Digital Product Manager

EVEREVE inspires women to move forward in their fashion so that they feel fully alive. By offering modern, curated trends from 150+ brands, including our own best-selling line—along with warm, genuine advice—we deliver a styling experience made personal. Our 110+ stores, booming e-commerce business, and fast-growing subscription box service, Trendsend, reach over two million customers every year.

Living our core brand values and treating everyone with HEART (humility, empathy, authenticity, relationships, tenacity) creates a shared purpose and collaborative community—and it's also a key part of our success. Join our team to help shape the future of an ever-growing, ever-evolving brand

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EVEREVE is seeking a Digital Product Manager to own the end-to-end digital shopping experience across desktop, mobile web, and app, with emphasis on discovery, acquisition, and the first paths customers take into product. This role will translate customer needs, business goals, data, AI opportunities, and technical feasibility into a clear roadmap that improves how customers find, evaluate, and engage with EVEREVE product. As Product Management continues to evolve at EVEREVE, this person will bring strong product experience, operating rigor, and practical AI fluency to help build scalable, enterprise-level product practices.

Duties & Responsibilities

• Own the product strategy and roadmap for EVEREVE’s desktop, mobile web, and app shopping experiences, including search, navigation, collections, landing pages, content surfaces, ad-to-site journeys, and guided entry flows.
• Define and move key discovery and acquisition outcomes, such as first-touch to product interaction, search-to-product rate, navigation engagement, organic session growth, and conversion quality.
• Lead SEO, AEO, and GEO product strategy by partnering with Engineering, Analytics, Marketing, and Site Merchandising on crawlability, site structure, schema, product data enrichment, and AI-driven discovery channels.
• Build stronger entry experiences across paid, organic, email, social, and app traffic through intent-based routing, dynamic landing experiences, and personalized shopping paths.
• Use funnel data, session behavior, search queries, navigation patterns, customer feedback, and AI-enabled insights to identify opportunities and translate them into prioritized product initiatives.
• Own experimentation end-to-end, from hypotheses and success metrics through launch, readout, and iteration.
• Lead multi-phase initiatives across Engineering, UX, Analytics, Site Merchandising, Creative, Marketing, Stores, external technology partners, and senior stakeholders.
• Identify practical AI applications that improve discovery, personalization, product data quality, content efficiency, decision-making, and operational leverage.
• Help evolve Product Management discipline by modeling strategic clarity, KPI ownership, prioritization rigor, customer-first thinking, and scalable ways of working.