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Solutions Engineer
Skills
SQLSoftware As A ServiceArtificial IntelligenceEngineeringHTMLImplementation PlanningLinux
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 4+ years in a technical customer-facing role supporting enterprise SaaS deployments or digital transformation projects
- Customer-facing exposure to manufacturing field management construction or other operational technology environments
- Programming experience with Python or equivalent SQL REST APIs and familiarity with Bash and terminal-based workflows
- Experience with middleware and integration toolsets Windows and Linux operating systems enterprise networking and troubleshooting and remote application deployment
- Ability to work independently on complex integration problems and communicate clearly with technical and non-technical stakeholders
- Strong written communication skills for technical documentation customer summaries and internal knowledge sharing
- Strong project management and self-organisation skills with ability to manage multiple accounts and priorities
- Comfortable in ambiguous fast-moving environments where requirements shift
- Willingness to travel to customer sites 25–40% depending on deployment phase
- Hold a US drivers license
- Authorized to work in the United States without visa sponsorship
Nice to have
- manufacturing operations experience
- industrial engineering background
- OT experience
- OEE familiarity
- fault analysis knowledge
- predictive analytics exposure
- production AI use cases
- data pipeline tooling experience
- growth-stage company experience
- roadmap feedback experience
Day to day
- Serve as the primary technical resource for enterprise manufacturing accounts, guiding discovery, solution design, deployment, integration, and ongoing technical support
- Design and implement integrations between the Oden platform and customer systems such as ERP MES and QMS while configuring workflows data architecture and cloud endpoints
- Troubleshoot complex issues across networking data pipelines and system configurations, translate field feedback into product improvements, and maintain clear integration documentation
