Technical Product Manager - AI

SupplyHouse.com

1d•$121,971 - $182,956•Remote

About The Position

SupplyHouse.com is seeking a Technical Product Manager - AI to join its Product, Systems, and Insights Team. Reporting to the Senior Director, PSI, this person will own the strategy and execution of AI-driven technology initiatives across the business, partnering with developers and business stakeholders to discover, define, and deliver AI solutions that create measurable value. The position is remote and open to people who live in, or are willing to relocate to, Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, or Washington. The role requires travel to the Melville, New York headquarters six times per year for internal meetings and team-building activities; reasonable and necessary travel expenses are reimbursed. The schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with time-zone flexibility. It is a full-time, exempt position. The expected starting salary is $121,971–$152,464, within a full position range of $121,971–$182,956 annually. The role spans customer-facing AI capabilities, including search and discovery, personalization, recommendations, and agentic self-service, as well as internal tools such as RAG-based copilots, content generation, workflow automation, and decision-support systems. The Product Manager will lead opportunity discovery and delivery from proof of concept through production, define requirements and experiments, monitor product performance, promote responsible AI, and support internal adoption through documentation and training.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field.
5–8 years of product management experience, including at least 2 years leading AI/ML or data-driven product initiatives.
Strong working knowledge of modern AI/ML approaches, including 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 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, including defining success metrics, designing experiments, and interpreting quantitative results.
Exceptional communication and stakeholder management skills, including the ability to align executives, engineers, and business partners around a shared vision.
Must be currently authorized to work in the U.S. on a full-time basis; the company will not sponsor work visas.

Nice To Haves

Product management experience in an ecommerce setting is strongly preferred.
Experience with LLM evaluation, prompt design, and AI quality assessment.
CSPO, SAFe POPM, or relevant AI/ML certifications, such as AWS Certified Machine Learning or Google Professional ML Engineer.

Responsibilities

Define and own the AI product roadmap across customer-facing features and internal tools.
Partner with developers to scope, architect, and deliver AI solutions from proof of concept through production deployment.
Identify high-value AI opportunities by engaging with customers and business teams and analyzing data; translate findings into 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, analyze results, and drive product iteration.
Translate between business stakeholders and technical teams by explaining AI capabilities and limitations in business terms and framing business goals in technically actionable ways.
Monitor post-launch AI product performance, define and track metrics such as accuracy, engagement, conversion, and latency, and respond to regressions or opportunities.
Champion responsible AI practices, 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 AI/ML developments and bring actionable insights to the roadmap.

Benefits

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 the Employee Assistance Program (EAP).
Company-provided equipment and a one-time $250 work-from-home stipend.
$750 annual professional development budget.
$25 monthly Grubhub credit.
Company rewards and recognition program.
Ownership for All program, providing team members a financial benefit from company growth and accomplishments.
Annual merit and bonus opportunities.
Hands-on training, diversity and inclusion initiatives, and internal mobility options.
Volunteer Paid Time Off.
Wellness initiatives and a Flex-Time Policy.