Program Manager, Fleet and Data Operations

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.

The Role

The Program Manager, Fleet & Data Operations owns the execution layer between Bedrock’s engineering capabilities and the field reality of autonomous machine deployment. Reporting to the Head of Data & Fleet Operations, this role sits at the intersection of fleet upfit, third-party partner management, data pipeline reliability, and field operations driving the systems and relationships that let Bedrock scale from dozens of machines across 6 states today to hundreds across 15+ states in the next 12 months.

This is a field-forward program management role. You will be on job sites, in dealer shops, and at customer locations overseeing machine installs, commissioning autonomy kits, qualifying new vendor processes, and ensuring new technology and systems integrations land the way they were designed. You bring deep familiarity with the CAT dealer ecosystem or equivalent heavy equipment OEM/dealer networks, and you know how to operate both inside a large distribution partner and as a demanding customer of one.

Key Responsibilities

Fleet Scaling & Vendor / Partner Programs

• Own the scaling playbook for Bedrock’s Fleet & Data Operations from 6 active states to 15+ — including org structure, SLA design, and in-house vs. dealer/3P decisions.

• Develop and manage structured programs with CAT dealers, independent service providers, and technology partners across the East Coast and beyond, defining scope, performance standards, and accountability frameworks.

• Evaluate and onboard new vendors and distributor service arms; build the contractual and operational scaffolding (SLAs, rev-share structures, escalation paths) for sustained performance at scale.

• Serve as Bedrock’s primary operational point of contact for fleet partner relationships — including advanced technology groups at major CAT and OEM dealer networks.

• Translate lessons from dealer-ecosystem SLA and subscription service models into Bedrock’s upfit and maintenance operations.

Machine Installs & Field Supervision

• Provide field supervision for autonomy kit installations (upfit and de-kit) on customer CAT iron, ensuring every install is safe, repeatable, and fully reversible per Bedrock specification.

• Lead commissioning and acceptance processes at customer job sites coordinating Bedrock technicians, dealer service teams, and GC site personnel.

• Supervise and coordinate the rollout of new technology, tools, and process changes in the field; serve as the operational agent ensuring change lands correctly before scale-out.

• Drive new systems and software implementations into the field workflow including fleet management platforms, data collection tooling, and service management systems from pilot through full deployment.

• Troubleshoot and resolve escalations on machine uptime, data pipeline integrity, and install quality; own the loop back to engineering with structured field observations.

• Own and drive safety initiatives for the department to ensure technicians are safe and in alignment with Partner expectations and construction industry standards.

Data Reliability & Uptime Operations

• Guarantee terabyte-scale data collection per machine per day defining processes and partner accountabilities to ensure engineering’s evaluation engine never goes dark.

• Set and manage machine uptime and turnaround SLAs across a distributed fleet; design the operational model (staffing, parts logistics, escalation) to meet them as headcount and geography expand.

• Build and run the operating cadence (WBR/MBR/QBR) for fleet performance: define KPIs, own the dashboards, drive the