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About LawnStarter

LawnStarter is the nation's leading on demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We are expanding beyond lawn care to become the one stop shop for all home services. Becoming the most discovered, cited, and trusted brand in our category is how we get there.

About the Growth Team

Growth owns the full acquisition funnel across our brand portfolio. Some of the most recognized names in outdoor services, reaching millions of homeowners every year. SEO and organic discovery are foundational to how customers find us, and this role leads the team responsible for making that happen at scale. You will report directly to the CMO and operate at the intersection of content, technical SEO, product, and the emerging world of AI powered search.

The Challenge

The game changed. Rankings are no longer the prize. Recommendation is. When a homeowner asks ChatGPT, Claude, Perplexity or Google AI who to hire, our job is to be the answer. Not page one. The answer.

That takes two bets running together. First, brand presence across every surface where homeowners and machines form trust. PR, journalists, creators, community platforms, review sites, Reddit, Nextdoor, partner ecosystems. Authority comes from the network, not from the page. Second, exposing first party data nobody else can publish. Pricing patterns. Completion times. Regional demand. Marketplace outcomes. That is the kind of original, expert evidence AI systems reward and that commodity SEO can no longer produce.

We have a talented team and strong brand equity. What we need is the leader who already operates this way and has the results to prove it. Not one we have to convince.

The Role

You will own organic search and AI discovery across our brand portfolio. You set the vision, the roadmap, and the standards for how we compete in a world where Google, ChatGPT, Perplexity, and AI Mode are all becoming primary discovery surfaces.

The team is small by design. One SEO analyst. A lean research and editorial group that produces data driven studies and guides. A no code publishing platform that gives you direct control of thousands of pages. Several strategic functions sit intentionally unowned and waiting for you to define. AI visibility tracking. Editorial direction. Content pruning. Expert sourcing strategy. You decide what to keep, what to retire, and what to build. We are scaling leverage, not headcount.

This is a strategic, high visibility role. You will shape company wide priorities, partner with engineering, data, product, design, and executive leadership, and be the internal authority on where organic discovery is heading and what it takes to win.

What makes this role different.

• You are building a new playbook, not optimizing an old one. The opportunity requires fresh thinking about how technical SEO, content, structured data, and AI visibility work together in 2026 and beyond.
• Multiple major brands, millions of users, real revenue stakes. Organic drives a meaningful share of our business. The decisions you make here compound across our entire brand portfolio at scale.
• AI Search is the frontier. Google AI Overviews, ChatGPT, Perplexity. You are not just optimizing for blue links anymore. This role requires genuine expertise in how LLMs and answer engines discover, evaluate, and cite content.
• You have leverage. A small internal core, a no code publishing platform that gives you direct control of thousands of city, near-me, service, and informational pages (including schema markup and meta data), and first party data nobody else in the category can publish. No engineering dependency. No sprint queues. Move at the speed of a hypothesis. Direct what is here. Build what is missing. Decide what to add.

What You'll Own

• Organic strategy across our brand portfolio. The vision, roadmap, and standards for how our brands compete in organic search and AI powered discovery.
• AI Search visibility. Establishing our brands as cited, authoritative sources in Google AI Overviews, ChatGPT, Perplexity, and emerging conversational search surfaces. Through answer first content architecture, entity authority, and structured data that AI systems can discover, extract, and trust.
• Technical SEO and architecture. Large scale technical infrastructure, Core Web Vitals, structured data, crawl efficiency, and the product architecture decisions that drive organic performance.
• Content strategy and production. Directing the editorial work that produces the pages, guides, studies, and resources that rank, get cited, and convert.
• Team leadership and hiring. Assessing the current core, making the talent calls that need to be made, and building the team you need for the new direction.
• Cross functional partnership. Working closely with Engineering, Analytics, and Data to build the technical and measurement foundation organic needs to operate at scale.

Problems to Solve

Recovering and growing traffic at scale One of our brands has seen significant traffic decline. Rankings that used to sit in positions 3 to 5 have slipped to page 2. Diagnosing the root cause is the first order of business. Whether the driver is algorithm shifts, content quality, technical debt, AI Search cannibalization, or some combination, the recovery plan needs to address it. The answer will not be simple, and it will not be found by outsourcing it to a framework.

Winning in AI powered discovery The rules of organic visibility are being rewritten in real time. Google AI Overviews, ChatGPT, and Perplexity are becoming primary discovery surfaces for the queries that matter most to us. Most brands are still figuring out how to show up in these environments. How do you build a structured, repeatable approach to AI Search visibility and turn it into a competitive advantage before others catch up?

Going from defense to offense For the last several years it has felt like we have been playing defense as the landscape shifted around us. The old playbook worked until it didn't. This role flips the posture. Go back on offense. Dominate the next era of organic discovery across more verticals than before. How do you go from reacting to leading in the first 90 days?

Defining how to measure AI Search Traditional SEO has clear signals. Rankings, impressions, clicks. AI Search visibility is murkier, but the signals are there if you know where to look. Log data, crawler activity, and emerging tooling can surface a lot, but not all are wired up yet. How do you build a measurement approach that turns raw signals into a reliable view of AI Search visibility, one you can actually use to make decisions and demonstrate progress?