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
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
Identify and scope high-value tools, templates, calculators, downloadable PDFs, 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.