SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 85,000 - 125,000 / annual
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
You will be the engineering anchor of a product initiative, working as part of a tight team with a Product Manager and designer, alongside engineering peers on adjacent initiatives. You own the full lifecycle: shaping the problem, deciding the technical approach, directing AI agents to implement code, shipping to production, and owning the outcome with your team. You are measured by impact and metric movement, not lines of code merged.
Key responsibilities include:
- Owning the technical approach: architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative
- Ensuring implementation quality through prompts, guardrails, evals, tests, and review loops that let AI agents ship safe, correct, production-ready code
- Cross-functional partnership with PM (scope, tradeoffs) and designer (UX decisions, prototyping), regular collaboration with engineering peers, and weekly check-ins with your Engineering Manager
- Owning the initiative outcome—the metric the initiative was set up to move—and presenting results 2–4 weeks post-launch
- Maintaining a high bar for what ships: production correctness, security, performance, observability, and experience for customers and pros
What makes this role exciting: you ship end-to-end from problem-framing through production to post-launch metric review; you work as a true product partner bringing engineering judgment to product calls; you get real autonomy with appropriate checkpoints; and you operate at a staff bar with trust to make calls, ship hard things, and stand behind outcomes.
Year 1 success looks like: shipping 3–4 initiatives end-to-end with at least two clearly moving their metric; building an agent workflow (prompts, evals, review loop) that peers adopt; meaningfully shorter cycle time from problem-framing to first production rollout; no customer- or pro-facing regressions from agent-authored code; and leaving behind reusable artifacts (runbooks, evals, workflows, post-launch write-ups) that peers reference.
Tech stack: AI agents (Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling); Backend (PHP/Laravel); Frontend (TypeScript/React/React Native for customer & pro apps, web and mobile); Data (Redshift, dbt, Segment, Airflow); Infra (AWS, Datadog, Sentry, GitHub Actions); Documentation & process (Brain, Confluence, Jira).
This is an individual-contributor role with room to grow into management. It is hands-on and product-focused, shipping features that move metrics. You will be shipping to a live marketplace with real customers and pros using what you build within the same week.
REQUIREMENTS:
- AI-native: Claude Code, Cursor, Codex, or equivalent are how you ship today on production work. You have real opinions about prompts, evals, agent loops, and review workflows, and know when to let the agent run versus write it yourself.
- Operating at a lead/staff level: you have been the person making the call, shipping the hard thing, and standing behind whether it worked, regardless of current title.
- Outcome-driven: you measure your week in "did the metric move" and "did the experience get better." You read post-launch dashboards and own the answer.
- Strong horizontal partner: you hold your own with strong PMs and designers, collaborate well with engineering peers in a shared codebase, bring engineering judgment to product calls and product judgment to engineering calls.
- Decisive and documented: you make architecture, data-model, and rollout calls, write them down, get fast input, and move.
- Force multiplier: your impact compounds beyond your own initiative because you leave reusable artifacts behind.
- Customer- and pro-minded: you care about outcomes for both sides of the marketplace.
- Deep skill in at least one of the tech stacks (backend, frontend, data, or infra) plus credible production experience with AI coding agents.
