Jobs at LawnStarter

Own and expand automated E2E and integration testing with Cypress, manage the bug lifecycle, perform exploratory web and mobile testing, and improve quality processes. Partner cross-functionally with Product, Design, Data, and Engineering to identify risks early, define quality standards, and prevent customer-impacting issues. Use AI tools, browser MCPs, agent workflows, scripting, SQL, and full-stack debugging to increase testing effectiveness.

Lead distributed teams of 4–5 engineers, owning people development, delivery reliability, team health, cross-functional alignment, technical direction, and AI adoption. Build career growth plans, address performance and conflict directly, manage delivery risks, support architecture decisions, and improve measurable team throughput while maintaining software quality.

Owns product initiatives end to end, including problem framing, architecture, implementation quality, AI-agent workflows, production launches, observability, and post-launch metrics. Partners closely with product managers, designers, engineering peers, and engineering management. Makes autonomous technical decisions, ensures security and performance, and delivers measurable marketplace outcomes across a shared PHP/Laravel and TypeScript/React platform.

Own end-to-end lifecycle marketing across three brands, including acquisition, onboarding, retention, reactivation, cross-sell, transactional messaging, copy, campaign execution, testing, and measurement. Build AI-powered segmentation, personalization, automation, monitoring, and experimentation in Braze. Develop messaging roadmaps, improve retention and conversion, apply brand standards across approximately 1,750 templates, diagnose transactional issues, and collaborate with engineering, support, brand, and CRO teams.

Lead and grow a PM team to drive growth, retention, and profitability across a marketplace platform. Build a repeatable multi-service product playbook, prioritize tradeoffs, own roadmap decisions, and define how AI/agents are integrated to serve customers and service professionals.

Owner of Growth experimentation and acquisition-to-conversion analytics: design rigorous tests (power, sample size, anytime-valid monitoring), produce readouts, and build a Python/dbt/Lightdash self-serve experimentation layer. Maintain a trusted funnel model (visitor→lead→customer) across channels, reduce reruns via instrumentation checks, and partner with CRO, Growth PMs, and performance marketing to turn analysis into measurable conversion wins.

Own high-impact product workstreams within New Customer Acquisition, Deliver Service, or AI & Operating Excellence. Define ambiguous problems, drive metric ownership (conversion, retention, Pro supply, cost-to-serve), lead cross-functional engineering/design pods to shipped outcomes, and build AI-forward workflows that speed decision-making and improve customer and Pro experiences.