Jobs at LawnStarter

Own the end-to-end consumer experience after first booking, including onboarding, discovery, property details, scheduling, reviews, cancellations, win-back, cross-sell, personalization, and AI-powered experiences. Set product vision and roadmap, collaborate with engineering, design, data, marketing, and operations, and deliver measurable improvements in retention, lifetime value, and satisfaction while balancing marketplace impacts on service Pros.

Own the end-to-end consumer experience after first booking, including onboarding, discovery, scheduling, personalization, cross-sell, cancellations, and win-back. Set the product vision and roadmap, launch AI-powered experiences, improve retention and customer satisfaction, and balance customer outcomes with marketplace effects on Pros, pricing, and operations. This is a senior individual-contributor role requiring scaled B2C product experience, strong analytics, personalization expertise, and hands-on AI product development.

Own the full-cycle recruiting process for US-based Senior and Director-level positions, including sourcing, screening, candidate communication, scheduling, hiring-manager partnership, pipeline reporting, and offer management. The role requires using AI tools and recruiting automations to improve efficiency, managing multiple searches, maintaining Workable ATS records, and working remotely from the Philippines with significant US-hours overlap.

Lead Product Data Analyst responsible for marketplace modeling, analysis, reporting, metrics governance, and analytics engineering. The role partners with product managers and stakeholders to produce actionable insights, build trusted dashboards, enable self-service reporting, and create clean, documented dbt datasets. Work includes A/B testing, multivariate modeling, retention and ETA analysis, advanced SQL, and occasional Python or R statistical analysis. This is an autonomous individual-contributor role focused on the Pro supply side of the marketplace.

Lead product data analysis for the marketplace’s Pro supply side by modeling data, conducting A/B tests and statistical analyses, building trusted reports and dashboards, and creating clean dbt datasets. Partner with product managers and stakeholders to influence decisions, improve metric consistency, enable self-service analytics, and foster a data-driven culture. This is an autonomous individual-contributor role requiring advanced SQL, intermediate Python or R, strong business judgment, and daily use of AI tools.

Lead a distributed team of 4–5 engineers, owning people development, delivery reliability, team health, cross-functional coordination, technical direction, and AI workflow adoption. Build growth plans, address performance and conflict directly, manage delivery risks, collaborate with Product and Design, and maintain technical credibility without becoming a bottleneck. The role emphasizes remote-native leadership, data-driven management, predictable execution, and using AI tools to improve engineering throughput and quality.

Leads a distributed team of 4–5 engineers, owning people development, delivery reliability, team health, cross-functional collaboration, technical direction, and AI workflow adoption. The manager creates growth plans, addresses performance and conflict, manages delivery risks, partners with Product and Design, and supports sound architectural decisions without becoming a technical bottleneck. Success requires improving team predictability, retention, engineering effectiveness, and AI-enabled productivity.

Owns Growth and Experimentation analytics, including experiment design, power calculations, statistical readouts, funnel modeling, and self-serve analytics automation. Partners with CRO, Growth PMs, and marketing teams across acquisition and conversion channels. Builds trusted CAC, LTV, and conversion metrics while improving instrumentation, attribution quality, and experimentation rigor using SQL, Python, dbt, Lightdash, Segment, Flagsmith, and AI tooling.

Lead the product strategy and execution for LawnStarter’s consumer and Pro AI agent experiences. Own conversational AI, agent actions, customer-to-Pro messaging, human handoffs, workflow integrations, external AI agent access, evaluations, and guardrails. Ship reliable AI capabilities that resolve issues, complete bookings and service changes, improve productivity, and increase retention. This individual contributor role requires cross-functional leadership across engineering, applied science, design, data, support, and operations.

Own the growth experimentation program across web, SMS, sales, and SEO. Design rigorous tests, evaluate power and statistical significance, maintain instrumentation, automate self-serve analytics tooling, and build a trusted acquisition-to-conversion funnel covering CAC, LTV, and conversion rates. Partner with CRO, marketing, and Growth PMs to turn analysis into measurable decisions and conversion improvements. The role requires expert SQL, Python, dbt, Lightdash, experimentation methodology, and strong stakeholder influence.

Own and rebuild the consumer first-service experience across LawnStarter’s three brands, from marketing-site entry through signup, quoting, scheduling, checkout, and first booking. Define the product vision, design an AI-native and agentic experience, analyze funnel performance, prototype with customers, and ship improvements with engineering, design, operations, marketing, and data teams. Success includes increased conversion, more first-service bookings, and strong customer satisfaction.

Staff Product Software Engineer responsible for shaping, architecting, implementing, testing, deploying, and measuring product initiatives end to end. The role partners closely with product managers and designers, uses AI coding agents extensively, owns technical decisions and production quality, and evaluates post-launch business outcomes. Responsibilities include architecture, data modeling, rollout planning, observability, security, testing, agent workflows, documentation, and cross-functional collaboration.

Own LawnStarter’s company-wide quality engineering strategy, testing standards, CI/CD quality gates, AI-native testing tools, and production quality signals. Lead and mentor the QA discipline across teams without initially managing direct reports. Build and improve test automation across unit, component, contract, API, end-to-end, mobile, performance, accessibility, and visual regression testing. Drive quality roadmaps, pipeline improvements, AI tooling adoption, and organizational accountability while remaining hands-on with infrastructure and test development.

Own LawnStarter’s company-wide quality strategy, testing standards, QA tooling, CI/CD gates, test infrastructure, and production quality signals. Lead and mentor the QA discipline across engineering squads without initially managing direct reports. Build AI-native testing capabilities, improve test reliability and pipeline efficiency, establish quality accountability, guide testing across the full pyramid, and drive measurable quality improvements through hands-on engineering and cross-functional influence.

Staff-level product software engineer responsible for shaping, architecting, implementing, testing, and launching end-to-end marketplace initiatives. Partners closely with product managers and designers, directs AI coding agents, owns production quality and observability, and measures success through post-launch business metrics. Requires strong technical judgment, autonomous decision-making, cross-functional collaboration, and production experience using AI-assisted development workflows.