Staff Software Engineer, Product

AI coding agents are a force multiplier here — they give a small, senior team the leverage to ship more, faster, and at a higher bar for quality. We hire engineers who are wired for ownership and energized by shipping to a real marketplace with customers and pros on both sides.

The Role

You're the engineering anchor of an initiative — working as part of a tight team with your PM and designer, and alongside engineering peers on adjacent initiatives. You have a hand in the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement much of the code, shipping to production, and — with your team — owning the outcome.

You're measured by impact, not by lines of code merged. When an agent can ship something safely, your job is to make sure it's done right and the metric moves. When the work calls for careful, hand-written code in a sensitive area, you write it yourself.

What makes this role exciting

• You ship end-to-end. From problem-framing through production to the post-launch metric review — you see the whole arc and own the result with your team.
• You work as a true product partner. You sit at the table with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
• You get real autonomy — with the right checkpoints. You make most technical calls yourself, with architect review on significant architectural decisions and fast input from peers.
• You operate at a staff bar. You're trusted to make the call, ship the hard thing, and stand behind the outcome.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make most calls yourself and bring significant architectural decisions to architect review; you document them, and revisit if the data says you were wrong.
• Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code. Most lines will be agent-authored, and you're accountable for them — held to the same standard as the rest of the team working in a shared codebase.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and designer (UX decisions, in-tool prototyping), regular collaboration with engineering peers, and weekly check-ins with your EM.
• The initiative outcome — the metric the initiative was set up to move. With your PM, you present results 2-4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships — production correctness, security, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at a staff-level quality bar Most of the code on your initiative will be authored by AI agents. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch issues before merge, tests that exercise the edges, observability that catches a regression before a customer does. How do you build a workflow that lets a small team ship far more than its size would suggest?

Owning decisions with high autonomy You have real latitude to make and document technical calls quickly — with architect review on the big architectural ones and peers to pressure-test your thinking. How do you move fast, keep your team aligned, and stay accountable to the outcome?

Shipping outcomes, not features Each initiative is measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit-economics shift. You're accountable for the number alongside your team. How do you scope to actually move it, decide what *not* to build, and have the discipline to follow up 2-4 weeks after launch?

What Success Looks