Senior Product Manager, Search Personalization
Leads strategy and execution for Pinterest’s Search Personalization products, improving search relevance and connecting user intent to inspiration and commerce. Requires strong product sense, AI/ML product experience, analytical decision-making, and cross-functional leadership.
About the job
Responsibilities
- Develop and execute a cohesive Search Personalization strategy and roadmap in partnership with Product, Engineering, Design, and other cross-functional stakeholders.
- Incorporate innovative Search Personalization features into models that leverage user intent to help users find inspiration, browse products, and find items to buy.
- Investigate and hypothesize opportunities to improve search-result relevance.
- Partner with engineering, data science, design, research, marketing, legal, strategy, and product management teams to define, measure, and drive execution.
Requirements
- Strong product sense and the ability to collaborate with stakeholders, secure buy-in, and set a long-term vision.
- Demonstrated success in product management or related experience, particularly building AI/ML-based products at fast-growing companies.
- Proven ability to lead in ambiguous environments and align across functions, teams, and organizations to deliver on time.
- Strong analytical skills for defining product strategy and driving decisions using data analysis and qualitative user feedback.
- Technical strength and the ability to partner closely with engineering teams working with technologies including machine learning.
- Bachelor's degree in a relevant field such as computer science, or equivalent experience.
Nice-to-Have
- Previous experience in search.
Compensation and Benefits
- Base salary: $139,764–$287,749 USD.
- Eligible for equity.
- Benefits and company culture information are available through Pinterest's recruiting materials.
Skills
Search Personalization, Product Strategy, Product Roadmapping, Artificial Intelligence, Machine Learning, Data Science, Search Relevance, Product Analytics, User Research, Computer Science
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