Litmus

Litmus

Sales Engineer

USRemotePosted Today
Full TimeSeniorRemoteUS

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Job Description

Who is Litmus 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, mos

Key Highlights

  • 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

Qualifications

Required Qualifications

  • 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
  • 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

Preferred Qualifications

  • 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)
  • 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)

Skills & Technologies

Machine LearningPythonJavaScriptAzureAWSGCPSQLNoSQLDockerKubernetes

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

US

Work Mode

Remote

Posted

Today

Country

US