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ManagerFull-timeAI
Salary Range
$176,800 - $239,200 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a dynamic Technical Program Manager to help build Bedrock’s platform from the ground up, driving cross-functional programs across hardware, onboard infrastructure, and safety.
Key Responsibilities
- →Own complex, cross-functional technical programs, taking autonomous systems from early prototypes through production-ready deployment.
- →Manage execution across software, hardware, firmware, safety, and field operations, aligning deeply interdependent workstreams into a single, coherent plan.
- →Lead system-level integration and milestone planning, ensuring firmware, drivers, hardware bring-up, vehicle builds, and field deployments come together predictably and on time.
- →Facilitate high-stakes technical decision-making, helping teams navigate tradeoffs, resolve ambiguity, and move forward with clarity and urgency.
- →Anticipate and mitigate program and technical risk at the platform level, surfacing issues early and providing leadership with clear options and recommendations.
- →Balance tactical implementation with strategic execution, shaping roadmaps and dependencies while adapting quickly to a fast-moving environment.
- →Define and evolve lightweight program management practices that scale with the company and enable teams to move faster without compromising safety or quality.
- →Operate with a relentless sense of ownership for the success of programs you work on.
Requirements
- ✓7+ years of experience as a Technical Program Manager or in a comparable technical leadership role, with a demonstrated ability to deliver complex, multi-disciplinary systems from concept through deployment.
- ✓2+ years of professional experience leading programs involving safety-critical systems, with an understanding of the rigor, validation, and cross-functional coordination required to operate reliably in the physical world.
- ✓Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- ✓Domain experience working on robotics or autonomous systems, with a working understanding of the software, firmware, and hardware stacks that power real-world autonomy.
- ✓Proven ability to communicate complex technical concepts, risks, and interdependencies and translate them into aligned and actionable plans.
- ✓A track record of thriving in fast-paced, high-ownership environments, with startup experience strongly preferred and a bias toward building structure that helps us scale through complexity.
