g., logistics, supply chain) to seamlessly capture previously invisible workflows.Act as the primary technical interface for partners, ensuring foundational schemas align perfectly with downstream dependencies for total compliance.Deconstruct complex problems into executable phases. Execute a crawl, walk, run delivery model to match real-time telemetry with legacy systems.Advocate the program organization-wide by building deep engineering alignment. Mentor peers and introduce agile practices to drive rapid, incremental value.