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Khan Academy•Mountain View, HI

About The Position

Khan Academy is a nonprofit working to provide a free, world-class education to anyone, anywhere. The Marketing and Acquisition team partners with Marketing, Philanthropy, Sales, and product teams to help users move from discovery to their first meaningful moment on the platform. The Senior Search & AI Discoverability Engineer will own the technical foundation that helps Khan Academy content get found, indexed, cited, and recommended by search engines and AI systems. The role focuses on both traditional organic search and emerging AI-powered discovery surfaces, including Google AI Overviews, Perplexity, ChatGPT, and other LLM-powered platforms. The engineer will research and implement discoverability strategies, conduct audits, scope and ship technical projects, and monitor performance. This is a 12-month, full-time contract opportunity at 40 hours per week and is benefits eligible.

Requirements

At least 5 years of hands-on technical SEO experience, including direct implementation rather than recommendations alone.
Ability to own implementation end-to-end and read, write, and ship code; Go and React are preferred.
Proven ability to work independently while partnering with engineers, cross-functional teams, and leaders to scope, drive, and deliver SEO initiatives.
Working knowledge of how AI-powered search and answer engines retrieve, rank, and cite content, including GEO/AEO/AIO fundamentals.
Proficiency with tools such as Google Search Console, Google Analytics, Semrush, and Ahrefs.
Experience creating actionable insights using analytics tools, including Google Analytics.
Cross-cultural competency, including self-awareness, awareness of others, and the ability to adopt inclusive perspectives, attitudes, and behaviors to support inclusion and belonging.
Motivation by Khan Academy's mission to provide a free, world-class education for anyone, anywhere.

Nice To Haves

Experience at a content-heavy or edtech platform with high page counts and structured content types.
Experience with international SEO.
Experience using Generative AI or LLMs to build products.

Responsibilities

Research and implement GEO/AEO/AIO strategies to optimize content, metadata, and page structure for inclusion in AI-generated responses.
Conduct regular technical audits and turn findings into clearly scoped engineering projects with measurable impact.
Build and execute business cases for product enhancements, combining understanding of learners, teachers, and district administrators with knowledge of search and AI discovery.
Instrument and monitor discoverability metrics across traditional search, including Google Search Console and organic traffic, and emerging AI surfaces.
Partner with Marketing teams to prioritize and sequence discoverability improvements.
Stay current with how LLMs retrieve and cite web content and bring new techniques to the team.
Own implementation end-to-end, including reading, writing, and shipping code to deliver SEO/GEO/AEO/AIO improvements.