Early-stage, high-ownership roles. You’ll ship product enterprises depend on — and help define a new category of governed AI infrastructure.
Enterprise AI is only as good as the data underneath it.
We turn fragmented, conflicting records across an organization’s systems into governed, confidence-scored truth — so analytics, automation, and AI can finally be trusted to act on it.
The work spans messy real-world data, model evaluation, clean APIs, and product people rely on. It’s early, it’s hard, and it reaches customers fast.
Early-stage, high-ownership roles. You’ll work directly with the founder and ship product customers depend on.
EdQuantify is an E-Verified employer and welcomes applications from eligible OPT candidates.
Build the intelligence layer behind trusted enterprise AI.
You will work on real-world data problems across fragmented records, governed metrics, model evaluation, and customer-facing intelligence. This role is for someone who can move from research-quality thinking to production-minded execution.
Build the product customers touch — and the systems behind it.
You will own features end to end, from user experience to backend logic. This is a role for someone who wants to build quickly, think clearly, and take real responsibility for customer-facing product.
Build the connective tissue of the platform.
EdQuantify depends on clean, reliable movement of data across systems. You will build APIs, integrations, backend workflows, and infrastructure that make the product dependable at scale.
Own the first repeatable enterprise sales motion.
You will be EdQuantify’s first dedicated go-to-market hire, working directly with the founder to turn early customer demand into a repeatable sales process.
Early-stage is the point — not a warning label.
EdQuantify is an E-Verified employer and welcomes applications from eligible OPT candidates. Candidates must be authorized to work in the United States for the role they are applying to. If you are on OPT or STEM OPT, please include your work authorization timeline when you apply so we can evaluate fit clearly and responsibly.
We’re always looking for exceptional people. Tell us how you’d help build the system of truth for enterprise AI.
