Headquarters: Porto Alegre, State of Rio Grande do Sul, Brazil
URL: http://lawnstarter.com
About LawnStarter
LawnStarter is the nation’s main on-demand market for garden care and outside companies, with over $100M in annual bookings. We’re increasing past garden care to grow to be the one-stop store for all residence companies — working throughout three manufacturers (LawnStarter, Garden Love, Residence Gnome) on a single shared platform.
About Engineering at LawnStarter
We construct in small, targeted initiative groups: a Product Engineer working alongside a PM and a designer, supported by an Engineering Supervisor who helps you develop. You may additionally work shoulder-to-shoulder with engineering friends throughout initiatives in a shared codebase. The entire crew owns whether or not the work strikes its metric.
AI coding brokers are a pressure multiplier right here — they provide a small, senior crew the leverage to ship extra, sooner, and at a better bar for high quality. We rent engineers who’re wired for possession and energized by transport to an actual market with prospects and professionals on either side.
The Function
You are the engineering anchor of an initiative — working as a part of a good crew together with your PM and designer, and alongside engineering friends on adjoining initiatives. You’ve a hand within the full lifecycle: shaping the issue, deciding the technical strategy, directing AI brokers to implement a lot of the code, transport to manufacturing, and — together with your crew — proudly owning the result.
You are measured by impression, not by traces of code merged. When an agent can ship one thing safely, your job is to ensure it is carried out proper and the metric strikes. When the work requires cautious, hand-written code in a delicate space, you write it your self.
What makes this position thrilling:
- You ship end-to-end. From problem-framing via manufacturing to the post-launch metric assessment — you see the entire arc and personal the end result together with your crew.
- You’re employed as a real product companion. You sit on the desk with PM and design, bringing engineering judgment to product calls and product sense to engineering calls.
- You get actual autonomy — with the correct checkpoints. You make most technical calls your self, with architect assessment on important architectural choices and quick enter from friends.
- You use at a employees bar. You are trusted to make the decision, ship the arduous factor, and stand behind the result.
What You may Personal
- The technical strategy — structure, knowledge mannequin, integration selections, rollout plan, observability, and rollback technique on your initiative. You make most calls your self and produce important architectural choices to architect assessment; you doc them, and revisit if the information says you had been unsuitable.
- Implementation high quality — the prompts, guardrails, evals, exams, and assessment loop that allow brokers ship protected, right, production-ready code. Most traces will probably be agent-authored, and also you’re accountable for them — held to the identical normal as the remainder of the crew working in a shared codebase.
- Cross-functional partnership — day by day working contact together with your PM (scope, tradeoffs) and designer (UX choices, in-tool prototyping), common collaboration with engineering friends, and weekly check-ins together with your EM.
- The initiative final result — the metric the initiative was set as much as transfer. Along with your PM, you current outcomes 2-4 weeks post-launch and share the “did it work” reply.
- A excessive bar for what ships — manufacturing correctness, safety, efficiency, observability, and the expertise for purchasers and professionals. Brokers speed up you; they do not decrease the bar.
Issues to Remedy
Main AI brokers at a staff-level high quality bar Many of the code in your initiative will probably be authored by AI brokers. The craft is making them ship as if a senior engineer wrote it: prompts that encode our conventions, evals that catch points earlier than merge, exams that train the sides, observability that catches a regression earlier than a buyer does. How do you construct a workflow that lets a small crew ship excess of its measurement would recommend?
Proudly owning choices with excessive autonomy You’ve actual latitude to make and doc technical calls shortly — with architect assessment on the massive architectural ones and friends to pressure-test your pondering. How do you progress quick, maintain your crew aligned, and keep accountable to the result?
Transport outcomes, not options Every initiative is measured by a metric — a conversion fee, a retention curve, a pro-funnel KPI, a unit-economics shift. You are accountable for the quantity alongside your crew. How do you scope to truly transfer it, resolve what *not* to construct, and have the self-discipline to observe up 2-4 weeks after launch?
What Success Appears Like (12 months 1)
- Initiative outcomes hit — You have shipped 3-4 initiatives end-to-end, and at the least two clearly moved their metric (with the post-launch assessment to show it).
- Agent workflow that travels — The prompts, evals, and assessment loop you constructed are picked up by friends on different initiatives.
- Sooner cycle time — Median time from problem-framing to first manufacturing rollout in your initiatives is meaningfully shorter.
- High quality holds — No customer- or pro-facing regression traceable to agent-authored code that slipped via your assessment.
- Seen leverage — Friends level to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.
Necessities
Who You Are
- AI-native. Claude Code, Cursor, Codex, or equal are the way you ship right now — day by day, on manufacturing work. You’ve actual opinions about prompts, evals, agent loops, and assessment workflows, and you understand when to let the agent run versus write it your self.
- Working at a lead degree. No matter your present title, you have been the individual making the decision, transport the arduous factor, and standing behind whether or not it labored.
- End result-driven. You measure your week in “did the metric transfer” and “did the expertise get higher.” You learn the post-launch dashboard and personal the reply.
- A powerful horizontal companion. You maintain your personal with a powerful PM and designer, and also you collaborate effectively with engineering friends in a shared codebase. You deliver engineering judgment to product calls and product judgment to engineering calls.
- Decisive and documented. You make structure, data-model, and rollout calls, write them down, get quick enter, and transfer.
- A pressure multiplier. Your impression compounds past your personal initiative since you go away reusable artifacts behind — agent workflows, evals, runbooks, post-launch critiques.
- Buyer- and pro-minded. This can be a actual market with actual individuals on either side, and also you care in regards to the outcomes for each.
Good to Know
- A person-contributor position with room to develop. Folks administration sits with the EM — however the path into administration is an open door for many who need it.
- A product-engineering position, end-to-end. You ship options that transfer metrics; platform and structure work occur contained in the initiative when the result wants them.
- Fingers-on, with a top quality bar. Brokers deal with a lot of the implementation; you deliver the judgment, design, security, and accountability. The bar is excessive.
- Transport to a stay market. With $100M+ in bookings, prospects and professionals use what you ship throughout the similar week.
Tech You may Contact
- AI brokers — Claude Code, Cursor, Codex, inner agent stack, MCP servers, evals tooling
- Backend — PHP/Laravel
- Frontend — TypeScript/React/React Native (buyer & professional apps, internet and cellular)
- Knowledge — Redshift, dbt, Section, Airflow
- Infra — AWS, Datadog, Sentry, GitHub Actions
- Documentation & course of — Mind (Claude Code abilities + docs repo), Confluence, Jira
You do not want each field checked. You want deep talent in at the least one in every of our stacks plus credible manufacturing expertise with AI coding brokers.
Advantages
- Aggressive wage of USD $80,000-$100,000 annual base
- Work from wherever
- Excessive possession and autonomy
- Quick-moving crew that likes to construct, study, and develop
To use: https://weworkremotely.com/remote-jobs/lawnstarter-staff-software-engineer-product-4
