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Technical Program Manager, Capacity and Constraint Intelligence

Google
Kirkland, USA
Manager · 8+ years experience
Onsite
USD 192000-278000 / year
Discovered 2 weeks ago
bigquerykafka

Full Job Posting

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.

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).

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