Product Manager, AI-Driven Discovery & Personalization

1-800-FLOWERS.COM, Inc.; New York (NY); Hybrid; USD 80,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Job summary

1-800-Flowers.com, Inc. is hiring a Digital Product Manager, Search, Browse & Recommendations to advance product discovery experiences across web and mobile.

You will own search relevance, navigation, personalization, and recommendations, collaborating with engineering, data science, UX, marketing, and merchandising to improve engagement and revenue. Responsibilities include translating business needs into user stories, prioritizing based on data, managing backlogs, and driving experiments

Qualifications

• Bachelor's degree in Business, Marketing, Information Systems, Computer Science, or a related field
• 3+ years of experience in Product Management, E-Commerce, Digital Experience, Business Analysis, or related disciplines
• Experience managing customer-facing digital products and features
• Familiarity with Agile product development methodologies
• Experience writing user stories, requirements, and acceptance criteria
• Strong analytical and problem-solving skills with the ability to translate data into product decisions
• Excellent communication, collaboration, and stakeholder management skills
• Ability to thrive in a fast-paced, cross-functional environment

Responsibilities

• Drive the product roadmap for Search, Browse, Navigation, Personalization, and Recommendation experiences across web and mobile
• Partner with cross-functional stakeholders to identify customer needs, business opportunities, and experience improvements
• Translate business requirements into user stories, acceptance criteria, and product specifications
• Prioritize initiatives based on customer impact, business value, and data-driven insights
• Manage product backlogs and support delivery from concept through launch
• Improve onsite search experiences, including relevance, autocomplete, filtering, sorting, ranking, and query optimization
• Analyze customer search behavior and identify opportunities to increase search conversion and reduce customer friction
• Collaborate with Merchandising and Engineering teams to improve product findability and category navigation
• Drive initiatives that improve personalized product recommendations and discovery experiences across key customer touchpoints
• Collaborate with Analytics and Data Science teams to evaluate recommendation performance and customer engagement
• Support experimentation and optimization efforts focused on personalization, cross-sell, upsell, and product affinity recommendations
• Help leverage AI-powered capabilities to improve relevance and customer experiences
• Partner closely with Product, Engineering, UX, Analytics, Marketing, Customer Experience, and Merchandising teams
• Participate in Agile ceremonies, sprint planning, backlog refinement, release planning, and product reviews
• Coordinate testing and user acceptance activities to ensure high-quality product releases
• Communicate progress, risks, dependencies, and recommendations to stakeholders and leadership
• Monitor and analyze KPIs such as search conversion, click-through rates, recommendation engagement, average order value, and revenue attribution
• Conduct analyses to identify customer pain points and opportunities for optimization
• Support A/B testing and experimentation initiatives that improve customer engagement and business outcomes
• Develop insights and recommendations that inform product strategy and roadmap priorities

Skills

Product management

E-commerce

Agile methodologies

User stories

Data analysis

Stakeholder management

Communication

Cross-functional collaboration

Education

Bachelor's degree in Business/Marketing/Information Systems/CS

Tools

Constructor

Algolia

Bloomreach

Coveo

Adobe Analytics

Google Analytics

Job description

1-800-Flowers.com, Inc. is hiring a Digital Product Manager, Search, Browse & Recommendations to advance product discovery experiences across web and mobile.

You will own search relevance, navigation, personalization, and recommendations, collaborating with engineering, data science, UX, marketing, and merchandising to improve engagement and revenue. Responsibilities include translating business needs into user stories, prioritizing based on data, managing backlogs, and driving experiments