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 product that enterprise buyers trust on day one — and still trust at scale.
You will own features end to end, from the screen a customer sees to the query behind it. Every number we show has to be traceable to source data, and every page has to behave the same for a small customer and one many times larger. This is a role for someone who builds the durable version first, not the demo version.
Build the integration layer that makes every industry’s systems speak one language.
EdQuantify resolves records from learning, membership, HR and CRM systems today, and from very different industries next. You will build the connector architecture, APIs and backend workflows that let a new source system be added by configuration, not by rewriting shared code.
Pressure-test our seed fundraising readiness before investors do.
EdQuantify is building a governed enterprise data and AI platform that connects fragmented information and produces trusted, traceable answers; our first customers are associations and corporate learning teams. We are looking for a startup finance professional to review our fundraising readiness, challenge our assumptions and tell the founder plainly what has to change before we approach seed investors.
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 across associations and corporate L&D.
Don’t see your role? Get in touch if you think we should be talking.
We are forming a small advisory board: finance and fundraising, enterprise sales and go-to-market, enterprise data and AI, and industry advisors for associations and corporate learning. Seats are equity-compensated, built around one or two focused conversations a month, and advisors are never named publicly without their agreement.
Keep the product credible where technical decisions meet buyer trust.
EdQuantify is building a governed enterprise data and AI platform, initially focusing on associations and corporate learning and development. Help us prioritize the technical and product decisions that make a governed data and AI platform useful, credible and deployable for enterprise customers. Bring experience with integration, data quality, trustworthy answers and enterprise procurement.
Bring an association buyer’s judgment to our first vertical.
EdQuantify is building a governed enterprise data and AI platform, initially focusing on associations and corporate learning and development. Help us earn adoption in associations by bringing a buyer’s perspective on membership, education, certification and operational decisions. Review our existing association customer profile and help identify a focused, repeatable use case supported by real buying behaviour.
Help us find where learning data earns a business decision.
EdQuantify is building a governed enterprise data and AI platform, initially focusing on associations and corporate learning and development. Help us test and refine our corporate L&D opportunity. Bring a buyer’s perspective on fragmented learning and workforce data, measurement, business decisions and enterprise buying requirements. Help us establish where our platform creates value beyond existing reporting tools.
Strengthen our financial strategy and prepare EdQuantify for seed fundraising.
EdQuantify is building a governed enterprise data and AI platform that connects fragmented information and produces trusted, traceable answers; our first customers are associations and corporate learning teams. We are forming a small advisory board, and the first seat is finance. Challenge our business model, financial assumptions and valuation rationale. Guide fundraising readiness, investor materials and financial diligence.
Help make customer acquisition and adoption repeatable.
EdQuantify is building a governed enterprise data and AI platform, initially focusing on associations and corporate learning and development. Refine our existing customer profiles, positioning and commercial approach. Help define how customers evaluate, buy and reach value with EdQuantify — and identify where custom promises or onboarding friction prevent us from growing efficiently.
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.
