Technical Program Manager, Capacity and Constraint Intelligence

About the role

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.

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.

Requirements

• 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.

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).

Skills

• Technical expertise in technical program management, systems engineering, or software engineering management.
• Experience in shipping distributed systems or data platforms.
• Experience 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.
• Experience in 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.
• Executive presence and ability to 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).

Benefits

• Health, dental, vision, life, disability insurance.
• Retailer 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.

Pay

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Schedule

Not specified