Director, Product Management, Core Solutions & Experience

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. Interoperable with leading eCommerce platforms, Lily AI maximizes existing tech investments to deliver upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, and higher customer conversion. Learn more at www.lily.ai.

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. They will be responsible for ensuring Lily AI delivers cutting-edge content generation solutions which are embedded in a seamless, user-focused interface that showcases the full range of Lily’s products, integrations, and insights. 

1. Define the strategic roadmap for generative AI features designed to improve marketing channel performance. 
2. Drive expansions into new channels, languages, and verticals or entirely new product offerings ensuring they address real customer needs and market trends.
3. Own the roadmap for how all Lily AI capabilities come together in our app.
4. Oversee feature development for data visibility, catalog management, generative workflows, agentic capabilities, and more. 
5. Collaborate closely with engineering, data science, UX, and ML teams to develop and launch high-quality features on time.
6. Drive parallel workstreams—shipping current features while planning subsequent enhancements for both content gen and the Lily App.
7. Partner with the UX Designer to create user-centric flows for searching, editing, managing tags, generating content, and setting up experiments.
8. Collaborate with data and ML teams to capture and display clear performance metrics, enabling customers to measure impact and ROI.
9. Foster a culture of collaboration, continuous learning, and rapid iteration.

• • 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).

Currently, we are hiring from the below US states, Canada and Latin America – (candidates must be currently residing in Canada, Latin America or the following US states or open to relocating):

• Alabama
• Arizona
• California
• Colorado
• Connecticut 
• Florida
• Georgia
• Illinois
• Indiana
• Massachusetts
• Minnesota
• Nevada
• New Jersey
• New York
• North Carolina
• Oregon
• Pennsylvania
• Rhode Island
• Tennessee
• Texas
• Utah
• Virginia
• Washington

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $180,000-200,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.