About PHOENIX PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos brands worldwide. About ExpressExpress is a multichannel apparel brand dedicated to a design philosophy rooted in modern, confident and effortless style whether dressing for work, everyday or special occasions. Since its launch in 1980, the brand has embraced a design philosophy rooted in modern, confident and effortless style. Express ensures you look and feel your best, wherever life takes you. The Company operates over 400 retail and outlet stores in the United States and Puerto Rico, the express.com online store and the Express mobile app. About BonobosOur Bonobos menswear brand is known for being a style instigator and offering perfect-fit risks through our innovative retail model and personalized experience. Launched online in 2007 with its signature line of chinos, Bonobos now offers a variety of styles available to order online and to try on at any one of our 50 Guideshop locations and at www.bonobos.com. Our Guideshops are in-real-life stores that deliver one-on-one service and expert fit advice. Don't think traditional retail, Bonobos is something you haven't seen before.

POSITION OVERVIEW

The Senior Product Manager, Digital will serve as the key architect of the end-to-end customer journey across Express and Bonobos, synthesizing web, mobile, and physical store touchpoints—including retail locations and Bonobos Guideshops—into a cohesive omnichannel ecosystem. Operating at the intersection of technology, data science, merchandising, and digital operations, you will define and execute the strategic roadmap for core commerce funnels, customer acquisition, loyalty platforms, and post-purchase pathways. By collaborating with Engineering, Data Science, and Marketing teams, you will leverage both traditional product management frameworks and AI-powered personalization (such as semantic search and recommendation engines) to build scalable, high-conversion features that drive customer retention, brand loyalty, and measurable growth across both brands.

KEY RESPONSIBILITIES

• Visionary Roadmap Development: Establish a long-range strategy for AI-driven personalization. Manage a complex framework utilizing proprietary datasets, machine learning models, and external technology solutions to optimize customer LTV, retention, and acquisition.
• System Architecture & Deployment: Oversee the full lifecycle of recommendation engines across digital platforms, such as mobile apps, email, and commerce pages (Cart, PLP, PDP, and homepage). Engineer filtering and ranking logic to boost conversion rates and product visibility.
• Customer Acquisition & Funnel Conversion: Drive continuous conversion rate optimization (CRO) across landing pages, product listing pages (PLPs), search discovery, and the shopping cart. Own the global checkout architecture to minimize purchase friction and increase Average Order Value (AOV).
• Loyalty, Retention & Lifecycle Messaging: Lead the product strategy for digital loyalty programs and account portals. Partner with CRM and Marketing teams to leverage marketing automation platforms (email, SMS, and push notifications) to deliver targeted customer lifecycle campaigns that increase customer retention and Lifetime Value (LTV).
• Post-Purchase Experience & Operations: Own the digital customer experience from order confirmation to doorstep delivery. Define the roadmap for transaction tracking, shipping alerts, order routing, and modern omnichannel fulfillment pathways like Buy Online, Pick Up In Store (BOPIS), Curbside Pickup, and Ship-to-Store.
• Vendor Ecosystem & Strategic Sourcing: Actively evaluate, pilot, and manage third-party software vendors (e.g., search engines, payment gateways, review platforms, loyalty engines, and CRM systems). Run structured RFPs and Proof of Concept (PoC) tests to balance proprietary builds against external integrations.
• Experimentation & Growth Culture: Establish a rigorous culture of experimentation. Plan, launch, and analyze systematic A/B and multivariate tests spanning acquisition pages, checkout variants, post-purchase flows, and lifecycle campaigns to validate customer value and financial return.
• Efficiency & Return Mitigation: Utilize AI/ML to minimize product returns—specifically those related to fit—extending personalization beyond top-line revenue. Prioritize LTV cohorts and return reduction as core success metrics.
• Business Case Modeling & Stakeholder Alignment: Translate complex technological initiatives and platform performance metrics into clear, executive-friendly business cases and financial metrics (CAC, LTV, Conversion, Return Rate Reduction) to align senior leadership across the Phoenix brands.

REQUIRED EXPERIENCE & QUALIFICATIONS

• Educational Background: Bachelor’s Degree in Business, Computer Science, IT, or a related field; or equivalent practical experience.
• Experience: 7+ years of Digital Product Management experience, with a proven track record of owning consumer-facing eCommerce products, AI/ML-powered search relevance and recommendation systems, customer checkout funnels, loyalty platforms, or digital marketing technologies.
• Retail/Omnichannel Context: Prior background working in retail eCommerce, multi-brand consumer platforms, or omnichannel environments (such as integrating physical point-of-sale systems with digital profiles) is highly preferred.
• Frictionless Execution: Demonstrated success scaling digital products from pilot to high-volume coverage, resulting in measurable customer conversion gains or transactional efficiency.
• Analytical and Results-Driven: Mastery of data-driven decision-making, using web analytics (e.g., GA4), customer metrics (CAC, AOV, LTV), and statistical hypothesis testing (A/B testing).
• Collaborative Leadership: Outstanding communication skills with a proven capacity to lead and align cross-functional teams of Software Engineers, UI/UX Designers, Data Analysts, and business stakeholders without direct reporting authority.
• Platform Familiarity: Familiarity with modern eCommerce platforms, Order Management Systems (OMS), Customer Data Platforms (CDPs), or content management system (CMS) integrations.
• Advanced Personalization & AI/ML Expertise: Possess a deep understanding of varied personalization strategies, including hybrid models, content-based filtering, and collaborative techniques alongside modern AI/ML methodologies.