Sales Engineer (Industrial AI)

About this role.

Litmus is seeking a Sales Engineer to support enterprise sales of its industrial edge-data platform for manufacturers. The role partners with Account Executives on technical discovery, tailored demonstrations, solution presentations, pilots, proof of concepts, and RFI/RFP responses. Candidates need hands-on familiarity with manufacturing environments, OT/IT integration, industrial software ecosystems, and customer-facing pre-sales work. Technical fluency in Python or JavaScript, APIs, and ideally cloud, databases, containers, SCADA, MES/MOM, or historians is important. This is a high-ownership role in a growth-stage company that emphasizes fast execution, collaboration, and translating technical capabilities into measurable customer value.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5### Pace & Pressure

4/5### Autonomy Level

4/5### Communication Load

5/5AI insightThe position requires credibility with both factory-floor OT practitioners and IT/business stakeholders while navigating complex industrial integration use cases. Success also depends on independently delivering compelling technical evaluations and pilots in a fast-moving sales environment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

$125,000

$100k–$155k

AI insightNo actual compensation is disclosed. These figures are estimated annual USD base-salary market benchmarks for a US-based Sales Engineer with 3–5 years of industrial automation, OT/IT, and pre-sales experience; commission, OTE, equity, and regional differences may materially change total compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions

How would you structure technical discovery for a manufacturer evaluating an OT/IT data platform?

I would begin by identifying the business outcome, such as reducing downtime or improving production visibility, then map the relevant assets, data sources, protocols, security constraints, and existing SCADA, MES, or historian systems. I would validate stakeholders, success metrics, implementation ownership, and integration risks before proposing a tailored demonstration or pilot plan.

Describe how you would tailor a product demonstration for both OT engineers and IT leaders.

I would frame the demo around a shared operational use case, while adjusting the depth by audience. For OT engineers, I would show connectivity, protocol support, data quality, and edge reliability; for IT leaders, I would emphasize security, governance, APIs, scalability, and business impact. I would close by linking both perspectives to measurable outcomes.

What makes a proof of concept successful in an industrial software sales cycle?

A successful POC has a jointly agreed scope, named technical and business owners, a realistic data source, clear acceptance criteria, and a defined path to production. I would keep the initial deployment focused on proving one or two high-value outcomes while documenting technical findings, value evidence, and next-step requirements.

How have you used scripting and APIs in a customer-facing technical role?

I use scripting to accelerate data validation, automate repeatable demonstrations, transform payloads, and troubleshoot integrations. When working with APIs, I clarify authentication, endpoints, schemas, rate limits, and error handling, then provide practical examples that help customers understand how the solution fits their architecture.

How would you respond when a prospect requests an unsupported feature during an evaluation?

I would acknowledge the requirement, clarify the underlying business need and urgency, and avoid overcommitting. I would evaluate viable configuration, integration, or workflow alternatives with internal product and engineering teams, communicate the trade-offs transparently, and capture the request as structured product feedback.

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, 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, reduce downtime, and optimize production.

Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.

Why join Litmus

Build the infrastructure that makes industrial AI possible

AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.

Work on problems where software meets the real world

Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.

Have real impact, fast

You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.

Join a high-performance team

We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.

Our culture

At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.

We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.

About the Role

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.

What You’ll Do

• 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

What You’ll Bring

Must Have

• 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

Nice to Have

• 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)

Annual salary information is not provided for this position. Explore salary ranges for similar roles in our[Salary Directory ›]

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