Robotics & Autonomy Lab Product Manager

Nodi; New York (NY); On-site; USD 195,000 - 265,000; Full time

Job summary

Nodi in New York seeks a Technical Product Manager to own the robotics and autonomy layer of our self-driving lab. You will guide the Workcells, instruments, control software, sim environment, and perception workflows that translate AI decisions into experiments and reliable results.

You will spend substantial time on the lab floor, engaging with engineers, scientists, and operators to drive outcomes. This role requires making tradeoffs between throughput, reliability, flexibility, and cost,

Qualifications

• 5–7 years in product management or a cross-functional engineering role.
• Experience in robotics, automation, or integrated hardware/software products.
• Ability to mature automated or semi-automated processes in production and build reliability test suites.
• Experience leading discovery with customers or stakeholders.
• Ability to influence priorities across hardware, software and science teams without formal authority.
• Strong first-principles thinking and problem-structure skills.

Responsibilities

• Own Workcells and hardware roadmap from problem to deployment.
• Define requirements for new Workcells and instrument integrations.
• Own software that runs the lab, including scheduling, orchestration, and control.
• Set autonomy thresholds and determine human-in-the-loop boundaries.
• Define lab performance metrics, reliability, and safety considerations.
• Collaborate with robotics, controls, science, and ML teams to align roadmaps and requirements.

Skills

Product management

Robotics

Cross-functional collaboration

Technical reasoning

First principles thinking

Influence without authority

Tools

Robot software stacks

Simulation

Reinforcement learning systems

Job description

Nodi in New York seeks a Technical Product Manager to own the robotics and autonomy layer of our self-driving lab. You will guide the Workcells, instruments, control software, sim environment, and perception workflows that translate AI decisions into experiments and reliable results.

You will spend substantial time on the lab floor, engaging with engineers, scientists, and operators to drive outcomes. This role requires making tradeoffs between throughput, reliability, flexibility, and cost,