The composable, out-of-the-box data architecture that gives organizations complete freedom to build, adapt, and scale any data workload — from legacy databases to real-time AI pipelines — without vendor lock-in. Backed by Insight.
About the role
This is the customer-embedded technical counterpart at one of NX1's flagship enterprise accounts. You'll be the person the customer's technical organization knows by name — the architect they ping when they have a question, the technical advisor they trust to navigate the daily reality of running NX1 inside their environment, the NX1 voice in their architecture reviews, design discussions, and platform decisions.
What they're looking for
- 10–16 years in enterprise data/cloud architecture as an SA, principal engineer, TAM, or equivalent
- At least one prior multi-year embedded engagement at a Tier 1 enterprise customer (bank, top-tier insurer, public-sector flagship, automotive OEM, healthcare system) — you know what it means to be a vendor inside another organization's culture for 12+ months
- Hands-on or recent hands-on depth in the modern OSS data stack: Spark, Trino, Airflow, Iceberg, Kubernetes, S3-compatible object storage, Kafka — at scale
- Track record of being the customer's technical go-to person at a prior vendor engagement — named examples of "the customer's senior architects asked for me by name on this kind of problem"
- Strong written technical communication — design memos, architecture decision records, exec briefs that hold up to senior technical review
- Willingness to be on-site at the customer in Charlotte, NC (primary) and NYC (secondary) at 80%+ cadence for the WF deployment
More about this role
You don't have an AI story if you don't have your data story. That's where NexusOne comes in.
We're the converged data platform for the AI era — composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it — and still give AI agents full context across the estate.
What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence — delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the "ball of yarn" of data integrations into a unified engine — less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams — hands on keyboards, not just on decks.
It's working, and fast. We're tripling revenue year over year,...
Browse similar: Startup jobs · Remote jobs