Head of SEO & AI Search

Responsibilities

• Deciding the Local estate: which cities get coverage, which categories get a dedicated page, which of the four Local page types (city root, city things-to-do, category-in-city, deal) owns each intent, what supply threshold makes a page viable, and what gets rebuilt, consolidated or removed - with the volume affected, the expected click loss, the expected upside and the revenue effect stated up front
• Designing the GEO x Category architecture and internal linking structure that carries that decision, so the city to category to deal path is explicit, reachable within three to four clicks, with no orphaned pages and no diluted authority - first version of the structure and the build order inside two weeks, then shipped against it
• Owning the SEO engineering backlog as business owner so the funded pages actually get rebuilt: writing acceptance criteria, holding backlog reviews, blocking releases that break the standards you set - a page-weight budget on transferred bytes before interaction, an uncompressed-HTML gate at deploy under the 2 MB Googlebot limit, one media player click-to-play, response time - and escalating when platform ships without SEO sign-off
• Governing third-party scripts on every page type (inventory, owner, purpose, keep or kill) and owning crawler and rendering policy across all markets, including AI crawler policy as a conscious decision rather than a default
• Running the content factory that rebuilds them, as a GenAI production system - structured inputs, research, reusable skills, human checkpoints, QA - behind a page template, an editorial line and a quality gate; stopping publish until the craft bar exists and fixing or removing what does not meet it
• Building content so it travels: pages and assets that Display, SEM, Influencers and Social can reuse. One production cost, four channels
• Driving GEO and AI search at city and category level so the funded pages are the ones that get cited: AI Overviews presence, machine-discovery endpoints, structured deal data, connectors to Claude, ChatGPT and Gemini, and Reddit and LinkedIn where they move citations - measured geolocated rather than nationally
• Reading the battlefield instrumentation that already exists, knowing where it is strong and where it is thin, and deciding from it; rebuilding it is not the first project
• Leading the team and the shared eng partnership day to day: hire and exit, hold reports to weekly output, keep the backlog full and specified, and produce the monthly battlefield MBR the CEO and CFO can act on
• Defaulting to AI agents for audits, content production, monitoring and reporting, and showing the ROI of what you built versus what you consume

Requirements

• Experience owning SEO for a large multi-market website, at the order of 500k+ programmatic pages - that is the scale you have operated at, and our domain is larger than the Local estate alone - including marketplace or local-commerce dynamics: supply density per city and category, local pack behaviour, cannibalisation between near-identical pages, prune and consolidate
• Ability to ship from incomplete data on a messy programmatic or marketplace site: name brief-to-live work with dates and numbers moved, not a six-month framework before the first ticket
• Brief engineers without a translator: write acceptance criteria, hold backlog reviews, and escalate when page weight, HTML size against the 2 MB Googlebot limit, scripts or crawler policy break the standard
• Run GEO and AI search hands-on at city and category level with a measurement method, not in general terms and not from a conference stage
• Measure Local honestly: geolocated SERP measurement rather than national rank tracking, awareness that search console aggregation hides city-level divergence and that page-type aggregation masks cannibalisation
• Design and evaluate a GenAI content production system: structured inputs, research, reusable skills, human checkpoints, QA
• Operate AI-native day to day: walk through your tools, agents and skills, what you personally run every week, and what it replaced
• Hire, develop and exit SEO talent, and hold a shared engineering partnership as the business owner of the backlog
• Absorb a crawl audit or a battlefield dataset, find the three things that matter and state a decision in minutes, explaining why rather than what
• Write a one-page business view (size, capture, competitor, target, three decisions) in English text on the day asked, hold the structure when one number is challenged, and keep pushing cross-functional teams when they stall