Product Engineer
- LocationNew York, NY or Boulder, CO
- Salary$200K–$300K+
- EquityEarly-stage equity
- BenefitsComprehensive health, dental & vision, One Medical membership, daily lunch & gym membership
Email careers@plasma.ai
About Plasma
AI is crossing a threshold. Systems of agents are beginning to do consequential work unattended, for hours at a time. Plasma builds what those systems need: shared context, an indexed knowledge base, budgets and approvals, and a record of everything that happens: the infrastructure that makes autonomous organizations trustworthy at scale.
The Opportunity
We're looking for a full-stack product engineer to own features end to end, from the data model and API to the interface a customer touches. You'll work directly alongside our founders and be responsible for turning what customers need into what Plasma ships.
Plasma's users are technically demanding operators of autonomous systems, and there is still a lot of room to shape and grow what Plasma is. We're looking for the kind of engineer who thrives closest to the customer: a forward-deployed generalist who takes an ambiguous, high-stakes problem and carries it through to working software.
What You'll Work On
End-to-End Features: Design, build, and ship complete product features across the stack: backend services, data models, APIs, and the UI on top of them
Customer Problems: Sit close to users, understand their workflows firsthand, and turn ambiguous needs into scoped, shipped functionality
Agent-Facing Workflows: Build the surfaces where operators configure, supervise, and act on autonomous AI systems
Product Ownership: Make the calls on what ships now versus later, and carry features through polish and iteration after launch
Velocity: Prototype in days to learn, then harden what works into production-quality software
What We're Looking For
Strong full-stack engineering: TypeScript and React on the frontend, plus real backend depth in API design, data modeling, and production databases like Postgres
A track record of shipping products users depend on, taking features from zero to launched with minimal handoffs
Product sense: you ask why before how, talk to users directly, and cut scope without cutting quality
You build with AI every day (coding agents, LLM APIs) and have informed opinions about where they help; hands-on work with LLM-powered features or agent frameworks is a plus
Experience in forward-deployed, product engineering, or founding-engineer roles where engineers own the customer problem, not just the code. Former founders are very welcome