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NexusOne

Sales Engineer

RemoteUnited States only
Published
Role
Sales
Experience
Lead
Employment
Full-time
Company size
Mid-size
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Sales Engineer with 3+ years of experience and 8+ years as a Solution Architect. Must have deep knowledge of modern data technologies (open-source and proprietary) and cloud platforms (AWS, Azure, GCP) with Kubernetes and CI/CD. Proven experience architecting data pipelines for AI/ML at scale and hands-on programming skills (Python, Java, Scala, GO, SQL).

Core skills

data platformAIdata architecture

Required skills

IcebergSparkNifiJupyter NotebooksClouderaDatabricksKubeflowMLFlowKafkaDebeziumAWSAzureGCPKubernetesTerraformCI/CDPythonJavaScalaGoSQL

Required languages

English

What you'll do

  • 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
  • Oversee initial customer onboarding ensuring automation, repeatability, and standardization across customer base
  • Act as a key product stakeholder contributing to the product roadmap, prioritization, and architecture definition.
  • Work closely with NX1 Product and Architecture team to define, design, and implement new Control Plane product features and entitlements
  • Contribute to NX1 and industry thought leadership and marketing content
  • Cultivate a culture of innovation and continuous improvement
  • Provide technical guidance and support to internal stakeholders on data analytics tools and best practices.
  • Stay updated with industry trends and emerging technologies in data analytics and open-source tools.
  • Develop standards, patterns, best practices, and formal training (boot camps) for internal engineers and client-facing delivery teams
  • Clearly articulate technical capabilities and give technical demonstrations
  • Partner with the sales team to generate leads
  • Find and maintain prospective clients
  • Provide general technical support to clients

What they require

  • 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.
  • Ability to discuss highly technical concepts with prospective leads
  • Willingness to travel

Benefits

  • A collaborative team culture built on curiosity and respect
  • Challenging work where your contributions clearly matter
  • A leadership team that invests in learning and development
  • The opportunity to work at the intersection of cloud, data, and AI innovation

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, backed by Insight Partners, and running in production in environments most vendors won't touch. Our platform processes credit risk data for 90%+ of US small businesses — 40M+ — every month. Intent signals for 300M+ subscribers monthly for Africa's largest telco. The data and AI layer for a Top 3 US bank. We're 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and don't mistake activity for progress. We hire people who'd rather ship the rocket than brief someone on it.

🇺🇸 United StatesData And AIMid-size
Salary not disclosed