Product Manager, Fleet Engineering

Jobtailor; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor in San Francisco is seeking an experienced Product Manager to lead the Fleet Engineering roadmap, enabling autonomous operations across Operations, Deployments, Commercial, Supply Chain, and Platform/Infra.

You will translate field insights into tool development, build a single source of truth for every machine, and define metrics to drive reliability, uptime, and scale.

Qualifications

• 8+ years in product management in hardware-enabled, field operations.
• Track record of building internal tools that improve reliability or throughput.
• Strong systems thinking and single source of truth design.
• Fluency with uptime, MTTR/MTBF, SLA design, and data-driven prioritization.
• Ability to align competing stakeholders while shipping a coherent roadmap.
• Hands-on experience scaling with agents or fleet management platforms (bonus).

Responsibilities

• Own the fleet engineering roadmap across Operations, Deployments, and Platform/Infra.
• Scale autonomous operations by generalizing fleet models and tools.
• Deliver real-time fleet readiness platform and provisioning/calibration tooling.
• Automate data-centric processes with a single source of truth for each machine.
• Define metrics like uptime, MTTR, provisioning effort, and parts lead time.
• Collaborate with Fleet Ops on staffing and reliability models.
• Represent field technicians and operators to turn insights into a roadmap.
• Maintain ownership mindset for reliability and growth of the fleet.

Skills

Product management

Systems thinking

Metrics-driven

Stakeholder alignment

Field/operations experience

Robotics/fleet exposure

Tools

Fleetio

MDM tooling

Issue tracking tools

Job description

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.

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