LawnStarter
Staff Software Engineer, Product
1mo ago
80000 –100000 USD / yearLATAMSeniorRemotephplaraveltypescriptreactawsdatadogsentrygithub actions
Staff Software Engineer role at LawnStarter, leading AI-powered initiatives in a remote position based in Campinas, Brazil. The company is a leading marketplace for lawn care and expanding home services with strong product-engineering culture.
About the company
- LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings.
- We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About the product
- We build in small, focused initiative teams: a Product Engineer working alongside a PM and a designer, supported by an Engineering Manager who helps you grow.
- 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.
Responsibilities
- 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 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.
- The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative.
- Implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code.
- 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, presenting results 2–4 weeks post-launch with your PM.
- A high bar for what ships — production correctness, security, performance, observability, and experience for customers and pros.
- Leading AI agents at a staff-level quality bar: prompts, evals, tests, observability to ensure senior engineer-level quality.
- Owning decisions with high autonomy: making and documenting technical calls with architect review on significant decisions.
- Shipping outcomes, not features: accountable for metric movement and disciplined follow-up 2–4 weeks after launch.
Requirements
- AI-native with experience shipping production work using Claude Code, Cursor, Codex, or equivalent AI coding agents.
- Operating at a lead level: responsible for decisions, shipping difficult work, and owning outcomes.
- Outcome-driven mindset measuring success by metric movement and experience improvement.
- Strong collaboration with PMs, designers, and engineering peers in a shared codebase.
- Decisive and documented: architecture, data-model, rollout calls made and documented efficiently.
- Force multiplier leaving reusable agent workflows, evals, runbooks, and post-launch reviews.
- Customer- and pro-minded, caring about real marketplace outcomes.
Nice to have
- Individual contributor role with room to grow towards management (people management is via EM).
- Product-engineering role end-to-end with platform and architecture work as needed.
- Hands-on with a high quality bar; agents handle much implementation, engineer brings judgment, design, safety, accountability.
- Shipping to a live marketplace with $100M+ bookings and quick real-user feedback.
About the product
- Tech stack includes AI agents: Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling.
- Backend: PHP/Laravel.
- Frontend: TypeScript/React/React Native (customer & pro apps, web and mobile).
- Data: Redshift, dbt, Segment, Airflow.
- Infrastructure: AWS, Datadog, Sentry, GitHub Actions.
- Documentation & process: Brain (Claude Code skills + docs repo), Confluence, Jira.
- Deep skill needed in at least one stack plus credible production experience with AI coding agents.
Conditions
- Competitive salary of USD $80,000–$100,000 annual base.
- Work from anywhere.
- High ownership and autonomy.
- Fast-moving team that loves to build, learn, and grow.