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 corrective actions. • Partner with Engineering and Product to translate uptime and data quality requirements into field-executable standards and partner contracts. Distributed Workforce & Org Design • Manage a distributed team of mobile fleet technicians across the East Coast deployment footprint, with accountability for hiring bar, onboarding rigor, and field performance standards. • Design the team structure, routing, and dispatch model to balance machine uptime response against the economics of a field workforce spread across multiple states and job sites. • Partner with Commercial on customer-facing commitments; translate GC and hyperscaler expectations into operational requirements the fleet team can execute reliably with Partners. • Mentor and develop field team leads & supervisors; build the management layer that keeps performance consistent as the team grows. Qualifications Required • 7+ years of program or operations management experience in construction technology, heavy equipment, or advanced technology deployment in the field. • Direct experience working within or alongside a CAT, Komatsu, John Deere, or equivalent OEM dealer network with a strong grasp of dealer economics, service model structures, and OEM/dealer sensitivities around third-party technology. • Demonstrated track record managing distributed field workforces commissioning, service, or install crews across multiple states or regions. • Hands-on experience with technology installations on heavy construction equipment (grade control, autonomy kits, machine control, telematics, or comparable systems). • Comfort operating in an early-stage, fast-moving environment where the playbook is being written in real time and changing frequently; ability to create process, not just follow it. • Strong communicator and operator who can hold SLA accountability with external partners while collaborating effectively with internal Engineering, Product, and Commercial teams. • Ability and willingness to travel approximately 50% of the time to customer job sites, dealer facilities, and regional deployment locations across the East Coast and beyond. Preferred • Experience in an Advanced Technology Group (ATG) or construction technology P&L within a major CAT dealer, OEM, or heavy equipment distributor. • Background in autonomy, machine control, or connected fleet solutions • Familiarity with fleet data systems telematics platforms, data pipeline tooling, or IoT-adjacent infrastructure for heavy assets. • Experience structuring and executing in-house vs. 3P build decisions for field service operations at scale. • Prior experience with hyperscaler or large GC customer relationships in a technical operations or account role. • Understanding of machine lifecycle economics: upfit → operate → de-kit → redeploy, including reversibility requirements and customer asset protection. Why Bedrock • Ground-floor role shaping how a category-defining company scales its fleet operations globally. • Work at the convergence of autonomous systems, heavy construction, and enterprise data infrastructure a category that does not yet have an established playbook. • High ownership, high visibility direct exposure to leadership and cross-functional partners across Engineering, Product, and Commercial. • Competitive compensation, equity, and benefits commensurate with a Series B-stage deep-tech company. • Travel support and flexibility for a role that is genuinely field-forward.   Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.