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Sales Engineer

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Remote from
Canada
Salary
CAD 95k–115k / yr
Department
Sales
Employment
Full Time
Experience
Open level
Published
Apply before
25 Nov 2026
Listing views
30
Application actions
2
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AI Summary

The role, at a glance.

Litmus is seeking a Sales Engineer to provide technical leadership throughout enterprise industrial-software sales cycles. The role partners with Account Executives to discover OT/IT integration requirements, deliver tailored demos, and support pilots and proof-of-concepts. It requires credibility with factory-floor engineers as well as business and IT stakeholders, particularly in Industry 4.0 environments. Candidates should bring manufacturing or industrial automation experience alongside scripting, API, and cloud or data-platform knowledge. The position is remote within Canada and operates in a fast-moving growth-stage company environment.

Role DNA

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

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines consultative selling with hands-on technical discovery, demonstrations, pilots, and industrial-domain expertise. Success depends on translating complex OT, IT, and data-platform concepts for both technical and executive audiences.

Salary analysis

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

Estimated job median (per year)Market rate
C$105,000
CA market range (per year)C$95k–C$135k
AI insightThe employer discloses a yearly base salary range of CAD 95,000–115,000, with a midpoint of CAD 105,000. A reasonable estimated Canadian market range for a Sales Engineer with industrial automation and OT/IT expertise is CAD 95,000–135,000 per year; variable sales compensation may be offered separately but is not disclosed.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you run technical discovery for a manufacturer seeking to connect OT data to IT systems?

I would begin by defining the business outcome, such as reducing downtime or improving throughput, then map the relevant assets, protocols, data sources, security constraints, and existing SCADA, MES, or historian systems. I would validate stakeholders, success criteria, integration requirements, and a practical pilot scope before proposing an architecture.

Describe how you would tailor a Litmus demonstration for both an OT engineer and an IT leader.

I would show the OT engineer how the platform connects to machines, normalizes real-time data, and works reliably at the edge. For the IT leader, I would focus on governance, APIs, security, scalability, integration with cloud and enterprise systems, and the measurable business value of making industrial data usable.

What approach would you take to deploying a proof of concept at a customer site?

I would establish a jointly agreed scope, timeline, data sources, technical owners, access requirements, and success metrics. I would start with a narrow, high-value use case, document assumptions and risks, validate connectivity and data quality early, and finish with an outcomes review that supports a production rollout decision.

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

I use Python or JavaScript to validate API responses, transform sample data, automate repetitive setup tasks, and create lightweight demonstrations of integrations. In customer conversations, I explain the implementation clearly while keeping the discussion focused on the operational outcome rather than unnecessary technical detail.

How would you respond to an RFP that includes requirements not currently supported by the product?

I would coordinate with product and engineering teams to verify the gap, avoid overstating capabilities, and clearly distinguish native functionality, feasible integration approaches, and roadmap items. I would provide a precise response that addresses the customer's underlying objective and preserves trust while presenting the strongest viable solution.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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+ 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)

Apply now >

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