Director, Product Management - Core Solutions & Experience

5 days ago

🏈 Alabama – Remote

Although this job is listed in Alabama, this company may be open to hiring remote in other states.

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

+19 more states

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $180k - $200k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

🦅 H1B Visa Sponsor

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Lily AI

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Lily AI is an eCommerce product discovery platform that helps brands enhance site search, recommendations, and product copy generation. It operates in the fashion, home, and beauty industries, utilizing AI to improve product visibility and sales through enriched product attributes. By aligning product data with shopper language and trends, Lily AI boosts search performance and conversion rates for global retailers. Its technology supports a range of applications from Google Shopping Ads to organic product listings and marketplaces, maximizing sales and customer engagement.

51 - 200 employees

🛍️ eCommerce

👗 Fashion

🤖 Artificial Intelligence

📋 Description

• About Lily AI: Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem. • Overview: This role will own the end-to-end roadmap and execution for our Core Solution offering and the associated User Experience. This leader should be seasoned at building data products, SaaS platform user experiences, and advertising technology. • Key Responsibilities: Define the strategic roadmap for generative AI features designed to improve marketing channel performance, drive expansions into new channels, languages, and verticals or entirely new product offerings ensuring they address real customer needs and market trends, own the roadmap for how all Lily AI capabilities come together in our app, oversee feature development for data visibility, catalog management, generative workflows, agentic capabilities, and more, collaborate closely with engineering, data science, UX, and ML teams to develop and launch high-quality features on time, drive parallel workstreams—shipping current features while planning subsequent enhancements for both content gen and the Lily App, partner with the UX Designer to create user-centric flows for searching, editing, managing tags, generating content, and setting up experiments, collaborate with data and ML teams to capture and display clear performance metrics, enabling customers to measure impact and ROI, foster a culture of collaboration, continuous learning, and rapid iteration.

🎯 Requirements

• Experience: 7+ years of product management experience, ideally in AI-powered content generation, MarTech, eCommerce platforms, or related domains. A background in data science or engineering is a plus. • Leadership: Proven track record owning entire roadmaps for >$100M annual revenue products. • Technical Understanding: Comfort discussing data structures, ML workflows, or generative AI concepts with engineering and data science teams. • UX Mindset: Ability to think holistically about user flows, design, and usability for complex products that unify multiple features and channels. • Analytical & Execution Focus: Able to define and measure success metrics, gather user feedback, and iterate quickly. • Collaboration: Strong cross-functional collaboration with engineering, marketing, sales, customer success, and executive stakeholders. • Education: Bachelor’s or Master’s in Computer Science, Business, or related field (or equivalent experience).