AI Engineer

We integrate with every tool across the go-to-market stack, combine it with first and third-party data, and build the most complete event-level data foundation in the industry. On top of it, we:

• Mine every won and lost deal to reverse-engineer the patterns that drive revenue, then deploy agents that guide reps through the optimal process deal by deal, in real time.
• Surface what’s really driving pipeline and what isn’t, replacing weeks of manual analysis with answers on demand.
• Learn from every outcome and every rep interaction, getting sharper over time - not just when someone rewrites a prompt.

We’re not wrapping LLMs around prompts and guessing. We’ve built a structured reasoning layer that makes agent execution deterministic and self-improving - something no other player in the market has done.

Y Combinator alum. $26M Series A led by Bessemer Venture Partners. 3× YoY growth. 8-figure ARR. 60+ TB of GTM data processed. We move fast and hire people who are ready to win. This role is based at our San Francisco HQ., * Own and continuously improve the backend systems that power all agentic AI features across the platform

• Design, write, and maintain agents responsible for different tasks across a GTM team’s workflows, leveraging the latest agent frameworks
• Develop and maintain backend services in Node.js that power these agents
• Build state-of-the-art context management pipelines and manage thousands of stateful agents.
• Ship fast and often - deploying to production frequently while maintaining high-quality standards

• Ownership-first mindset - you take initiative, move fast, and figure things out
• Thrive in early-stage, high-urgency environments where speed and impact matter
• Fully committed to working in-person 5 days/week at our SF HQ
• Curious, self-aware, and feedback-driven - you bring energy, not ego
• See this role as a defining chapter - not a stepping stone or side quest

What you bring:

• Hands-on experience building and deploying LLM-powered applications or agentic AI systems in production
• Strong backend engineering experience with Node.js and modern JavaScript/TypeScript
• Experience designing and orchestrating multi-agent systems, including managing agent state, memory, and context across complex workflows
• Familiarity with modern AI frameworks and providers (Braintrust, Cerebras, Langchain or similar)
• Understanding of multi-model architectures - knowing when and how to route tasks across different LLMs for cost, speed, and quality tradeoffs
• A track record of shipping in fast-moving, production environments