Product Manager
About the role
We're looking for a Product Manager to own the software platform and agent layer at the core of what we build. This is a focused, high-leverage scope in a company where the product is genuinely novel.
Responsibilities
Own the software platform: The product surface that scientists, engineers, and operators use to interact with our autonomous lab — how it's structured, what it exposes, and how it evolves.
Feature definition and prioritization across the software layer, informed by close collaboration with internal users and external partners.
A clear, opinionated point of view on what the platform should do and what it shouldn't.
Agent capabilities: The AI agent layer that powers our autonomous lab — what tools agents have access to, how they're designed to reason, and where the capability gaps are.
Working directly with engineering and ML research to translate scientific and operational requirements into concrete agent tooling and workflow specs.
Staying current on the agentic AI landscape; knowing what's newly possible and when it's worth building vs. adopting.
Cross-functional: Work closely with engineering, science, and ML research to keep the roadmap grounded in both technical reality and user need.
Own a genuine, considered design for the overall agentic system — not just feature-level decisions, but how the system fits together.
Collaborate with PMs at partner and customer organizations to align on requirements and roadmap priorities.
Communicate product direction clearly — to engineers building it and to leadership deciding where to invest.
Requirements
5-7 years in a product management role; ideally with experience at a technical or deep-tech company.
Technically credible — you can write code, even if not at production scale; comfort with POC or prototype-level implementation is expected. You read codebases fluently, understand system architecture, and engage with engineers as a peer, not through a translator.
Strong user intuition — you know how to identify what's actually needed, not just what's asked for, through close collaboration with scientists and engineers who use what you build.
Strong communication and stakeholder management — you can influence without authority across science and engineering teams.
Comfortable with ambiguity and first-principles thinking; this is not a role with established processes to follow.
Nice to have
Experience with scientific, laboratory, robotics, or industrial software.
Familiarity with AI/ML products, LLM-based systems, or agent frameworks.
Exposure to enterprise or government customers in deep-tech or regulated industries.
Background building internal tooling or developer-facing products.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or related field.
Experience: 5-7 years in a product management role.
Skills
Technical credibility: Can write code, understand system architecture, and engage with engineers as a peer.
User intuition: Identifies actual needs through collaboration with scientists and engineers.
Communication and stakeholder management: Influences without authority across science and engineering teams.
First-principles thinking: Comfortable with ambiguity and making decisions based on principles rather than established processes.
Benefits
100% employer-covered medical, dental, and vision insurance.
Unlimited PTO.
14+ company holidays.
2 weeks of company shutdown at EOY.
401(k).
Mental health support.
Pay
$195,000 - $265,000 base + equity + benefits
Schedule
Based in New York City. Full-time, Monday to Friday.