Paid Search Marketing Manager

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, and they are seeking a Paid Search Marketing Manager to own paid search strategy and execution across their portfolio. This role involves managing significant ad spend while optimizing campaigns for three competing brands in a highly seasonal market.

Responsibilities:

• Own RSA and DSA strategy for core mowing across Google and Bing — creative testing, feed coverage, campaign structure, and bidding
• Run and optimize PMax, AI Search Max, and Demand Gen campaigns alongside core search — understanding where each campaign type fits in the funnel and how they interact
• Define and manage tCPA, tROAS, and portfolio bid strategies across brands and campaign types; audit alignment between bid strategy, goal type, and funnel stage
• Own attribution tracking setup, event tracking implementation, and conversion loop QA — ensuring every touchpoint is measured accurately and the data feeding smart bidding is trustworthy
• Drive landing page testing, QA the full customer experience from click through first service complete, and identify where the funnel leaks between ad click and completed job
• Manage LawnStarter, Lawn Love, and Home Gnome campaigns with clear positioning and minimal cannibalization
• Decide where dollars go across brands, markets, and campaign types to maximize ROAS
• Run structured experiments on bidding strategies, ad copy, landing pages, and audience segments
• Build dashboards, surface insights, and translate data into action

Requirements:

• AI-native. You use AI tools to move faster, whether that's generating ad copy variations, analyzing keyword data, writing scripts, or automating reporting. You're experimenting with AI-powered bidding and creative tools. This is unlikely to be a good fit if you're skeptical of AI or prefer doing everything manually
• Deep in the data. You're happiest inside Google Ads, spreadsheets, and dashboards. You spot patterns others miss and make decisions based on evidence, not intuition. This is unlikely to be a good fit if you prefer high-level strategy without getting into the numbers
• Systems thinker. You don't just optimize individual campaigns; you think about how campaigns interact, how to structure accounts for scale, and how to build processes that don't break as complexity grows. This is unlikely to be a good fit if you prefer ad-hoc optimization over systematic approaches
• Comfortable with ambiguity. You'll often make decisions with incomplete data. You know when to analyze more and when to just run a test. This is unlikely to be a good fit if you need certainty before taking action
• Strong communicator. You can explain what's working and why to people who don't live in Google Ads. You write clear reports, flag risks early, and advocate for your recommendations. This is unlikely to be a good fit if you struggle to translate technical details for non-specialists
• Conversion-tracking fluent. You understand how event tracking, tag management, and attribution models actually work — not just how to read the report, but how to QA the implementation, spot broken conversion loops, and correct data before it corrupts smart bidding. This is unlikely to be a good fit if you rely entirely on platform-reported numbers without questioning whether they're right
• Bias for action. You'd rather launch a test and learn than debate hypotheticals. You ship fast, measure, and iterate. This is unlikely to be a good fit if you need extensive approval processes or prefer lengthy planning cycles