Responsibilities

• Own product-level SEO and AI Search strategies, using performance data, competitor deep dives, and audience insights to prioritize opportunities, close coverage gaps, and improve content effectiveness over time — ultimately driving qualified traffic that converts into Mercury account applications and revenue.
• Partner cross-functionally with Social, Product, Product Marketing, Engineering, and Community teams to turn SEO and AEO opportunities into shipped work across channels — including blog content, YouTube scripts, social, and community surfaces
• Own the technical SEO/AEO roadmap for Mercury.com, working closely with Engineering to improve page speed, rendering, and site architecture and experiment with new delivery techniques to make the site accessible and fast for both humans and bots
• Be a trusted and close partner with the Stories team, helping them to build longitudinal content roadmaps that balance the certainty of long-term planning with flexibility for emerging trends, search shifts, and business priorities
• Build repeatable systems, AI workflows, and guidelines that increase the consistency, efficiency, and impact of Mercury’s SEO and AEO efforts
• Drive SEO-driven evergreen content optimizations, working with content partners to improve performance while preserving writing quality, usefulness, and brand standards
• Strengthen how Mercury products are surfaced across owned and earned media by identifying targeted placement opportunities, building authority, and helping search and answer engines connect upstream topics to Mercury’s solutions.
• Identify and scope high-value tools, templates, calculators, and other multi-format assets that make Mercury content more useful, shareable, linkable, and cite-worthy
• Relentlessly test new plays for improving traditional and AI search traffic and visibility — from new page types to edge caching for bots — scaling what works, stopping what doesn’t, and feeding learnings back into team-wide strategy

Requirements

• 5+ years of SEO experience, with 2-3 years focused on AEO, ideally in a fast-moving startup environment
• Deep technical fluency paired with a clear grasp of how LLMs interpret and weight content differently from traditional search engines
• A track record of turning strategy into shipped, high-quality work independently — setting your own priorities rather than waiting to be told
• Hands-on experience with AI agents and automation tools, with a builder's instinct for turning them into repeatable systems
• Sharp, data-informed judgment for knowing what to prioritize, what to scale, and what to cut