Sr. Product Engineer

About the role

This role sits on our Agents team — the group building the AI-powered experiences our customers use every day. It's where large language models stop being a demo and become a dependable part of the product: answers, drafts, and assistive features that have to be fast, trustworthy, and genuinely useful in front of real customers.

Responsibilities

• Ship customer-facing AI features across the full stack.
• Build the experience and what's behind it — LLM-backed flows, retrieval (RAG) and embeddings, and agentic tool-calling — through to a fast, accessible, well-crafted UI.
• Treat AI output as something you verify, not assume.
• Build evaluations, guardrails, and monitoring into AI features so quality is measurable and holds up in production.
• Stay close to customers. Join customer calls when more context is needed to design the right solution, participate in a support escalation rotation, and watch session recordings on the features you own.
• Own outcomes, not just output. Before a project starts, you and a PM agree on a specific outcome metric the work is trying to move. You instrument it, and after it ships you're watching the dashboard and talking to customers — deciding what to do next, not just closing a Linear issue.
• Co-author the solution. PMs own strategy and sequencing; you bring the judgment and craft for how solutions actually get built, and you'll often shape the product thinking too.

Requirements

You're a strong, full-stack-capable engineer with a frontend center of gravity. You have substantial JavaScript/TypeScript and React experience and real front-end craft, and you take initiative across the stack and ship end-to-end without waiting for someone to own the other half.

Qualifications

• You've built real things with LLMs — not just prototypes.
• You're comfortable with retrieval (RAG), embeddings, prompt/context engineering, and agentic/tool-calling patterns, and you have a point of view on what makes AI features actually reliable in production.
• You hold a high bar for AI quality.
• You think in terms of evaluation, verification, and guardrails; you measure whether an AI feature works rather than assuming it does; and you know that more AI-generated code is not the same as more value.
• You're genuinely fluent with AI coding tools and treat them as part of your craft.
• You move fast without sacrificing judgment, and you have a point of view on where these tools are heading.
• You're customer-fluent. You actively seek out customer signal because it's how you stay connected to whether your work is actually solving the problem.

Skills

• Experience making LLM features production-grade: latency/cost tuning, fallbacks and circuit breakers across providers, moderation/safety, and handling sensitive data responsibly.
• Familiarity with evaluation/observability tooling for AI (LLM-as-judge, test sets, tracing) and the discipline of building representative eval sets.
• Design sensibility — comfort partnering closely with designers and elevating the craft of an interface, not just implementing a spec.
• Experience in customer support, productivity, or other tools where trust and reliability are the product.

Benefits

• Competitive salary and an internal, transparent salary formula based on market data.
• Flexible time off – you choose the holidays and vacations that make sense for you.
• 12 weeks of fully paid parental leave for all new parents, including adoption and foster care.
• A home office stipend to help you get set up and productive.
• A co-working stipend up to $300 a month if you choose to work out of your house.
• A yearly professional development stipend of $1,800 to help you grow in your craft.

Pay

$162K - $182K

Schedule

Full-time