Sales Engineer

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Nexus Cognitive

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Series unknown on 2024-07

SaaS • Artificial Intelligence • B2B

Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.

📋 Description

• 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

• 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

• 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