Technical Program Manager, Capacity and Constraint Intelligence

Job description

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).