Digital Product Manager, Search, Browse & Recommendations

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

Location: Hybrid/New York Metro, Columbus, OH and Atlanta

Department: Digital Product Management

Shape How Millions of Customers Discover the Perfect Gift

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.

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.

Required 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.

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.

If you're passionate about building exceptional digital experiences, leveraging data to solve customer problems, and shaping the future of eCommerce discovery, we'd love to hear from you.

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.

To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full-time team members. Benefit eligibility may vary based on location, average hours worked, and length of service.

Featured Benefits

• Medical insurance
• Vision insurance
• 401(k)
• Disability insurance
• Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.