Technical Program Manager - Deployments

Bedrock RoboticsNew York City, NY
Hybrid

About The Position

Join the team bringing advanced autonomy to the built world. At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

Requirements

  • 5+ years experience in both technical program management and operations, or deployment roles
  • Proven ability to lead cross-functional programs across engineering and operations
  • Strong planning skills: timelines, dependencies, and risk management
  • Ability to translate technical systems into structured plans and clear documentation
  • Excellent communication and stakeholder management skills
  • Comfortable in fast-paced, ambiguous environments
  • Willingness to travel as needed to support onsite launches

Nice To Haves

  • Familiarity with AI-driven tools or workflow automation
  • Experience supporting new product or platform launches
  • Experience building scalable customer-facing documentation or training systems

Responsibilities

  • Build and own cross-functional deployment timelines and program rollup
  • Serve as program owner for deployment launches
  • Ensure launch readiness across engineering validation, operational readiness, and safety protocols
  • Identify risks, dependencies, and critical path items; drive resolution
  • Lead deployment reporting in program reviews, ensuring clear visibility into progress, blockers, and outcomes
  • Build and evolve a repeatable deployment playbook
  • Standardize processes and improve deployment framework using AI-driven workflows and tools
  • Manage complex and first-of-kind deployments
  • Provide additional coordination for high-complexity or early-stage programs
  • Ensure alignment between internal plans and field execution
  • Support onsite teams during critical launch phases as needed
  • Define how partners interact with and operate autonomous systems in real-world environments
  • Translate complex robotic systems into clear, practical, and scalable operating instructions
  • Continuously evolve operating manual based on field learnings, edge cases, and customer feedback
  • Enable consistent onboarding, training, and independent operation across partner sites
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