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Salary: USD 190,000 - 223,000 / annual
Apptronik is a human-centered robotics company developing AI-powered humanoid robots (Apollo) to support humanity across manufacturing, logistics, healthcare, and beyond. As Senior Product Manager for Perception and Navigation, you will own the product vision and execution for the perception and navigation software stack—a critical subsystem that transforms sensor inputs into scene understanding and world state for the robot's autonomy layer.
Key responsibilities include: owning and maintaining the perception and navigation roadmap (detection, tracking, localization, mapping, obstacle avoidance); driving technical definition of the perception stack; defining evaluation metrics and field-testing regimes with clear success/regression criteria; owning requirements for perception data pipelines (collection, labeling, feedback loops from deployments); leading product requirements for safe perception (failure modes, validation coverage, autonomy risk); co-designing within compute constraints (edge deployment, latency, on-robot performance); defining and prioritizing use cases based on business impact and customer needs; synthesizing insights from user research, customer meetings, usage data, and sales feedback into strategy; working cross-functionally with industrial design, UX, and engineering teams; and supporting product marketing and partner initiatives.
You will operate at the intersection of hardware and software, translating complex technical challenges into executable product roadmaps and communicating requirements clearly to engineering teams. The role demands practical experience taking perception and autonomy software from lab to reliable real-world operation, with strong judgment around safety, failure modes, and validation coverage.
Required: 7+ years product management experience with strong fundamentals in perception and navigation (detection, tracking, localization, mapping, obstacle avoidance); demonstrated experience defining evaluation metrics and field-testing regimes for autonomy/perception; field deployment experience; practical safety judgment; excellent communication skills; ability to make decisions under uncertainty; and user-centric prioritization.
Preferred: autonomous robots or autonomous vehicles experience; perception/autonomy evaluation frameworks and large-scale field-test data analysis; synthetic and simulation-generated data for perception; data collection operations (teleoperation, annotation pipelines); industrial environment customer experience; robotics and functional safety standards (ISO 10218, ISO/TS 15066, ISO 13482, RIA 15.08).
