Product Manager, Autonomous Fleet Technology

Bedrock Robotics

$120K — $160K *
Manufacturing & Automotive
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in product management within operationally complex environments such as robotics, logistics, or hardware systems.
  • Proven experience building internal tools that improved operational reliability or throughput.
  • Strong systems thinking, particularly around establishing a single source of truth and scalable workflows.
  • Fluency with key operational metrics, including uptime and SLA design, with a data-driven mindset.
  • Ability to mediate between stakeholders while delivering a coherent roadmap for product development.
  • Preference for lightweight structures that facilitate scaling, with a hands-on approach to field awareness.
  • Bonus: Experience with fleet management platforms and tools related to provisioning and calibration.

Responsibilities

  • Own the Fleet Engineering roadmap to support scaling of autonomous operations across various functional areas.
  • Streamline the introduction of new autonomous machine models and tools for operational efficiency.
  • Develop real-time fleet readiness tools and field applications for seamless operations.
  • Transition from manual processes to data-driven automation, establishing authoritative data stores for fleet management.
  • Define key performance metrics and manage operations based on actionable data insights.
  • Maintain deployment reliability while scaling the fleet and collaborate with operational teams on staffing models.
  • Engage with field technicians to gather insights that inform tool specifications and roadmap direction.

Benefits

  • Flexible work arrangements to accommodate various locations and individual needs.
  • Encouragement to apply even if not all qualifications are fully met, promoting inclusivity in hiring.
Full Job Description
We9re 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 won9t survive the next one. You9ll 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.

What You9ll Do:

  • 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 Bedrock9s 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 You9ll Bring:

  • 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.

Our roles are often flexible. If you don9t fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We9d love to consider you.

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