Product Engineer, Data & AI

About Us

Prokeep is an Order Engine on a mission to empower distributors to win by turning every customer interaction into an order opportunity. Trusted by 8,000+ distributor locations and 40,000+ users, Prokeep makes it easy for over 3 million contractors, technicians, plumbers, electricians, mechanics, and other skilled professionals to order parts, troubleshoot issues, and generally, get what they need and get on with their day.

Built for the $100+ billion distribution market, Prokeep eliminates missed opportunities caused by busy phone lines, scattered customer data, and passive sales habits. By centralizing communication and enabling proactive outreach, we help teams take more orders from any channel and get more orders by driving demand—fueling growth, stronger relationships, and greater impact across the supply chain.

Having recently secured a $25M Series A investment, we’re poised for rapid growth and innovation. If you're passionate about tackling complex challenges in a collaborative, fast-paced environment while contributing to an often-overlooked yet vital sector of the economy, we’d love to have you on board. Let’s shape the future together—one order at a time!

Prokeep Values

Build Together. – Collaboration, camaraderie, and customer-focus are core to how we collectively work and win. Own It. – Persistence and personal growth drive the results - and the rewards! - that we can all enjoy. Be Humble. Be Human. – Respect and authenticity allow us to build meaningful and lasting relationships. Have Fun! – Positivity, perseverance, and a bit of laughter all allow us to make an impact while enjoying the roller coaster!

Your Mission

Prokeep is building the future of order automation for distributors and we're hiring a Staff Product Engineer, Data/AI to build the data and intelligence foundation that the next generation of Prokeep is built on.

This role exists because the hardest problems we're solving aren't solved by writing more code faster — they're solved by understanding the shape of messy, real-world data and designing systems that make it tractable. Prokeep sits on a large, rich, and deeply messy dataset: customer communications, order history, product catalogs, and interaction signals — much of it generated by our customers in ways we don't control, and shaped by industry conventions that vary widely across our verticals.

Turning that into something a product can reliably reason over is the central engineering challenge of this role.

You’ll work across the stack — data, backend, and product — to take heterogeneous, sparse, inconsistent inputs and build systems that produce structured, verifiably correct outputs  is part of the toolkit. LLMs, embeddings, and retrieval are useful where they fit; classical techniques, deterministic logic, and good old-fashioned data modeling are often the better answer. Pragmatic judgment about which tool to reach for is core to the job.

This isn't a research role or a prototyping playground. You'll own systems end-to-end: from understanding the problem, to shaping the data, to shipping the product surface, to running it reliably in production.

Primary Responsibilities

• Take ownership of messy, heterogeneous, customer-generated data and design the systems, structures, and pipelines that turn it into a reliable foundation for product features.
• Build systems that produce verifiably correct, structured outputs from ambiguous inputs — including the eval frameworks and ground-truth datasets that prove they actually work.
• Ship customer-facing features end-to-end on top of that foundation, working across backend, data, and (where needed) frontend.
• Make pragmatic decisions about when to reach for an LLM, when to use embeddings or retrieval, when classical ML is the right call, and when the answer is just well-modeled data and deterministic logic.
• Own the quality and reliability of intelligent systems in production: latency, cost, fallback logic, monitoring, and continuous evaluation against ground truth.
• Help shape Prokeep's strategy for where intelligence should live in the product, what to prioritize, and what tradeoffs to make.
• Partner closely with our Data Engineer to…