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Customer Success Application Engineer (EMEA)

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Published
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3Application actions
8 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

This Customer Success Application Engineer role delivers technical implementations, configurations, and value realization for Litmus customers in industrial environments. The position supports proof-of-concepts, production deployments, troubleshooting, root-cause analysis, and Level 2 support across EMEA. It requires a blend of manufacturing/OT knowledge, customer-facing implementation expertise, Linux and networking fundamentals, and cloud-native technical skills. The engineer will also partner with sales, product, development, account management, and support teams to improve deployments and relay product feedback. German and English fluency are required for customer engagement in the German market.

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 industrial automation and IT/OT deployment knowledge with hands-on troubleshooting, scripting, cloud/container technologies, and customer delivery responsibilities. It requires independently resolving complex production issues while communicating effectively with both technical and commercial stakeholders.

Salary analysis

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

Estimated job medianHighly competitive
$125,000
US market range$105k–$145k
AI insightNo actual compensation is disclosed in the posting. These are estimated US-market annual base-salary figures in USD for a mid-to-senior customer-facing application engineer with industrial software, IIoT, cloud infrastructure, and technical implementation responsibilities; actual Germany/EMEA compensation may differ materially.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe an industrial software or IIoT implementation you delivered from discovery through production.

I would begin by validating operational and technical requirements with customer stakeholders, including data sources, network constraints, security requirements, and success metrics. I would then configure and test the solution in a pilot, document the deployment approach, address issues found during validation, and manage a controlled production rollout. After go-live, I would monitor outcomes against the agreed business value and capture reusable lessons for future deployments.

How would you troubleshoot a customer issue where machine data is no longer reaching an edge platform?

I would first establish the scope and timing of the failure, then check device health, network connectivity, DNS and firewall rules, service status, logs, credentials, and protocol-specific connectivity. I would compare the current configuration with the last known working state and validate the PLC, SCADA, or data-source endpoint independently. Once the root cause is confirmed, I would restore service, verify data quality end to end, and document preventive actions.

How have you used Python or JavaScript to improve technical delivery or support work?

I have used scripting to automate repetitive validation and configuration tasks, parse logs, test API responses, transform operational data, and generate deployment reports. For example, a script can verify endpoint reachability and expected data tags before a customer handoff, reducing manual checks and making issues easier to reproduce. I prioritize maintainable scripts with clear inputs, error handling, and documentation so they can be reused by the broader team.

What considerations are important when deploying containerized software in a manufacturing customer's environment?

I assess the available compute resources, operating system compatibility, network segmentation, certificate and secret management, data persistence, image versioning, update procedures, and offline or restricted-network constraints. In industrial settings, I also account for reliability, change-control processes, access controls, and the potential production impact of downtime. I validate the deployment in a representative environment and provide an operational runbook before production handover.

How do you communicate technical findings to both plant engineers and non-technical account stakeholders?

I tailor the message to the audience while keeping the facts consistent. For plant and technical teams, I provide architecture details, logs, root cause, corrective actions, and validation evidence; for account stakeholders, I summarize customer impact, risk, timeline, and business outcome. I use concise written updates, clearly state ownership and next steps, and avoid overstating certainty while investigation is still underway.

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

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

The Application Engineer is a key technical role within the Litmus Customer Success team and is responsible for ensuring successful configuration, deployment, and value realization of Litmus products for customers across EMEA.

The Application Engineer will work with prospective and existing customers during proof-of-concept projects and production implementations, validating requirements, developing best-practice configurations, and delivering technical outcomes that demonstrate measurable business value.

The Application Engineer will also partner closely with Sales Engineers, Account Managers, Product Management, Development, and the Litmus Support Desk to support pre-sales transitions, customer expansion, product feedback, and Level 2 technical support. This role reports to the Director of Technical Delivery.

What You’ll Do

  • Validate customer requirements for proof-of-concept and production implementations of Litmus products.

  • Configure Litmus products during proof-of-concepts, customer pilots, and production deployments.

  • Lead assigned technical implementation activities and ensure contracted technical responsibilities are delivered successfully.

  • Develop innovative solution approaches that help customers maximize value from Litmus products.

  • Maintain and contribute to internal solution libraries, deployment best practices, reusable configurations, and technical documentation.

  • Provide Level 2 technical support to the Litmus Service Desk, including troubleshooting, root-cause analysis, and customer issue resolution.

  • Support Sales Engineers and Account Managers with technical architecture reviews, proposal inputs, RFI/RFP responses, demonstrations, and smooth pre-sales-to-implementation handovers.

  • Provide field feedback to Product Management and Development on customer requirements, market gaps, bugs, and product enhancement opportunities.

  • Support webinars, customer meetings, partner enablement, value-added reseller discussions, and customer user group activities as required.

What You’ll Bring

Must Have

  • Professional experience working in a manufacturing or industrial environment, ideally in an Application Engineering, Manufacturing Engineering, Automation, Controls, Industrial IT/OT, or related technical role.

  • Hands-on experience implementing or supporting software, infrastructure, automation, IIoT, analytics, or shop-floor solutions in a manufacturing environment.

  • Strong technical understanding of network protocols, system architecture, Linux-based systems, databases, and customer deployment environments.

  • Experience with product configuration, technical troubleshooting, and customer-facing implementation or technical support activities.

  • Working knowledge of scripting or coding using Python, JavaScript, or similar languages.

  • Understanding of containerized and cloud/hybrid infrastructure technologies such as Docker, Kubernetes, Azure, AWS, or GCP.

  • Excellent communication skills, with the ability to work directly with customers, internal technical teams, sales teams, and partners.

  • Self-starter with the ability to work independently as well as collaboratively in a fast-paced, changing environment.

  • Fluency in German & English

Nice to Have

  • Experience with Litmus products, industrial data platforms, OPC/UA, PLC/SCADA systems, or edge connectivity use cases.

  • Exposure to pre-sales support, solution demonstrations, technical proposal review, RFI/RFP participation, or customer expansion activities.

  • Experience supporting partners, value-added resellers, webinars, customer focus groups, or user-group events.

  • Ability to translate field observations into clear product feedback, enhancement requests, and best-practice documentation.

  • Experience working with industrial protocols, connectivity standards, or OT/IT environments.

  • Enjoys solving complex technical problems, learning new technologies, and helping customers realize measurable business value.

Apply now >

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