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About This Role
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 Generosity, Respect, Innovation, Teamwork, 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. Look out for our wellness initiatives and ask about our Flex\-Time Policy!
We support growth – We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands\-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget.
We give back – We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee\-nominated contributions, support for non\-profit organizations, Volunteer Paid Time Off, and more.
We listen – We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check\-ins, employee listening initiatives, and company\-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day.
Check us out and learn more at: https://www.supplyhouse.com/our\-company!
Additional Details:
Remote employees are expected to work in a distraction\-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations.
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.
SupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs.
To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem\-solving. We appreciate your transparency and look forward to learning more about your skills.
We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations.
All emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.
Salary Context
This $116K-$146K range is in the lower quartile for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At SupplyHouse.com, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($131K) sits 39% below the category median. Disclosed range: $116K to $146K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
SupplyHouse.com AI Hiring
SupplyHouse.com has 1 open AI role right now. They're hiring across AI Product Manager. Based in US. Compensation range: $146K - $146K.
Location Context
AI roles in Austin pay a median of $214,343 across 143 tracked positions.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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