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Salary: USD 95,000 - 160,000 / annual
Oden Technologies is a Manufacturing AI company building real-time applications that combine process and context data with advanced ML and AI algorithms to help manufacturing operations teams monitor, analyze, and optimize production. The company is at the forefront of the fourth industrial revolution in manufacturing.
The Solutions Engineer is a core member of Oden's post-sales team, responsible for delivering the technical work that makes enterprise manufacturing customers successful. You will serve as the primary technical resource on assigned accounts, working in close partnership with Solutions Managers and Customer Success Engineers. On smaller accounts, you'll be the main technical resource; on larger, multi-site programs, you'll execute as part of a coordinated team.
Key Responsibilities:
Customer Partnership: Serve as the primary technical resource from discovery through deployment and ongoing support. Build trusted relationships with customer technical leads, IT teams, and manufacturing operations stakeholders. Proactively surface technical risks and blockers early.
Technical Solution Design and Implementation: Collaborate with Sales, Data Science, and Product Engineering to understand customer use cases and data integration requirements. Design and implement technical solutions that integrate data sources to Oden's cloud endpoints, including system configurations and data architecture. Oversee integration with existing manufacturing systems (ERP, MES, QMS platforms). Develop and maintain connector libraries that interface Oden with common manufacturing and enterprise systems. Work with Data Science to design solutions including AI and ML models, configuring and customizing the platform to align with customer workflows and drive value.
Post-Implementation Support and Product Feedback: Serve as a subject matter expert on Oden's architecture, APIs, and data models. Troubleshoot technical issues across networking, data pipelines, QA, and system configurations, both remotely and on-site. Independently triage issues and deploy fixes. Translate field observations into actionable feedback for Product and Engineering. Work directly with the product engineering team to drive updates and improvements.
Documentation: Develop and maintain integration documentation and solution design documentation to support repeatable, scalable deployments. Continuously update documentation based on customer feedback and lessons learned.
Required Qualifications:
- 4+ years of experience in a technical customer-facing role (Solutions Engineer, Forward Deployed Engineer, Implementation Engineer, Technical Consultant, or similar) supporting enterprise SaaS deployments or digital transformation projects
- Programming experience: Python, Golang or equivalent, SQL, REST APIs, familiarity with Bash and terminal-based workflows, AI-powered coding assistants
- Strong experience with large datasets—management, processing, analysis—using off-the-shelf analytical tools, including AI tools
- Experience with distributed systems, middleware and integration toolsets, Windows and Linux operating systems, enterprise networking and troubleshooting, and deploying and maintaining remote applications. Strong experience understanding and debugging issues with performance, correctness, and reliability of integrations. Comfortable with Google Cloud
- Technically strong and comfortable working independently on complex integration problems
- Strong written communication skills: technical documentation, customer-facing summaries, and internal knowledge sharing
- Strong project management and self-organization skills; able to manage multiple accounts and priorities simultaneously
- Comfortable in ambiguous, fast-moving environments where requirements shift
- Willingness to travel to customer sites ~25–40% depending on deployment phase
- Hold a US driver's license
- Based in NYC metro, Atlanta, Chicago, Austin, Boston, or Minneapolis
Nice to Have:
- Direct experience working in manufacturing operations, industrial engineering, reliability, or OT
- Customer-facing exposure to manufacturing, field management, construction, or other operational technology environments
- Familiarity with OEE, fault analysis, predictive analytics, or production AI use cases in manufacturing
- Experience with data pipeline tooling (Airflow, Databricks, or similar) and BI or dashboard platforms
- Prior experience at a growth-stage industrial technology or SaaS company (30–200 people)
- Experience contributing to product feedback loops and roadmap prioritization in a customer-facing role
