Sr. Product Manager - Recs/AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$177K-$220K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

93% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Sr. Product Manager - Recs/AI United States of America - Remote / Home Office Job Summary: The Senior Product Manager - Recommendations & AI will lead the evolution of our e-commerce platform's personalization and AI-driven experiences. This role will focus on leveraging advanced recommendation algorithms and generative AI to deliver highly relevant and engaging customer journeys across all platforms (desktop, mobile web, and app). You will be responsible for analyzing data, defining a strategic roadmap, and driving the implementation of AI-powered features that enhance product discovery, personalization, and overall customer satisfaction. This role requires close collaboration with cross-functional teams, including engineering, data science, UX/UI, and marketing, to ensure seamless integration and execution of AI initiatives. Job Expectations: - Drive AI-Powered Personalization: Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI to create personalized content and experiences that enhance product discovery and conversion. - Generative AI Innovation: Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities. - Data-Driven Optimization: Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features. - Product Roadmap & Strategy: Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs. - User Research & Insights: Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development. - Cross-Functional Collaboration: Collaborate with engineering, data science, UX/UI, and

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