Digital Product Manager
Listed on 2026-10-05
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Marketing / Advertising / PR
Ecommerce, Digital Marketing
Digital Product Manager – Growth
Boelter | Pewaukee, WI | Full-Time
Belong to the Boelter community that brings people together...
We value the individual where your unique perspective builds a stronger community and fuels our passion for authentic relationships.
For 95+ years, Boelter has helped customers create unforgettable experiences across the restaurant supply, hospitality, and beverage industries — from commercial kitchen design to tabletop styling. We’re looking for a Digital Product Manager to join our Digital Product Team and drive commerce, growth, and revenue outcomes across our digital ecosystem.
About the RoleThis role owns the digital experiences that grow online revenue, improve conversion, and deepen customer lifetime value across Boelter's B2B and B2C channels — from the
moment a customer discovers Boelter online through final purchase.
What You’ll Do- Own the product roadmap for commerce and growth, tying features directly to revenue, AOV, and acquisition targets
- Manage a scrum team within a SAFe environment, owning backlog prioritization, sprint planning, and PI Planning
- Serve as the key liaison between business stakeholders and product/engineering teams
- Manage the end-to-end funnel — discovery, consideration, and purchase — optimizing each stage to reduce friction and drive conversion
- Own onsite search performance, including relevance tuning, faceted filtering, and search-driven revenue
- Drive upsell/cross-sell strategy through recommendation engines, A/B testing, and merchandising collaboration
- Set UX standards for navigation, PDPs, PLPs, cart, and checkout, partnering with design and engineering
- Lead a continuous experimentation roadmap using analytics, heatmaps, and user research
- Develop personalization and CLV strategies, including B2B account-based features like contract pricing and custom catalogs
- Online revenue growth, funnel conversion by stage, search conversion rate, recommendation-attributed revenue, AOV, customer acquisition/retention, CLV, and experiment win rate
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