Sales Engineer

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Litmus

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🏭 Manufacturing

🤖 Artificial Intelligence

☁️ SaaS

Manufacturing • Artificial Intelligence • SaaS

Litmus is a modern industrial data platform that transforms fragmented operational and machine data into a standardized, governed foundation for deploying AI and analytics across manufacturing plants. The platform provides industrial data connectivity, a unified namespace to standardize data, edge software to run applications and AI near machines (including support for offline and air-gapped environments), centralized edge management, and data governance tools to scale multi-site deployments. Litmus integrates with PLCs, SCADA, historians, MES, cloud providers and enterprise analytics, and is positioned to help manufacturers accelerate use cases like predictive maintenance, energy optimization, anomaly detection, and digital twins.

📋 Description

• Lead technical discovery with prospects — uncovering business and technical requirements to shape solution presentations • Deliver tailored product demos and solution presentations that address customer-specific use cases • Deploy and support small pilots and proof-of-concept projects • Work alongside Account Executives throughout the sales cycle to provide technical depth and credibility • Respond to RFIs and RFPs with accurate, compelling technical content • Relay market and customer feedback to Product Management — gaps, feature requests, and competitive insights

🎯 Requirements

• 3–5 years of technical experience in manufacturing, industrial automation, OT/IT, or a related field • Experience in a pre-sales, sales engineering, or customer-facing technical role • Ability to engage credibly with both OT engineers and business/IT stakeholders • Comfort with scripting (Python or JavaScript) and working with APIs • Hands-on familiarity with industrial software ecosystems — SCADA, MES/MOM, Historians, or similar • Familiarity with cloud infrastructure — Azure, AWS, or GCP — in an industrial context • Knowledge of databases (SQL or NoSQL) and container technologies (Docker, Kubernetes) • Industry exposure in Automotive, Food & Beverage, Life Sciences, or Chemical manufacturing • BS/MS in Electrical, Industrial, or Computer Engineering (or equivalent experience)

🏖️ Benefits

• Competitive salary