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# Customer Success Application Engineer (Japan)

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/litmus.md)Share8 Sep 2026Published26Listing views1Application actions8 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryLitmus is seeking a bilingual Japanese- and English-speaking Application Engineer to deliver customer implementations, configurations, and technical value realization for its industrial edge-data platform. The role supports proof-of-concepts, pilots, production deployments, and Level 2 troubleshooting for manufacturing customers across APAC. It requires practical expertise in industrial software or IIoT environments, Linux, networking, databases, scripting, and cloud or container technologies. The engineer will collaborate extensively with sales, account management, product, development, partners, and support teams while contributing deployment standards and product feedback. Success depends on independently solving complex customer issues and translating industrial requirements into reliable technical solutions.

## Role DNA

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

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a technically demanding customer-facing role that combines industrial-domain knowledge with edge infrastructure, deployment, troubleshooting, and scripting skills. The engineer must manage changing implementation requirements, production support, and cross-functional stakeholders while communicating fluently in Japanese and English.

## Salary analysis

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

Estimated job medianMarket rate$120,000US market range$95k–$150k0$165k

AI insightNo candidate salary was disclosed. This is a US-market estimate in USD for a mid-to-senior customer-facing Application Engineer with industrial IoT, edge infrastructure, cloud, and bilingual implementation expertise; actual Japan/APAC compensation may differ substantially by country and local market.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Customer Success](https://jobicy.com/jobs?search_keywords=Customer%20Success.md)[Technical Implementation](https://jobicy.com/jobs?search_keywords=Technical%20Implementation.md)[Industrial IoT](https://jobicy.com/jobs?search_keywords=Industrial%20IoT.md)[Edge Computing](https://jobicy.com/jobs?search_keywords=Edge%20Computing.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Network Protocols](https://jobicy.com/jobs?search_keywords=Network%20Protocols.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Japanese-English Bilingual](https://jobicy.com/jobs?search_keywords=Japanese-English%20Bilingual.md)

Sample interview questionsHow would you approach a proof-of-concept deployment for an industrial customer using an edge-data platform?I would begin by validating the business objectives, success metrics, data sources, security constraints, and deployment architecture. I would then configure a limited, repeatable deployment, validate connectivity and data quality, document findings, and review measurable outcomes with the customer before planning production rollout.

Describe how you would troubleshoot a customer issue where machine data is not reaching the edge platform.

I would isolate the issue across the data path: source system or PLC, protocol configuration, network connectivity, edge service health, authentication, and destination configuration. I would review logs and metrics, test connectivity safely, identify the root cause, communicate status clearly, and document both the resolution and preventive steps.

What factors would you consider when deploying containerized software in a manufacturing environment?

I would assess hardware capacity, operating-system compatibility, network segmentation, security policies, offline or intermittent connectivity, update procedures, observability, and rollback requirements. In production environments, I would also ensure the design minimizes operational risk and aligns with plant change-control practices.

How do you translate a customer's technical requirements into a configuration that delivers business value?

I connect each technical requirement to a defined operational outcome, such as reducing downtime, improving visibility, or accelerating issue response. I validate the required data, configure the solution around measurable use cases, and review results with stakeholders so the implementation remains tied to business value rather than features alone.

How would you provide useful product feedback after supporting multiple customer deployments?

I would identify recurring friction points, capture the customer context and technical evidence, and distinguish defects from enhancement opportunities or documentation gaps. I would provide product and engineering teams with a clear problem statement, impact, reproduction details where applicable, and a recommended priority based on customer and business impact.

### 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 Edge and Litmus Edge Manager for customers across the APAC region.

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 Edge and Litmus Edge Manager 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

• Participate in on-call rotation for customers requiring 24×7 support coverage

• 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

• Able to speak fluently in Japanese and English

• Hands-on experience implementing 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 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

Nice to Have

• Experience with Litmus Edge, Litmus Edge Manager, 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

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

### Reports To: Director of Technical Delivery

Show more

[Apply now >](https://jobicy.com/jobs/152789-customer-success-application-engineer-japan.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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