Product Manager, Search

🕒 il y a 1 mois

🏄 California – Distant

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💵 $232 000 - $282 000 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

✅ Responsable Produit

🦅 Parrain de Visa H1B

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👻 Score fantôme 13%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Airbnb

Airbnb

5001 - 10000 employés

Fondée en 2007

✈️ Tourisme

📦 Logistique

🛍️ eCommerce

💰 Post-IPO Equity en 2020-12

Travel • Logistics • eCommerce

Airbnb est une place de marché en ligne mondiale qui met en relation des personnes cherchant un hébergement avec des hôtes proposant des options de logement uniques et variées, souvent dans des propriétés résidentielles. Les utilisateurs peuvent réserver des espaces allant d'appartements d'une chambre entière à des maisons complètes et des hôtels de charme. Airbnb propose également des expériences, permettant aux invités de réserver des activités organisées par des locaux, offrant ainsi une expérience de voyage authentique.

Description

• Define and drive the long-term vision and roadmap for Airbnb search, including natural-language, conversational search, query understanding, and intelligent ranking. • Own the end-to-end guest search experience from expressed intent to finding the right option. • Partner with engineering, applied ML, and data science teams to design, prototype, and ship AI-powered search experiences. • Use quantitative analysis and A/B testing to validate improvements in relevance, conversion, and guest satisfaction. • Translate ambiguous guest problems into prioritized product requirements. • Collaborate with design and research to understand guest search behavior and identify opportunities for AI to reduce friction. • Work cross-functionally with Host-side and Trust teams to surface inventory fairly and accurately. • Communicate roadmap, results, and trade-offs to engineering partners and leadership.

🎯 Exigences

• 10+ years of consumer product management experience with end-to-end product ownership • Experience working on search, discovery, ranking, or recommendation systems strongly preferred • Excitement about applying modern AI and ML capabilities, including LLMs, semantic search, and conversational interfaces • Strong business acumen and ability to use data, research, and experimentation for product strategy and decisions • Ability to work closely with ML/data science teams and understand model-driven product trade-offs • Excellent problem-solving, communication, and collaboration skills across engineering, design, data science, and other cross-functional teams • User-centered mindset focused on how guests search and where they encounter friction

🏖️ Avantages

• Bonus eligibility • Equity eligibility • Benefits • Employee Travel Credits • Disability-inclusive application and interview accommodations

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