Waystation AI

Data Engineer

Redwood City, CA

Sponsorship not specifiedDetected 30 days ago

PythonSQLRESTMachine LearningdbtNLPSupply ChainProcurementManual Testing5G/LTE

About the role

Structured data isn't a feature of our product - it is the product.
We take the messiest input imaginable (thousands of disconnected supplier emails and PDFs - specs, COAs, pricing, certs) and turn it into a clean, queryable system of record shared across procurement, QA, and R&D.
The hard part isn't the schema or the pipes - it's resolving and normalizing unstructured, inconsistent, multi-language input into something the application and every downstream workflow can trust.

Own the extraction pipeline. Turn messy supplier emails and documents - specs, COAs, pricing, certs, multi-language, bad scans - into structured, validated data.
Resolve the unstructured. The core challenge: normalize and entity-resolve inconsistent, conflicting, multi-source inputs into one trustworthy record the application and workflows can build on.
Push accuracy and prove it. Drive extraction past today's 85%+ and build the eval harness that measures it, per document type, so the number is real and not a vibe.
Own the data model. Unify suppliers, documents, RFPs, pricing, and certifications into one source of truth - and build for institutional memory, so every email compounds into leverage.
Engineer the agent layer. Our extraction pipelines run on agents, and you own that layer: context construction, memory, evals, and the skills and tools the agents use. This is core to the role, not a side project.
Build leverage. Reach for models and agents first. Automate the long tail instead of grinding it.
Own the extraction pipeline.
regulated, document-heavy domains; CPG, supply chain, or procurement; multi-language data (Chinese, Spanish); search/retrieval or agent infrastructure.
A measurable climb past existing accuracy (precision & recall) across document types - proven by the evals you built, not asserted.
More supplier formats and document types handled cleanly.

Built data systems from zero at a startup. required.
There's a thing you're genuinely better at than almost anyone - data systems, extraction, applied ML - and you can name it and point to results that prove it.

One customer saved over $200,000 in the first three months, paying for their annual contract in the first 30 days.

Competitive base salary + meaningful equity - real ownership, with upside tied to the outcomes you drive
Full health, dental, and vision coverage
Unlimited vacation - we care about outcomes, not hours
Coverage of the long tail.

Waystation AI
Waystation is building the operating system for procurement in consumer packaged goods (CPG).
Today, ingredient and packaging sourcing still runs through inboxes, PDFs, and spreadsheets.
It's slow, opaque, and costly.
Waystation replaces that chaos with an AI-powered procurement platform that creates structure, visibility, and leverage - without forcing suppliers into portals.
The result: real ROI.
One customer saved over $200,000 in the first three months, paying for their annual contract in the first 30 days.
Waystation is led by repeat founder Ryan Caldbeck (previously founded CircleUp) and backed by Founder Collective, Homebrew, Slow Ventures, 87 Capital, Floodgate, and SuccessVP.
We have paying customers, real usage, and a product that works.
You own that layer end to end.
The extraction pipeline, the data model, the infrastructure the rest of engineering builds on - it's yours, not a slice of it.

This listing is sourced directly from Waystation AI's careers page and normalized into a canonical job model.