Hey — Scot here, CEO and co-founder of ReFiBuy. If you're a PM who's tired of writing tickets and ready to actually shape how AI agents help us build product faster — keep reading.
A few quick notes up front:
- No recruiters, please.
- Applicants must have permanent work authorization in the US. We're not sponsoring visas for this role.
- This is an in-office role. We're default in-office in Raleigh, NC. If you're not in the Triangle, you'd need to relocate at your own expense — we don't have a relocation budget for this seat
The Role
We're looking for a Product Manager who brings deep retail domain knowledge and genuine AI curiosity. This isn't a role for someone who wants to manage a backlog and write specs. The PM function at ReFiBuy is evolving — from defining what to build, to actively shaping how AI agents help us build it faster.
You'll work on product challenges at the heart of how brands and retailers manage, structure, and distribute product data across major retail relationships. You understand how catalog operations break down in practice, and you see clearly how AI can fix what's always been broken.
What You'll Do
- Own product areas that sit at the intersection of catalog quality, retailer requirements, and AI-driven automation.
- Translate complex retailer and brand workflows into product decisions — you know where the friction lives and why it's hard to fix.
- Work directly with engineering and AI teams to design workflows that reduce the manual overhead of catalog operations.
- Partner with customers to understand where their product data operations break down and bring those insights back into the product.
- Use AI tools actively in your own workflow — prototyping, researching, analyzing. We want someone leaning into what's possible, not waiting for a playbook.
- Move fluidly between strategy and execution: write the brief, review the build, validate the output.
What we're looking for...
- 5+ years in product management, with meaningful experience shipping product in B2B ecommerce, retail tech, or commerce platform environments.
- Deep, hands-on familiarity with how brands and retailers manage product catalogs across major retail relationships — including the setup, attribution, and content compliance requirements that come with 1P partnerships.
- You've worked closely with teams managing large, complex product catalogs. You understand SKU-level data quality problems and their downstream consequences.
- Genuine AI curiosity — you're actively experimenting with AI tools, thinking about how they change the PM role, and excited by what becomes possible when you lean in.
- Comfort operating in a fast-moving startup environment where the roadmap is shaped by evidence and judgment, not committee.
- Strong written communication. You can make a complex requirement readable and a difficult product decision defensible.
Nice to Haves
- Experience with PIM systems, MDM Platforms, or product data syndication tools.
- Prior experience at a marketplace, retailer, or commerce platform
- Familiarity with AI product development- not required, but a foundation we will help you build.
- Comfort working directly with data, APIs, or lightweight tooling to explore a problem firsthand.
How we work
Builder culture → fast iterations, small specs, daily deploys, trunk-based development. We’re in the office because the best work happens at a whiteboard with the team you’re shipping with. Fewer meetings, more co-creation.
About ReFiBuy
ReFiBuy is the Agentic Commerce Optimization (ACO) platform for brands, retailers, and agencies. We exist to help commerce teams compete and win in a world where AI shopping agents — ChatGPT, Perplexity, Gemini, Copilot, Claude, and whatever ships next month — increasingly decide what gets discovered, recommended, and purchased.
The tools that power ecommerce today were never designed for agents. Product visibility used to depend on people typing keywords; now it depends on whether your product data is complete, structured, and intelligible to machines. We built ReFiBuy from the ground up as an AI-native, closed-loop platform — our Commerce Intelligence Engine ingests catalogs at the SKU level, evaluates how agentic engines interpret each product, enriches the gaps, distributes optimized data back to the engines, and monitors performance over time.
We were founded by four ecommerce operators with serious mileage — ChannelAdvisor, Rithum, MikMak, and Walmart — which makes us one of the most experienced AI startups in the Triangle. We're working with real brands and retailers (Steve Madden among them) on real catalogs, today.
Speed-wise: compared to a traditional company you'll feel like you're going 100x faster. Compared to a typical startup, 10–20x. If you like to build great and fast, be innovative, go home exhausted from learning so much, and ship work where the impact is immediate — you're going to love it here.
If this sounds like your kind of room — small team, big ambitions, AI-native from the floorboards up — send us your resume and a few links to things you’ve shipped. We read everything.
That’s it for now. Looking forward to meeting you.
— Scot Wingo, CEO
Skills Required
- 5+ years in product management
- Experience in B2B ecommerce, retail tech, or commerce platform environments
- Deep familiarity with product catalog management and data quality issues
- Strong written communication skills
What We Do
AI is transforming commerce, but the consumer journey remains constant: Research → Find → Buy. ReFiBuy exists to make sure your products are discoverable, competitive, and thriving no matter how shopping evolves. Our Commerce Intelligence Engine future-proofs your Agentic Commerce strategy, giving brands a 360° view of how they perform on GenAI shopping engines and delivering actionable results to own the digital shelf.
