{"id":2771,"date":"2026-07-20T12:03:18","date_gmt":"2026-07-20T12:03:18","guid":{"rendered":"https:\/\/tradefinder.help\/?p=2771"},"modified":"2026-07-20T12:03:18","modified_gmt":"2026-07-20T12:03:18","slug":"lawnstarter-senior-product-manager-service-delivery","status":"publish","type":"post","link":"https:\/\/tradefinder.help\/?p=2771","title":{"rendered":"LawnStarter: Senior Product Manager, Service Delivery"},"content":{"rendered":"<p>\n  <strong>Headquarters:<\/strong> United States<br \/>\n    <br \/><strong>URL:<\/strong> <a href=\"http:\/\/lawnstarter.com\/\" target=\"_blank\" rel=\"noopener\">http:\/\/lawnstarter.com<\/a>\n<\/p>\n\n<p><strong>About LawnStarter<\/strong><\/p>\n<p>LawnStarter is the nation&#8217;s leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We&#8217;re expanding beyond lawn care to become the one-stop shop for all home services \u2014 operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.<\/p>\n\n<p><strong>About Service Delivery at LawnStarter<\/strong><\/p>\n<p>We make a promise on both sides of the marketplace: customers get a job done well, and Pros get paid fairly for doing it. Service delivery is everything that happens after a customer books \u2014 keeping that promise through completion, support, and the moments when things don&#8217;t go to plan.<\/p>\n<p>This is the hard part of running a marketplace: we broker work we can&#8217;t directly see, between two parties whose interests sometimes collide. Get it right and people stay for years. Get it wrong and you lose customers, Pros, or both. Trust is the product \u2014 and increasingly, the systems that protect it are AI-powered.<\/p>\n\n<p><strong>Requirements<\/strong><\/p>\n\n<p><strong>The Role<\/strong><\/p>\n<p>This is a broad Senior PM role on the quality, trust, and communication side of service delivery \u2014 setting the right expectations on both sides, steering Pros to deliver great work, resolving conflicting interests fairly, and making our AI-powered support genuinely good. You&#8217;ll work on live, high-scale systems with a mandate to make them better.<\/p>\n<p>Service delivery is a big area with more than one PM in it. You&#8217;ll work alongside them; your center of gravity is the trust between both sides of the marketplace.<\/p>\n\n<p><strong>What makes this role different:<\/strong><\/p>\n<ul>\n<li>\n<strong>It&#8217;s a real area of impact, not a single feature.<\/strong>\u00a0You&#8217;ll shape strategy, policy, and the systems behind a whole slice of the post-booking experience \u2014 not optimize one screen.<\/li>\n<li>\n<strong>It&#8217;s inherently two-sided.<\/strong>\u00a0You work for customers and Pros at once, and you&#8217;re often the one arbitrating between them. Pleasing one side at the other&#8217;s expense is failure.<\/li>\n<li>\n<strong>AI is a core tool, not a side project.<\/strong>\u00a0Support and outreach already run on AI. You&#8217;ll push how far that goes \u2014 and build the evals that prove it&#8217;s good before we trust it with more.<\/li>\n<\/ul>\n<p><strong>Problems to Solve<\/strong><\/p>\n<p><strong>Getting expectations right before the work ever starts.<\/strong>\u00a0Most service failures aren&#8217;t bad work \u2014 they&#8217;re mismatched expectations. The grass grew a tier past what was booked; &#8220;deep clean&#8221; meant something different to each side; the yard didn&#8217;t match the photos. You&#8217;ll make sure what&#8217;s promised to the Pro matches what the customer actually expects, that those expectations are the\u00a0<em>right<\/em>\u00a0ones for the property and service, and that Pros are steered toward delivering great work. Every mismatch you prevent up front is a conflict you never have to resolve later.<\/p>\n<p><strong>Arbitrating genuinely competing interests.<\/strong>\u00a0A customer wants a date the Pro can&#8217;t commit to. The grass is long enough to need a different price tier than booked. The job wasn&#8217;t what the listing photos suggested. These aren&#8217;t bad actors \u2014 both sides are right from where they sit, and the marketplace has to make a call. You&#8217;ll build the policies and the (increasingly AI-assisted) decision systems that resolve these fairly and consistently at scale \u2014 and make the judgment call yourself when there&#8217;s no clean answer.<\/p>\n<p><strong>Making AI trustworthy enough to do more \u2014 which means evals.<\/strong>\u00a0Customer-side AI already handles ~34% of support at roughly a penny per message, and Pro-side support is still to be built. Expanding either is gated on one hard, ongoing, technical thing: can we\u00a0<em>prove<\/em>\u00a0the AI resolved a case rather than just closed it? You&#8217;ll own the eval systems \u2014 golden datasets, automated judges, regression detection, human-review sampling \u2014 that define what &#8220;good&#8221; means for an open-ended conversation, gate every change, and catch quality drift before a customer feels it. This is the deep, unglamorous work that makes a slick demo safe to scale.<\/p>\n<p><strong>Messaging that connects both sides \u2014 and quietly protects the marketplace.<\/strong>\u00a0The inbox is how 500K+ customers and 20K+ Pros coordinate across all three brands \u2014 and the record we lean on when something goes sideways. It also has to\u00a0<em>moderate<\/em>: catching when a relationship is drifting off-platform (disintermediation) or a conversation is heating into conflict. You&#8217;ll keep communication easy for the legitimate 99% while spotting the patterns that quietly cost us customers, Pros, and revenue.<\/p>\n\n<p><strong>What Success Looks Like (Year 1)<\/strong><\/p>\n<ul>\n<li>\n<strong>Expectations match on both sides<\/strong>: Pros know exactly what each job requires, customers get what they expected, and fewer jobs go sideways from misalignment in the first place.<\/li>\n<li>\n<strong>Competing interests resolve faster and more fairly<\/strong>: A clearer resolution model with measurable consistency \u2014 and more of these conflicts prevented up front by better expectation-setting.<\/li>\n<li>\n<strong>AI is provably good, and does more<\/strong>: An eval suite gates AI changes so no quality regression ships unseen \u2014 and on that foundation, higher resolution on customer support plus a first version of Pro-side AI support live.<\/li>\n<li>\n<strong>Messaging connects and protects<\/strong>: Measurable improvement in messaging reliability and engagement, plus working moderation that catches off-platform leakage and conflict early.<\/li>\n<\/ul>\n<p><strong>Who You Are<\/strong><\/p>\n<p><strong>AI-native.<\/strong>\u00a0You use AI daily in your own work, and you have real intuition for how to\u00a0<em>measure<\/em>\u00a0whether an AI experience is actually good \u2014 not just whether it shipped. You&#8217;ve built or owned evals, or you&#8217;re hungry to, because you know that&#8217;s what separates a trustworthy agent from a demo. This is unlikely to be a good fit if you treat LLM quality as a vibe check or as engineering&#8217;s problem to figure out.<\/p>\n<p><strong>Comfortable making two-sided calls.<\/strong>\u00a0You can hold both the customer&#8217;s and the Pro&#8217;s interest in your head at once, and you&#8217;re willing to make the call when they conflict \u2014 clearly, and with a rationale you&#8217;d defend to either side. This is unlikely to be a good fit if you&#8217;re a people-pleaser who can&#8217;t say no, or if you instinctively optimize for one side and forget the other exists.<\/p>\n<p><strong>You design for the right outcome up front.<\/strong>\u00a0You&#8217;re not satisfied grading work after the fact \u2014 you&#8217;d rather get the expectations right at the start so the job goes well in the first place, for both the customer and the Pro. This is unlikely to be a good fit if you gravitate to measuring and auditing results over shaping them before they happen.<\/p>\n<p><strong>A marketplace systems thinker.<\/strong>\u00a0You see service delivery as a system of incentives, policies, and feedback loops \u2014 not a set of screens \u2014 and you design rules that hold up across edge cases and bad actors. This is unlikely to be a good fit if your instinct is to solve every problem with UI rather than incentives and policy.<\/p>\n<p><strong>Data-informed.<\/strong>\u00a0You live in the numbers that matter here \u2014 CSAT, resolution rate, eval scores, churn, deflection \u2014 and you know when the data is thin enough that a judgment call is needed. This is unlikely to be a good fit if you either ignore data or refuse to move without perfect information.<\/p>\n<p><strong>Technically fluent.<\/strong>\u00a0You partner with engineers on how AI and messaging systems work and give real feedback on design tradeoffs. You don&#8217;t write production code, but you don&#8217;t treat the systems as a black box either. This is unlikely to be a good fit if you need everything translated out of technical terms first.<\/p>\n\n<p><strong>This Role Is NOT<\/strong><\/p>\n<ul>\n<li>\n<strong>A support PM role.<\/strong>\u00a0Support is one surface of a much broader product area. If you picture your days as managing a ticket queue or a help center, this isn&#8217;t that.<\/li>\n<li>\n<strong>The internal-AI role.<\/strong>\u00a0We have a separate PM driving AI adoption in internal tooling. This role is about AI in the\u00a0<em>user-facing<\/em>\u00a0service-delivery experience \u2014 customers and Pros, not internal teams.<\/li>\n<li>\n<strong>A greenfield 0\u21921 role.<\/strong>\u00a0These systems are live and serving hundreds of thousands of people today. You&#8217;ll improve and re-architect under real load, not build from a blank page.<\/li>\n<li>\n<strong>A single-audience role.<\/strong>\u00a0You serve \u2014 and arbitrate between \u2014 both customers and Pros. If you only want to think about one side of the marketplace, the tension here will be uncomfortable.<\/li>\n<\/ul>\n<p><strong>Benefits<\/strong><\/p>\n<ul>\n<li>\n<strong>Base salary: <\/strong>$140,000 &#8211; $185,000<\/li>\n<li>\n<strong>Equity<\/strong>: The systems you&#8217;ll work on touch every customer and Pro \u2014 quality, trust, and retention all run through service delivery. We want you invested in the long-term outcome.<\/li>\n<li>\n<strong>Healthcare<\/strong>: Medical, dental, and vision<\/li>\n<li>\n<strong>Fully remote<\/strong>: Work from anywhere in the US. This role requires deep focus and close partnership with engineering and ops \u2014 we trust you to manage your environment.<\/li>\n<li>\n<strong>Flexible PTO:<\/strong>\u00a0We Focus On Results<\/li>\n<\/ul>\n<p><em>LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.<\/em><\/p>\n<p><strong>To apply:<\/strong> <a href=\"https:\/\/weworkremotely.com\/remote-jobs\/lawnstarter-senior-product-manager-service-delivery\" target=\"_blank\" rel=\"noopener\">https:\/\/weworkremotely.com\/remote-jobs\/lawnstarter-senior-product-manager-service-delivery<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Headquarters: United States URL: http:\/\/lawnstarter.com About LawnStarter LawnStarter is the nation&#8217;s leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We&#8217;re expanding beyond lawn care to become the one-stop shop for all home services \u2014 operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2771","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"featured_image_url":[],"post_author":"sonifashionhouse@gmail.com","assigned_categories":"Uncategorized","jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/tradefinder.help\/index.php?rest_route=\/wp\/v2\/posts\/2771","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tradefinder.help\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tradefinder.help\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tradefinder.help\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tradefinder.help\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2771"}],"version-history":[{"count":0,"href":"https:\/\/tradefinder.help\/index.php?rest_route=\/wp\/v2\/posts\/2771\/revisions"}],"wp:attachment":[{"href":"https:\/\/tradefinder.help\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2771"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tradefinder.help\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2771"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tradefinder.help\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2771"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}