ABOUT US

Prokeep is a cutting-edge distributor revenue and relationship engine on a mission to empower distributors to win.
Trusted by over 1,000 distributors 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.
We serve the $100+ billion distributor market, enabling them to build stronger relationships, drive demand, and positively impact the communities they serve. By enhancing customer experiences and streamlining communication, we’re not just solving problems, we’re transforming industries and building stronger connections 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 connection at a time!

THE ROLE

We’re building a small, high-impact team to create new data-driven capabilities and AI-powered features that enhance our existing SaaS products or serve as standalone offerings. We’re looking for a Data Engineer who’s excited to be part of an entrepreneurial, product-minded team where creativity, curiosity, and experimentation are core to how we work.
This isn’t a role for someone who wants to be handed requirements and optimize pipelines in isolation. We’re looking for someone who thrives in ambiguous environments, loves turning messy data into structured assets, and has a nose for product opportunities hiding in the data.
You’ll be joining a team led by a deeply technical founder, alongside a founding engineer focused on AI and machine learning. Your role will focus on designing and building robust, scalable data pipelines, shaping our storage layer, and collaborating on new data products and proofs of concept.

WHAT YOU’LL DO

• Design, build, and maintain ETL/ELT pipelines using modern data tools and frameworks
• Own and optimize our data lake/data warehouse setup (e.g. Parquet, Iceberg, Delta Lake)
• Collaborate closely with AI/ML engineers to build and serve training datasets, inference pipelines, and feedback loops
• Partner with product and engineering to turn raw data into product-ready insights, APIs, or feature sets
• Prototype and iterate on new data product ideas quickly, focusing on speed-to-learning over polish
• Take initiative in identifying data-driven opportunities within our platform or market
• Contribute to defining best practices, architectural choices, and internal data standards