Product Manager, Autonomous Fleet Technology

Bedrock Robotics • San Francisco, CA

1d

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. We're seeking a stellar Product Manager to drive Fleet Technology—the tools, data, agents and processes that let our fleet grow without our operations breaking. Our fleet is scaling from a handful of machines today toward hundreds across multiple territories, at an increasing velocity. Provisioning, calibration, and service still run across a patchwork of disconnected tools and manual steps that worked at early scale and won't survive the next one. You'll own the roadmap that fixes this: a single source of truth for every machine, the field and monitoring apps our operators live in, and the automated workflows that keep deployment reliability high as the fleet multiplies. This is a hands-on, high-impact role for someone who thrives in early-stage environments and wants to build the durable systems that let a fast-growing company scale.

Requirements

• 8+ years in product management, ideally in operationally complex, physical-world environments—robotics, logistics, fleet, hardware, or industrial systems where software meets machines in the field.
• A track record of building internal tools and platforms that replaced manual processes and scaled a real operation, tied to measurable gains in reliability or throughput.
• Strong systems thinking: comfort designing around a single source of truth and event-driven workflows, and reasoning clearly about what breaks at 100x scale.
• Fluency with operational and reliability metrics—uptime, MTTR/MTBF, time-in-state, SLA design—and a data-driven approach to prioritization and cost tradeoffs.
• A demonstrated ability to be the neutral arbiter across competing stakeholders and still ship a coherent roadmap.
• A bias toward lightweight structures and durable processes that help a growing company scale through complexity, and the hands-on, low-ego, field-aware instincts to make them stick.

Nice To Haves

• hands-on experience scaling through agents
• familiarity with fleet management platforms (e.g., Fleetio)
• provisioning/MDM tooling
• modern issue tracking
• calibration and sensor-rich hardware pipelines

Responsibilities

• Own the Fleet Engineering roadmap; enabling the scaling of autonomous operations across Operations, Deployments, Commercial, Supply Chain, and Platform/Infra through one coherent, defensible plan.
• Enable Bedrock’s autonomous scope expansion through fleet generalization: streamline the end to end bring up of new autonomous machine models and excavator tools.
• Deliver the fleet tools & agents that move the needle: a real-time fleet readiness platform, a field app for provisioning, calibration, and acceptance testing, and the issue-routing agents that connect field operators to engineering and back.
• Drive the shift from manual, tribal-knowledge processes to authoritative data stores and event-driven automation—establishing one record per machine as the source of truth and automating the happy path so engineering is pulled in only for genuine exceptions.
• Define and instrument the metrics that matter—fleet readiness, time-in-state, MTTR, provisioning effort, parts-shortage lead time—and run the function off the data.
• Hold deployment reliability and partner SLAs as a first-class constraint while the fleet grows, partnering closely with Fleet Ops on staffing and reliability models.
• Own Voice-of-Customer for field technicians and operators—get on real job sites, understand the work before you spec tools for it, and turn what you learn into a roadmap.
• Operate with a relentless sense of ownership for the reliability and growth of the fleet you support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed