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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, with customers and pros on both sides and real money moving every day.
Security is already part of how we build — today it's owned by our Cloud & DevOps team, who've kept it solid as we've scaled. As we grow a $100M+ marketplace that processes payments, holds customer and pro data, and runs on AWS — and as AI agents let us ship faster than ever — we're ready to take security to the next level with a dedicated leader.
You'd be that person: the lead who takes security from a distributed, informal practice to a deliberate, instrumented one, and who sets the multi-year direction the org — and eventually a team — follows. You'll partner closely with the delivery teams and with Cloud & DevOps, and you'll start by doing most of the heavy lifting yourself, with the autonomy of a founding hire and the backing of an engineering org that already cares about getting this right. Part of the job is building security so it can outgrow one person: the standards, playbooks, and hiring bar you lay down now are the foundation for the team you'll grow into leading.
You lead security at LawnStarter end-to-end: the PHP/Laravel and TypeScript/React codebase, the AWS infrastructure, the payments and customer-data flows, and the compliance posture. You set the multi-year direction, build the controls, and are the person the org looks to on every security question.
You start hands-on — security-of-one for now — with an explicit path to leading a small team within roughly 12-18 months, once the foundation is solid and the first hire makes sense. This isn't a hands-off management role: you lead by doing first. You'll collaborate heavily with the delivery teams and lean on Cloud & DevOps where it helps, but most of the heavy lifting is yours today. So you'll prioritize ruthlessly, automate hard, and pick the few things that actually reduce risk over the long list that merely looks thorough.
What makes this role different:
The surface is broad — payments, customer and pro PII, three brands, a shared codebase, live AWS infra — and for now it's just you. The hard part isn't knowing what to do; it's sequencing it well when you can't do everything at once, and automating enough that one person can hold a high bar while planning for the team that comes next. How do you find the risks that matter most, burn them down first, and build in a way that a second and third engineer can pick up cleanly?
Most of our code is now written by AI agents, which means more code shipping faster than any human reviewer can read. Manual security review alone doesn't scale to that. How do you build automated gates, secure-coding conventions, and evals that catch real vulnerabilities at agent speed — without becoming the bottleneck the engineering org routes around?
We take payments and protect customer data with care; the next step is formalizing that into structured, audit-ready compliance (PCI scope, SOC 2, LGPD). You'll map what's in scope, decide what's worth doing now versus later, and get us audit-ready without turning the company into a checkbox factory. What's the right program that protects customers and unblocks deals?
You'll partner with engineers across the org rather than command them. If security is seen as the thing that slows everyone down, it loses. How do you make secure the easy path, build controls people actually adopt, mentor the engineers around you, and set yourself up to hire and lead a team that carries that same standard forward?
AI-native. You use AI tools daily in security work — triaging findings, threat modeling, reviewing agent-authored code, drafting detections and policy. You have opinions about where AI sharpens security and where it creates new risk. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything by hand.
Deep across most of the stack. You have real, hands-on expertise in at least three of appsec, cloud, compliance, and response — not surface familiarity, but the kind of depth where you've built and owned controls in each — and the range to pick up the fourth fast. This is unlikely to be a good fit if you only want to work one narrow lane and hand off the rest.
A builder and a leader-in-training. You're energized by shaping a practice and leveling it up — taking it from informal to instrumented — and by setting standards that make the engineers around you better, even before you have a title that says "manager." This is unlikely to be a good fit if you only want to be heads-down with no interest in growing a function or the people on it.
A pragmatic risk-prioritizer. You ship the control that reduces the most risk for the least friction, and you're comfortable saying "not now" to a real-but-low risk. This is unlikely to be a good fit if you treat every finding as equally urgent or chase a perfect posture over a shippable one.
A hands-on engineer. You write the script, build the pipeline, configure the AWS guardrail, ship the detection. This is unlikely to be a good fit if your security experience is policy, audits, and slide decks without building the controls yourself.
A strong collaborator. You work shoulder-to-shoulder with delivery teams and Cloud & DevOps, bringing them along rather than throwing findings over the wall. This is unlikely to be a good fit if your instinct is to gatekeep, block, and police rather than enable.
Payments- and marketplace-minded. You care that real customers and pros and real money flow through this platform, and you reason about risk in those terms. This is unlikely to be a good fit if you think about security in the abstract, detached from the business it protects.