Technical Product Manager - AI
supplyhouse · Remote, Remote, United States
Experience: 5–8 years
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:
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:
16,984 –
46,230 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
50 work from home stipend
• $750 annual professional development budget
•
5 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.
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
Careeroza — One-stop Zone for Aspirants
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- Templating & SSR · medium
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- Day7:Client-Server Model · basic
- Day8:HTTP & HTTPS · basic
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- Caching · medium
- Day9:Latency & Throughput · basic
- Load Balancing · medium
- Indexes & Query Optimization · medium
- CDN · medium
- Proxies · medium
- Message Queues · medium
- Horizontal vs Vertical Scaling · medium
- Database Replication · advance
- Database Sharding · advance
- Consistent Hashing · advance
- CAP Theorem · advance
- Rate Limiting · advance
- Service Discovery · advance
- Event-Driven Architecture · advance
- API Gateway · advance
- Distributed Consensus · expert
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- Table Operations · basic
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- GROUPING Data · basic
- Joins · medium
- Constraints · basic
- Subqueries · medium
- Set Operators · medium
- Views · medium
- Indexes · medium
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- Transactions · advance
- Stored Procedures & Functions · advance
- Triggers · advance
- Advanced SQL · advance
- Query Optimization · advance
- Database Design · advance
- SQL Security · advance
- Backup & Recovery · advance
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- Operators · basic
- Control Flow · basic
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- Objects · basic
- Arrays · basic
- Strings · basic
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- Asynchronous JavaScript · medium
- Fetch & APIs · medium
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- Routing Basics · basic
- Routing · basic
- API Calls · basic
- Forms · medium
- Routing · medium
- Services & Dependency Injection · medium
- RxJS & Observables · medium
- Authentication & Security · medium
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- Error Handiling · medium
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- Change Detection · advance
- Advanced RxJS · advance
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- Streams · medium
- Events & EventEmitter · medium
- Advanced filesystem · medium
- crypto · medium
- Compression & encoding · medium
- Child processes · medium
- net, dgram & DNS · medium
- readline, timers & scheduling · medium
- Testing & diagnostics (intro) · medium
- Worker threads · advance
- cluster & multi-process scaling · advance
- Performance & tuning · advance
- Debugging & observability · advance
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- Databases & collections · basic
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- Indexes deep dive · medium
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- Aggregation framework · medium
- Schema design patterns · medium
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- Mongoose advanced · medium
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- Write concern & read concern · advance
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• $750 annual professional development budget
•
Careeroza — One-stop Zone for Aspirants
Study material, Careeroza mentorship, tech jobs, and career guidance on careeroza.com.
Public study materials
- Django (Django)
- What is Django · basic
- Installing Django · basic
- Features of Django · basic
- MVT Architecture · basic
- Django vs Flask · basic
- Creating Project & Creating App · basic
- Django Project Structure · basic
- URL Routing · basic
- Views · basic
- Templates · basic
- Static & Media Files · medium
- Models · medium
- ORM (Object Relational Mapping) · medium
- Model Relationships · medium
- Migrations · medium
- Django Admin · medium
- Forms · medium
- Authentication · medium
- Authorization · medium
- Middleware · medium
- Signals · medium
- Class Based Views Deep Dive · advance
- Generic Views · advance
- File Handling · advance
- Django REST Framework (DRF) · advance
- Advanced ORM · advance
- Caching · advance
- Asynchronous Django · advance
- Background Tasks · advance
- Interview Questions · interview-questions
- Python (Python)
- Python Fundamentals · basic
- Control Flow · basic
- Strings · basic
- Collections / Data Structures · basic
- Functions · basic
- Modules and Packages · basic
- File Handling · basic
- Exception Handling · basic
- Object-Oriented Programming (OOP · medium
- Advanced Python Concepts · advance
- Functional Programming · advance
- Multithreading & Multiprocessing · advance
- Async Programming · advance
- System Architecture (System Architecture)
- Fundamentals of System Architecture · basic
- Distributed System Basics · basic
- System Reliability Concepts · basic
- Scaling Concepts · basic
- Networking Basics · basic
- Web Communication · basic
- API Communication · basic
- Proxy & Delivery Systems · basic
- Web Architecture Basics · basic
- Rendering Architectures · basic
- Frontend Advanced Concepts · basic
- Message Queue Basics · medium
- What is Load Balancer · medium
- Load Balancing Algorithms · medium
- API Design Basics · medium
- API Protection · medium
- Authentication Basics · medium
- Security Tokens · medium
- Security Threats · medium
- Encryption & Security · medium
- SQL Database Basics · medium
- SQL Scaling Concepts · medium
- NoSQL Databases · medium
- Database Optimization · medium
- Replication Strategies · medium
- Caching Basics · medium
- Cache Storage Systems · medium
- Cache Strategies · medium
- Event-Driven Systems · advance
- Queue Reliability · advance
- Microservices Basics · advance
- Microservice Communication · advance
- Distributed Transactions · advance
- DevOps Basics · advance
- Automation Tools · advance
- Deployment Strategies · advance
- Monitoring Basics · advance
- Monitoring Tools · advance
- Distributed System Concepts · advance
- Distributed Algorithms · advance
- Express.js — Web APIs & middleware (expressjs)
- Application setup · basic
- Routing deep dive · basic
- 1. MVC / Layered Architecture · medium
- Validation · medium
- File uploads · medium
- Sessions & auth (stateful) · medium
- Passport & strategies · medium
- Templating & SSR · medium
- WebSockets & SSE · medium
- Security middleware · advance
- Reverse proxies & trust · advance
- Performance · advance
- API design & versioning · advance
- Testing with Supertest · advance
- GraphQL & tRPC (overview) · advance
- Deployment checklist · advance
- Middlewares · basic
- Request & Response · basic
- System Designing (System Designing)
- Day-1 : What is system Designing ? · basic
- Day-2 : Vertical vs. Horizontal Scaling · basic
- Day-3:How to do vertical scaling ? · basic
- Day4:How to do horizaontal scaling ? · basic
- Day:5TCP vs UDP · basic
- Day6:IP & DNS · basic
- Day7:Client-Server Model · basic
- Day8:HTTP & HTTPS · basic
- Databases (SQL vs NoSQL) · medium
- Caching · medium
- Day9:Latency & Throughput · basic
- Load Balancing · medium
- Indexes & Query Optimization · medium
- CDN · medium
- Proxies · medium
- Message Queues · medium
- Horizontal vs Vertical Scaling · medium
- Database Replication · advance
- Database Sharding · advance
- Consistent Hashing · advance
- CAP Theorem · advance
- Rate Limiting · advance
- Service Discovery · advance
- Event-Driven Architecture · advance
- API Gateway · advance
- Distributed Consensus · expert
- Microservices · expert
- Observability · expert
- Idempotency · expert
- PACELC Theorem · expert
- Two-Phase Commit · expert
- Back-of-Envelope Estimation · expert
- Designing for Failure · expert
- SQL (SQL)
- SQL Fundamentals · basic
- Database Operations · basic
- Table Operations · basic
- CRUD Operations · basic
- Filtering & Operators · basic
- SQL Functions · basic
- GROUPING Data · basic
- Joins · medium
- Constraints · basic
- Subqueries · medium
- Set Operators · medium
- Views · medium
- Indexes · medium
- Normalization · advance
- Transactions · advance
- Stored Procedures & Functions · advance
- Triggers · advance
- Advanced SQL · advance
- Query Optimization · advance
- Database Design · advance
- SQL Security · advance
- Backup & Recovery · advance
- Questions · interview questions
- JavaScript (JavaScript)
- JS Introduction · basic
- Variables & Data Types · basic
- Operators · basic
- Control Flow · basic
- Functions · basic
- Scope & Execution · basic
- Closures · basic
- Objects · basic
- Arrays · basic
- Strings · basic
- DOM Manipulation · basic
- Browser APIs · medium
- Asynchronous JavaScript · medium
- Fetch & APIs · medium
- ES6+ Features · medium
- OOP in JavaScript · medium
- Prototype & Inheritance · advance
- Advanced Functions · advance
- Memory Management · advance
- Error Handling · advance
- Modules · advance
- Advanced Async Concepts · advance
- Functional Programming · advance
- JavaScript Internals · advance
- Performance Optimization · advance
- Angular (Angular)
- Angular Fundamentals · basic
- Project Structure · basic
- Components & Templates · basic
- Data Binding · basic
- Directives · basic
- Pipes · basic
- Component Communication · basic
- Lifecycle Hooks · basic
- Routing Basics · basic
- Routing · basic
- API Calls · basic
- Forms · medium
- Routing · medium
- Services & Dependency Injection · medium
- RxJS & Observables · medium
- Authentication & Security · medium
- Component Interaction · medium
- State Management Basics · medium
- Error Handiling · medium
- Perfomance Basic · medium
- Real World Features · medium
- Advanced Angular Architecture · advance
- Change Detection · advance
- Advanced RxJS · advance
- State Management · advance
- Dynamic Rendering · advance
- Perfomance Optimization · advance
- Modern Angular · advance
- STAR (Situation, Task, Action, and Result) (Situation Based Questions)
- Node.js — Server-side JavaScript (nodejs)
- Getting started · basic
- JavaScript on the server · basic
- CommonJS modules · basic
- ES modules (ESM) · basic
- npm & package management · basic
- Asynchronous JavaScript in Node · basic
- The event loop · basic
- Essential core utilities · basic
- process & configuration · basic
- File system basics · basic
- HTTP & HTTPS servers · medium
- Streams · medium
- Events & EventEmitter · medium
- Advanced filesystem · medium
- crypto · medium
- Compression & encoding · medium
- Child processes · medium
- net, dgram & DNS · medium
- readline, timers & scheduling · medium
- Testing & diagnostics (intro) · medium
- Worker threads · advance
- cluster & multi-process scaling · advance
- Performance & tuning · advance
- Debugging & observability · advance
- Security hardening · advance
- Native addons & N-API · advance
- Architecture patterns · advance
- Graceful shutdown · advance
- 100 Questions · interview questions
- MongoDB — Documents & data modeling (MongoDB)
- Introduction · basic
- Shell, Compass & tools · basic
- Databases & collections · basic
- CRUD operations · basic
- Indexes deep dive · medium
- Explain plans & performance · medium
- Aggregation framework · medium
- Schema design patterns · medium
- Mongoose basics · medium
- Mongoose advanced · medium
- Drivers & connection · medium
- Operators for updates & arrays · medium
- Replication & read preferences · advance
- Write concern & read concern · advance
- Multi-document transactions · advance
- Change streams · advance
- Sharding (overview) · advance
- Atlas Search & full-text · advance
- GridFS & large files · advance
- Backup, restore & ops · advance
- AWS Crash Course (AWS)
- What is Cloud ? · basic
- What is AWS ? · basic
- If not cloud ? · basic
- Cloud Computing · basic
- AWS Pricing · basic
- AWS Shared Responsibility Model · basic
- AWS Management Console · basic
- AWS SDKs · basic
- AWS IAM · medium
- Users, Groups, Roles · medium
- Policies · medium
- AWS Organizations · medium
- AWS Cognito · medium
- AWS Directory Service · medium
- AWS KMS (Key Management Service) · medium
- AWS Secrets Manager · medium
- AWS Shield · medium
- AWS WAF · medium
- AWS Inspector · medium
- AWS GuardDuty · medium
- EC2 · advance
- Launching EC2 Instances · advance
- EBS Volumes · advance
- Security Groups · advance
- Key Pairs · advance
- Elastic IP · advance
- User Data Scripts · advance
- Auto Scaling · advance
- Load Balancers · advance
- ALB · advance
- NLB · advance
- Serverless Compute ,AWS Lambda, Lambda Layers · advance
- Event-Driven Architecture · advance
- ECS · advance
- EKS · advance
• 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.