Product Engineer (Remote - Mexico City, Mexico)

About LawnStarter

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 Engineering at LawnStarter

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. You'll also work shoulder-to-shoulder with engineering peers across initiatives in a shared codebase. The whole team owns whether the work moves its metric.

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:

• End-to-End Ownership: Ship features from problem-framing through production to post-launch metric review, owning the result with your team.
• True Product Partnership: Collaborate closely with PM and design, bringing engineering judgment to product decisions and product sense to engineering ones.
• Autonomy with Checkpoints: Make most technical calls independently, with architect review for significant decisions and fast input from peers.
• Staff-Level Impact: Operate with the trust and responsibility to tackle challenging projects and stand behind the outcomes.

What You'll Own

• Technical Approach: Define architecture, data models, integration choices, rollout plans, observability, and rollback strategies, with architect review for major decisions.
• Implementation Quality: Ensure AI-authored code meets production standards through effective prompts, guardrails, evaluations, tests, and review loops.
• Cross-functional Partnership: Engage daily with PM and design, collaborate with engineering peers, and have weekly check-ins with your Engineering Manager.
• Initiative Outcome: Drive the key metric your initiative is designed to impact, presenting results 2-4 weeks post-launch.
• High Shipping Bar: Maintain rigorous standards for production correctness, security, performance, and observability.

Problems to Solve

• Leading AI Agents: Develop workflows to ensure AI-generated code meets senior engineering quality standards, maximizing team leverage.
• Autonomous Decision-Making: Navigate high-autonomy environments to make and document technical calls quickly while maintaining team alignment and accountability.
• Outcome-Focused Delivery: Scope initiatives to directly impact key metrics and demonstrate disciplined follow-through post-launch.

What Success Looks Like (Year 1)

• Achieve Initiative Outcomes: Successfully ship 3-4 initiatives, with at least two measurably moving their target metrics.
• Develop Reusable Agent Workflows: Create and share prompts, evaluations, and review processes that are adopted by other teams.
• Reduce Cycle Time: Significantly shorten the median time from problem definition to production rollout.
• Maintain Quality: Prevent customer- or pro-facing regressions from AI-authored code.
• Demonstrate Leverage: Produce valuable artifacts (runbooks, post-launch reviews) that serve as references for peers.

Requirements

Who You Are

• AI-Native: Proficient in using AI coding tools (Claude Code, Cursor, Codex, etc.) daily for production work, with strong opinions on prompt engineering, evaluation, and agent workflows.
• Lead-Level Experience: Demonstrated ability to make critical decisions, ship complex features, and own their success.
• Outcome-Driven: Focused on metric improvement and user experience enhancements, with a proactive approach to analyzing post-launch data.
• Strong Horizontal Partner: Excellent collaborator with Product Managers and Designers, capable of bridging product and engineering perspectives.
• Decisive & Documented: Ability to make and document architectural, data model, and rollout decisions swiftly, incorporating feedback from peers.
• Force Multiplier: Proven ability to amplify team impact through reusable artifacts and shared knowledge.
• Customer & Pro-Minded: Deep care for the end-users—both customers and service professionals—on the platform.

Good to Know

• Individual Contributor Role: Focus on technical contribution, with opportunities for growth into management.
• End-to-End Product Engineering: Drive features that impact metrics; platform work is integrated as needed.
• High Quality Bar: Leverage AI for implementation while providing critical judgment, design, safety, and accountability.
• Live Marketplace Impact: Ship features used by customers and professionals on a platform with $100M+ in annual bookings.

Tech Stack

• 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
• Infra: AWS, Datadog, Sentry, GitHub Actions
• Documentation & Process: Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary: USD $80,000–$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team focused on building, learning, and growth