Senior Product Manager - Sensor Software Platform

Bridger Photonics

$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of product management experience in tech companies
  • Experience building and scaling IoT or edge-connected systems
  • Strong technical understanding of system architecture and data flows
  • Proven success with software deployment in low-connectivity environments
  • Ability to manage complex product roadmaps from start to finish
  • History of delivering projects under pressure and ambiguity
  • Strong communication and leadership skills

Responsibilities

  • Own product strategy and roadmap for sensor platform components
  • Drive development of IoT-enabled edge-to-cloud systems
  • Translate field requirements into scalable product solutions
  • Collaborate closely with engineering on system tradeoffs
  • Define data flow from edge systems to processing pipelines
  • Prioritize competing initiatives balancing short and long-term goals
  • Ensure successful product execution through cross-functional collaboration

Benefits

  • Opportunity to work with cutting-edge technology
  • Hands-on role at the intersection of hardware and software
  • Critical involvement in scaling drone-based deployments
  • High degree of ownership impacting product outcomes
  • Cross-functional collaboration with diverse teams
Full Job Description
About the role

As a Senior Product Manager focused on our Sensor software platform, you will lead development of our end-to-end sensor platform. This platform includes the software that operates our Gas Mapping Lidar sensors, enables in-field data review and decision-making, and manages the flow of data from collection through cloud processing.

This platform operates in real-world, often low-connectivity environments and is central to scaling our expansion into drone-based deployments. You will own a critical portion of the roadmap, driving an edge-to-cloud system that is reliable, scalable, and aligned with our long-term architecture.

This is a hands-on, execution-focused role at the intersection of hardware, software, and data systems.

What you'll do

  • Own product strategy and roadmap for core components of the sensor platform
  • Drive development of IoT-enabled, edge-to-cloud systems, including edge processing, data pipelines, and cloud integration
  • Translate field and operational requirements (e.g., limited connectivity, in-field validation) into scalable product solutions
  • Partner closely with engineering to make informed tradeoffs across hardware, firmware, and software systems
  • Define and evolve data flows from edge systems through processing pipelines to enable in-field and downstream decision-making
  • Lead prioritization across competing initiatives, balancing near-term deployment needs with long-term architectural goals
  • Deliver high-quality products on aggressive timelines with clear accountability for outcomes
  • Collaborate cross-functionally with operations, deployment teams, and leadership to ensure successful execution in the field

Qualifications

  • 5-7 years of product management experience, ideally in high-growth or early-stage technology companies
  • Proven experience building and scaling IoT or edge-connected systems (hardware + software integration)
  • Strong technical fluency-comfortable working closely with engineers on system architecture, APIs, and data flows
  • Experience supporting software deployment at scale, particularly in distributed or low-connectivity environments
  • Demonstrated ability to own and drive complex roadmaps end-to-end
  • Strong execution skills with a track record of delivering under ambiguity and time pressure
  • Excellent communication and cross-functional leadership skills
  • High degree of ownership and accountability for outcomes


Preferred Qualifications

  • Experience with drone systems, robotics, or industrial sensing platforms
  • Familiarity with event-driven or streaming data architectures
  • Experience designing systems with offline-first behavior and eventual consistency
  • Experience with time-series or high-volume sensor data pipelines
  • Familiarity with device fleet management and over-the-air (OTA) updates
  • Exposure to AI/ML applied at the edge
  • Experience with messaging and distributed systems technologies such as NATS, Kafka, or similar
  • Direct experience building for or operating in the oil & gas industry

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