Sales Engineer

Litmus is building the data foundation that powers industrial AI.

AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.

We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time,...

We’re hiring a Sales Engineer to play a central role in the Litmus sales cycle. You’ll partner closely with Account Executives to understand customer challenges in OT/IT integration and Industry 4.0, then demonstrate how the Litmus platform delivers measurable value. You bring hands-on knowledge of the factory floor — discrete and batch production, industrial software ecosystems, and the realities of connecting OT to IT.
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

3+ 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)