Applied AI Engineer

Warp is the AI-native Employee Management Platform for ambitious companies. HRIS, payroll, benefits, IT, tax compliance, and more, all built from scratch on one AI-native platform.

Every company runs on its people, and the software that manages them is some of the oldest in the enterprise. Incumbents like ADP and Workday built their businesses on complexity and large ops teams. Warp is built for AI to be the primary operator. Every advance in LLM capability widens our lead.

We process $X billion in annual payments for high-growth companies across all 50 US states + globally.

We've raised $85M from Battery Ventures, Sapphire Ventures, Peak XV, Sound Ventures (Ashton Kutcher), and Y Combinator, alongside operators including Tobi Lütke (Shopify), Claire Hughes Johnson (Stripe), and the founders of Dropbox and Replit. Our team comes from MIT, Ramp, Brex, Google, Gusto, Rippling, and more.

We hire people who ship constantly, own outcomes, and care about craft. If you want to automate an entire category of work that every company depends on, this is the place.

• Ship agentic features end to end, from the model call to the UI, across HRIS, payroll, benefits, IT, and more

• Build and extend Warp Agent's harness: tool-calling, durable execution for long-running work (triggers, scheduling, wait and resume), and a run log that makes every agent action auditable

• Design evals and guardrails for workflows where mistakes are costly, and decide when an agent acts on its own versus asks for approval

• Build new agent workflows and expand what customers can configure and author themselves

• Extend our permission model to agents so every action respects who the agent is working for

• Build internal agents and tooling that remove manual work across Warp's own teams

• Build new surfaces for interactions with Warp agent across the web app, employee app, mobile app, and slack

• Collaborate directly with the CTO and CEO

• Have shipped LLM features that real users depend on in production, and know where they break

• Think in systems: evals, observability, cost, latency, and failure modes

• Are product-minded and care how an agent's work shows up for the person who delegated it

• Get excited by hard domains where correctness matters more than demos

• Use coding agents heavily in your own workflow and have opinions on what works

• Strong full-stack engineering skills and expertise in a modern, strongly typed language

• A track record of building production AI systems: agents, tool use, retrieval, or structured extraction

• Experience designing reliable backend systems

• High agency. You figure things out.

• Willingness to work from our NYC office five days a week