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
You are the buck-stops-here owner for whether NX1 delivers: the rollout program, the solution architecture and roadmap commitments, the documentation surface, the customer health signal at the engineering level, the margin against the engagement, and the loop back into engineering when the platform needs to evolve.
What they're looking for
- Own the bidirectional translation between the customer's business problem and NX1's engineering reality — surface the right requirements into the org, surface engineering trade-offs back to the customer, without distorting either side
- This is the craft of the role: customers don't hand you a requirements doc that's correct. You build it together, in conversation, by knowing what to ask and what to push back on
- Pull in Solution Architects when the work needs architecture depth, pull in FDEs / engineers when the work needs to be built
- Hold the line on technical commitments: what's in scope, what's a roadmap ask, what's a one-off custom build the engagement can't absorb
- Be the person who reads the architecture doc, asks the sharp question, and writes the one-page summary the customer's CTO actually reads — and the one-page brief the engineering team uses to scope the work
- Operationally rigorous. Strong track record of delivering against customer needs — not activity-shaped ("I ran the program") but outcome-shaped ("the customer got X and here's specifically how I made it land")
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,...
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