Digital Product Manager - -Search, Browse & Recommendations

At 1-800-Flowers.com, we're transforming how customers find, discover, and shop for products across our portfolio of leading brands. We are seeking a Digital Product Manager, Search, Browse & Recommendations to help create intuitive, personalized, and data-driven product discovery experiences that connect customers with the right products at the right time.

This role sits at the intersection of Product Management, Engineering, Data Science, Analytics, UX, Marketing, and Merchandising. You will be responsible for driving initiatives that improve onsite search, category navigation, browse experiences, personalization, and recommendation capabilities that directly impact customer engagement, conversion, and revenue.

What You'll Do

Drive Product Discovery Strategy & Execution

• Support the product roadmap for Search, Browse, Navigation, Personalization, and Recommendation experiences across web and mobile platforms.
• 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.

Optimize Search & Navigation Experiences

• 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.
• Partner with Merchandising and Engineering teams to improve product findability and category navigation.
• Support enhancements to browse experiences that simplify product discovery and improve engagement.

Advance Personalization & Recommendations

• 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.

Collaborate Across the Organization

• 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.

Leverage Data to Drive Decisions

• 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.

The expected range for this position is $80,000-90,000 annually.  Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law.

• 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.

Preferred Qualifications

• Experience with search and discovery platforms such as Constructor, Algolia, Bloomreach, Coveo, or similar technologies.
• Experience supporting personalization, recommendation engines, AI-driven search, or machine learning-powered customer experiences.
• Familiarity with analytics platforms such as Adobe Analytics, Google Analytics, ContentSquare, Quantum Metric, or similar tools.
• Retail, marketplace, or eCommerce experience.
• Experience with experimentation, A/B testing, and conversion rate optimization initiatives.