Technical Program Manager, Data Products

Bedrock Robotics•San Francisco, CA

About The Position

Bedrock Robotics is seeking a highly experienced Technical Program Manager to lead critical initiatives, including Data Products. The role bridges Engineering, Commercial, and Operations and partners closely with engineering teams to deliver the next generation of autonomous-capable construction machinery. It is a hands-on, high-impact position in an early-stage, fast-growing company, with the opportunity to shape durable processes that support scale while maintaining safety and quality.

Requirements

  • 7+ years of experience as a Technical Program Manager or in a comparable technical leadership role.
  • Proven ability to deliver complex, multidisciplinary systems involving cloud infrastructure, software applications, and physical deployments.
  • Domain experience in evaluation and robotics, including familiarity with ML/simulation loops, data storage, or security protocols supporting autonomous systems.
  • 2+ years of professional experience leading programs involving safety-critical or high-reliability systems, with an understanding of the rigor and validation required for systems operating in the physical world.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Ability to thrive in fast-paced, high-ownership environments and build lightweight structures and durable processes to help a growing company scale through complexity.

Responsibilities

  • Anticipate and mitigate program and technical risks, raise issues early, and give leadership clear options and recommendations.
  • Balance tactical implementation with strategic execution by shaping roadmaps and dependencies and adapting to a fast-moving environment.
  • Define and evolve lightweight program-management practices that scale and help teams move faster without compromising safety or quality.
  • Turn complex technical interdependencies, from cloud infrastructure to field operations, into aligned, actionable program plans.
  • Facilitate high-stakes technical decision-making and help teams navigate tradeoffs across engineering and operations workstreams.
  • Take ownership of the success of assigned programs.
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