採用
福利厚生
•Parental Leave
必須スキル
Technical SEO
Product Management
Search engine optimization
Web technologies
At e Bay, 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 e Bay SEO, we develop scalable, creative solutions that boost the experience and value for users discovering e Bay through search, social, and emerging AI-enhanced answer engines. With search changing from links to answers, we are passionate about guaranteeing e Bay’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:
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Lead product efforts to make e Bay content discoverable, trustworthy, and answer-eligible for AI-powered search and generative experiences.
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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.
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Balance near-term SEO wins with long-term investments in AI-readiness and answer-first discovery.
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Serve as the subject-matter expert on technical SEO and Answer Engine Optimization, ensuring guidelines are embedded into platform architecture and tooling.
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Drive initiatives related to crawlability, indexing, rendering, site performance, internal linking, structured data, and entity modeling.
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Define benchmarks and success metrics for SEO and AEO performance, including rankings, traffic quality, rich result coverage, and AI answer visibility.
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Examine data from tools such as Google Search Console, Big Query, SEMrush, Lumar, and internal platforms to inform prioritization and decision-making.
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Use experimentation and analysis to validate impact and iterate on product improvements.
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Stay current on search engine updates, AI search trends, structured data standards, and competitive strategies.
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Proactively assess risks and opportunities from platform changes (e.g., generative SERPs, zero-click answers).
What you will bring:
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6+ years of experience in technical SEO, product management, or related roles.
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Bachelor’s degree in Computer Science, Business, Marketing, or a related field, or equivalent experience.
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Demonstrated understanding of search technologies, generative experiences, or content optimization for LLMs is strongly preferred.
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Deep understanding of SEO fundamentals, search engine algorithms, and modern web technologies (HTML, CSS, JavaScript).
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Practical experience using tools like Google’s Search Console, Google’s Big Query, Google Colab, Screaming Frog, Lumar, SEMrush, Similar Web, Profound and internal analytics platforms.
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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 below:
C**$133,200** - C**$177,800**
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
This job posting relates to an existing vacancy within e Bay.
e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
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eBayについて

eBay
PubliceBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.
10,001+
従業員数
San Jose
本社所在地
$28.1B
企業価値
レビュー
3.8
5件のレビュー
ワークライフバランス
4.2
報酬
2.5
企業文化
4.0
キャリア
2.8
経営陣
3.5
良い点
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
改善点
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
給与レンジ
2,731件のデータ
Junior/L3
Senior/L5
Junior/L3 · Product Manager
260件のレポート
$206,932
年収総額
基本給
$150,529
ストック
$36,440
ボーナス
$19,962
$146,129
$303,004
面接体験
4件の面接
難易度
3.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 75%
ネガティブ 25%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
ニュース&話題
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