Sales Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with Sales and Customer Success teams to support both new and existing customer initiatives by articulating NX1's capabilities and differentiators, outlining solution options and benefits, and identifying modernization opportunities for client-specific workloads.

• Suggest solution architecture and clearly communicate the advantages of NX1 for complex, data-driven workloads.

• Manage the initial customer onboarding process, ensuring automation, repeatability, and standardization across the customer base.

• Serve as a key product stakeholder, contributing to the product roadmap, prioritization, and defining architecture.

• Partner with the NX1 Product and Architecture team to define, design, and implement new features and entitlements for the Control Plane product.

• Contribute to thought leadership and marketing content related to NX1 and the industry.

• Foster a culture of innovation and continuous improvement.

• Offer technical guidance and support to internal stakeholders on data analytics tools and best practices.

• Keep abreast of industry trends and emerging technologies in data analytics and open-source tools.

• Establish standards, patterns, best practices, and formal training (boot camps) for internal engineers and client-facing delivery teams.

⛳️ Requirements

• At least 8 years of experience as a Solution Architect and 3 years as a Sales Engineer working with enterprise clients.

• A proven track record in supporting technology sales processes with the ability to convey business benefits to non-technical stakeholders.

• Extensive knowledge of modern data technologies, both open-source and proprietary, such as Iceberg, Spark, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, Kafka, Debezium, etc.

• Experience in designing and building solutions across major cloud platforms (AWS, Azure, and GCP) utilizing Kubernetes, Terraform, and CI/CD principles.

• Demonstrated experience in architecting data pipelines and data infrastructure to support AI and ML at scale.

• Practical experience with programming languages, including Python, Java, Scala, GO, SQL, etc.

🏝️ Benefits

• A collaborative team culture grounded in curiosity and respect.

• Engaging work where your contributions are valued and impactful.

• A leadership team that prioritizes learning and development.

• An opportunity to work at the cutting edge of cloud, data, and AI innovation.