Technical Product Manager - AI

SupplyHouse is an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies. The Technical Product Manager - AI will own the strategy and execution of AI-driven technology initiatives, partnering with developers and business stakeholders to discover, define, and deliver AI solutions that create measurable value.

Responsibilities:

• Define and own the AI product roadmap, spanning customer-facing features (search & discovery, personalization, recommendations, and agentic self-service) and internal tools (RAG-based co-pilots, content generation, workflow automation, and decision support systems)
• Partner with developers to scope, architect, and deliver AI solutions, from proof of concept through production deployment
• Lead discovery: identify high-value AI opportunities by engaging with customers, business teams, and data; translate findings into clear problem statements and testable hypotheses
• Write detailed requirements, user stories, and acceptance criteria in JIRA and Confluence with sufficient technical depth for AI/ML development
• Design and manage experiments and A/B tests to evaluate AI feature performance; analyze results and drive iteration
• Act as translator between business stakeholders and technical teams, articulating AI capabilities and limitations in business terms, and framing business goals in technically actionable ways
• Monitor AI product performance post-launch; define and track relevant metrics (accuracy, engagement, conversion, latency, etc.) and respond to regressions or emerging opportunities
• Champion responsible AI practices across all initiatives, including data privacy, model fairness, security, and quality standards
• Enable internal adoption of AI tools by developing documentation, playbooks, training materials, and demos for business teams
• Stay current on the AI/ML and bring actionable insights back to the roadmap

Requirements:

• • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field
• • 5–8 years of product management experience, with at least 2 years leading AI/ML or data-driven product initiatives
• • Strong working knowledge of modern AI/ML approaches: large language models and prompt engineering, retrieval-augmented generation (RAG), agentic workflows, recommendation systems, search/ranking, and personalization
• • Demonstrated experience partnering with data science and ML engineering teams to ship production-ready AI features
• • Technical fluency sufficient to read API documentation, understand data schemas and model architecture tradeoffs, and engage meaningfully in system design discussions
• • Proficiency with JIRA, Confluence, and agile/scrum methodologies
• • Strong analytical skills; comfortable defining success metrics, designing experiments, and interpreting quantitative results
• • Exceptional communication and stakeholder management skills, able to align executives, engineers, and business partners around a shared vision
• Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas
• • Product Management experience specifically within an ecommerce setting strongly preferred
• • Experience with LLM evaluation, prompt design, and AI quality assessment is a plus
• • CSPO, SAFe POPM, or relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, or similar)