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
Work closely with Sales and Customer Success teams supporting new and existing customer pursuits to articulate NX1 capabilities/differentiators, define solution options/benefits, and identify modernization opportunities for client-specific workloads Propose solution architecture and articulate benefits of NX1 for complex data driven workloads
What they're looking for
- A minimum of 8 years of experience as a Solution Architect and 3 years as a Sales Engineer working with enterprise customers
- Proven track record supporting the technology sales processes with the ability to articulate business benefits to non-technical stakeholders
- Deep knowledge of open-source and proprietary modern data technologies, including Iceberg, Spark, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, Kafka, Debezium, etc
- Experience designing/building solutions across major cloud platforms (AWS, Azure, and GCP) using Kubernetes, Terraform, and CI/CD principles
- Proven experience architecting data pipelines and data infrastructure to support AI and ML at scale
- Hands-on experience with programming languages, including Python, Java, Scala, GO, SQL, etc
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