Director of Product Management, Platform & Data

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. 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.

Overview

As the Principal / Director of Product Management for Platform & Data, you will own the overarching platform and data product strategy—ensuring Lily AI’s infrastructure, data pipelines, ML capabilities, and AI/ML roadmap are unified, scalable, and innovative. This leader will define how we harness data to deliver new customer-facing features, integrate brand/enterprise knowledge, and power advanced generative/agentic use cases.

Key Responsibilities

1. Develop and maintain a clear, ambitious roadmap that addresses both immediate platform needs and future innovations. 
2. Lead teams to explore the latest technologies and their applications. 
3. Collaborate with executive leadership to align platform initiatives with overall company strategy and product direction.
4. Define how data is collected, stored, and surfaced for all Lily AI products—ensuring the platform can handle robust data models, brand knowledge ingestion, and new data types (e.g., multimodal).
5. Establish governance, security, and privacy standards, guiding best practices to support advanced, enterprise-grade use cases.
6. Partner with engineering and ML teams to ensure the platform’s architecture supports high-volume generative content, retrieval-augmented generation (RAG), embeddings, and next-gen inference pipelines.
7. Evaluate and implement technologies that support real-time or near-real-time data processing for a rapidly growing user base.
8. Act as the bridge between Data, Engineering, ML, user-facing PMs, and other stakeholder teams.
9. Align technical teams and business stakeholders around platform priorities, ensuring timely delivery and seamless user experiences.
10. Identify and champion opportunities to incorporate novel AI/ML solutions that unlock new sources of customer value (e.g., brand knowledge retrieval, advanced personalization).
11. Own KPIs related to platform uptime, latency, and performance.
12. Ensure the platform can scale cost-effectively without sacrificing quality, enabling stable rollout of new features to an expanding global customer base.
13. Champion a culture of innovation, continuous improvement, and technical excellence.

Qualifications

• • • Experience: 7+ years of product management experience with a strong focus on data platforms, ML infrastructure, or enterprise SaaS technology. Prior experience in a technical role is highly recommended. 
    • Leadership: Demonstrated ability to lead large, complex platform initiatives and manage large, multi-million dollar revenue roadmaps.
    • Technical Depth: Hands-on, advanced understanding of AI systems (embeddings, RAGs, multimodal data infrastructure, etc) and an understanding of large scale technologies, cloud infrastructure, ML/AI frameworks, and data governance best practices.
    • Strategic Thinker: Capable of translating high-level business goals into a coherent platform roadmap that supports both near-term deliverables and long-term innovation.
    • Collaboration: Skilled at building strong partnerships with engineering, data science, executive leaders, and external technology vendors/partners.
    • Results Oriented: Track record of measuring platform performance, driving adoption of advanced capabilities, and delivering measurable improvements in reliability, scalability, or cost efficiency.
    • Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related field (or commensurate technical background).

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.