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SEO & AEO Product Manager

Job in Toronto, Ontario, C6A, Canada
Listing for: eBay
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    SEO, Data Analyst, Digital Marketing, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About The Team And

The Role

At eBay SEO, we develop scalable, creative solutions that boost the experience and value for users discovering eBay through search, social, and emerging AI‑enhanced answer engines. With search changing from links to answers, we are passionate about guaranteeing eBay’s content, data, and experiences are easy to find, accurate, and reliable across traditional search engines and AI‑based platforms.

We are seeking a SEO & AEO Technical Product Manager to own the strategy and development of products. These products improve discoverability on classic search engines (Google, Bing) and on answer engines or AI search platforms like generative search experiences and LLM‑powered assistants.

This position combines technical SEO, AI search optimization, and product management. You will work closely with engineering, data science, creative, and content teams. Together, you will develop systems that support scalable crawlability, index‑ability, structured understanding, and machine‑readable signals for ranking and answer generation.

The ideal candidate has a strong proficiency in how search engines and AI models process, understand, and present information. They can translate this knowledge into clear product strategies, detailed requirements, and measurable results.

What You Will Accomplish
  • Lead product efforts to make eBay content discoverable, trustworthy, and answer‑eligible for AI‑powered search and generative experiences.
  • You will define and complete the SEO & AEO product roadmap, aligning initiatives with business goals, search platform evolution, and discovery trends powered by artificial intelligence.
  • Balance near‑term SEO wins with long‑term investments in AI‑readiness and answer‑first discovery.
  • Serve as the subject‑matter expert on technical SEO and Answer Engine Optimization, ensuring guidelines are embedded into platform architecture and tooling.
  • Drive initiatives related to crawlability, indexing, rendering, site performance, internal linking, structured data, and entity modeling.
  • Define benchmarks and success metrics for SEO and AEO performance, including rankings, traffic quality, rich result coverage, and AI answer visibility.
  • Examine data from tools such as Google Search Console, Big Query, SEMrush, Lumar, and internal platforms to inform prioritization and decision‑making.
  • Use experimentation and analysis to validate impact and iterate on product improvements.
  • Stay current on search engine updates, AI search trends, structured data standards, and competitive strategies.
  • Proactively assess risks and opportunities from platform changes (e.g., generative SERPs, zero‑click answers).
What You Will Bring
  • 6+ years of experience in technical SEO, product management, or related roles.
  • Bachelor’s degree in Computer Science, Business, Marketing, or a related field, or equivalent experience.
  • Demonstrated understanding of search technologies, generative experiences, or content optimization for LLMs is strongly preferred.
  • Deep understanding of SEO fundamentals, search engine algorithms, and modern web technologies (HTML, CSS, JavaScript).
  • Practical experience using tools like Google’s Search Console, Google Big Query, Google Colab, Screaming Frog, Lumar, SEMrush, Similar Web, Profound, and internal analytics platforms.
  • Familiarity with structured data, schema.org, entity optimization, and machine‑readable content frameworks.
Additional Details

The base pay range for this position is expected in the range…

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