Sales Engineer

Nexus Cognitive

Sales Engineer influencing product strategy and engaging with NX1 customers at Nexus. Collaborating with teams to define and implement modern data architecture solutions.

Posted 6/26/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

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Hard Skills & Tools

Solution ArchitectureData AnalyticsData Pipeline ArchitectureAIMachine LearningProgramming LanguagesCloud PlatformsKubernetesTerraformCI/CD

Soft Skills

Technical GuidanceStakeholder CommunicationInnovationContinuous ImprovementCollaborationProblem SolvingLeadershipTrainingCustomer EngagementThought Leadership