Technical Product Manager - AI
SupplyHouse.com · Remote
📍 Remote, Remote, United States💰 $116,984via greenhousePosted 2026-09-09
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Real people. Real service.
At SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.
We are looking for a Technical Product Manager - AI to join our Product, Systems, and Insights Team. This individual will report into our Senior Director, PSI and will own the strategy and execution of AI-driven technology initiatives across the business. You will partner closely with developers and business stakeholders to discover, define, and ship AI solutions that create measurable value. If you are interested in both strategic vision and hands-on execution, we want to hear from you!
This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington.
This position requires travel to our headquarters in Melville, NY 6 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open.
Role Type: Full-Time, Exempt
Location: Remote
Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility
Base Salary: $116,984 – $146,230 per year
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
Product Management experience specifically within an ecommerce setting strongly preferred
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
Preferred Qualifications:
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)
Why work with us:
We have awesome benefits – We offer a wide variety of benefits to help support you and your loved ones. These include:
Comprehensive and affordable medical, dental, vision, and voluntary life insurance options
401(k) with up to 4% company match
Paid vacation, sick time, and holidays
Company-paid basic life insurance and long-term disability
Discounted auto, home, and pet insurance programs
Flexible Spending Account (FSA)
Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
Company-provided equipment and one-time $250 work from home stipend
$750 annual professional development budget
$25 monthly Grubhub credit
Company rewards and recognition program
And more!
We empower ownership – We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments.
We promote work-life balance – We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. L
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