Solutions Engineer (Manufacturing AI)

New York, NY (Preferred) | Atlanta, GA | Chicago, IL | Boston, MA | Minneapolis, MN | Austin, TX | Remote (U.S.)

We are seeking a technically strong Solutions Engineer to help deliver enterprise software solutions for some of the world's leading manufacturers. This is a highly customer-facing role that combines software engineering, systems integration, implementation consulting, and technical problem solving to deploy AI-powered manufacturing solutions at scale.

The ideal candidate is more than a traditional Solutions Engineer. They are a hands-on technical professional capable of writing production-quality code, designing software integrations, and solving complex technical challenges while partnering directly with customers. Candidates with experience in manufacturing, industrial software, Industrial IoT, MES, ERP, or industrial automation will be especially successful in this role.

This is an excellent opportunity to join a fast-growing industrial technology company where you'll work alongside Engineering, Product, Data Science, and Customer Success teams to help manufacturers leverage AI, machine learning, and advanced analytics to optimize production.

• Design, develop, and implement software integrations connecting enterprise manufacturing systems to cloud-based applications.
• Develop APIs, integration services, data pipelines, and automation workflows using Python, SQL, REST APIs, and modern software development practices.
• Serve as the primary technical resource for customer implementations from solution design through deployment and ongoing technical support.
• Partner directly with manufacturing customers to understand production processes, data architecture, operational challenges, and integration requirements.
• Integrate enterprise manufacturing systems including ERP, MES, QMS, historians, SCADA, and other industrial software platforms.
• Build reusable integration tools and connector libraries that improve deployment speed and scalability.
• Collaborate with Data Science teams to configure AI and machine learning solutions that solve manufacturing challenges.
• Troubleshoot complex issues involving distributed systems, networking, APIs, cloud infrastructure, and production data pipelines.
• Analyze large manufacturing datasets to identify data quality issues, diagnose integration failures, and implement technical solutions.
• Work closely with Product and Engineering teams to provide customer feedback and influence future product capabilities.
• Develop technical documentation, implementation guides, and best practices that support scalable customer deployments.
• Participate in customer discovery sessions, technical workshops, and solution architecture discussions.
• Manage multiple implementation projects simultaneously while maintaining exceptional customer communication and project execution.
• Travel to customer manufacturing facilities as needed to support deployments, technical troubleshooting, and solution optimization.

• Bachelor's degree in Computer Science, Software Engineering, Engineering, Information Systems, or a related technical discipline.
• Minimum of 4 years of experience in a customer-facing technical role such as Solutions Engineer, Forward Deployed Engineer, Implementation Engineer, Integration Engineer, Technical Consultant, or similar.
• Strong programming experience using Python and SQL.
• Experience developing and consuming REST APIs and building software integrations.
• Familiarity with Bash, PowerShell, or other scripting languages.
• Experience working with cloud platforms, distributed systems, middleware, and enterprise software integrations.
• Strong analytical skills with experience working with large datasets and troubleshooting complex technical issues.
• Excellent customer communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Strong project management, organization, and problem-solving abilities.
• Comfortable working in a fast-paced startup environment with evolving priorities and ambiguous technical challenges.
• Willingness to travel approximately 25% to 40% to customer sites.
• Must be authorized to work in the United States without current or future employer sponsorship.

• Experience working within manufacturing, industrial automation, Industrial IoT, or smart manufacturing environments.
• Familiarity with ERP, MES, SCADA, QMS, OPC UA, historians, or other manufacturing software platforms.
• Experience with Golang, Google Cloud Platform (GCP), ETL pipelines, or distributed cloud applications.
• Knowledge of AI, machine learning, predictive analytics, or industrial data science applications.
• Experience with manufacturing KPIs such as OEE, downtime analysis, process optimization, or predictive maintenance.
• Experience with Airflow, Databricks, or modern data engineering platforms.
• Previous experience working for a high-growth SaaS or industrial technology company.
• Familiarity with AI coding assistants and modern software development tools.
• Manufacturing or industrial engineering experience is highly preferred and will help accelerate success in the role.

Originally posted on Himalayas