Solutions Engineer

About StartProto StartProto is building the first agentic AI Manufacturing OS—a modern operating system that models how manufacturing works, optimizes every workflow, and deploys AI agents that keep shops running at peak capacity. Our customers manufacture components for medical devices, aerospace, robotics, defense, and other advanced industrial systems. We help them unlock capacity, improve reliability, and modernize operations. Our mission is simple: give manufacturers the intelligent, modern software they deserve. We're a lean team of builders solving real production problems at scale. If you want high agency at a fast-growing pre-Series A company transforming an essential industry, we'd love to meet you. This role requires adherence to security and privacy standards. U.S. Citizenship or Green Cardholder status is required for certain regulated activities. The Opportunity StartProto is seeking an experienced Solutions Engineer who thrives at the intersection of technical problem-solving, manufacturing workflows, AI-driven automation, and customer collaboration. You will work hands‑on with customers from pre‑sale through long‑term adoption, helping them implement StartProto across their shop, integrate their existing systems, migrate data, and configure workflows optimized for real‑world production environments. This role blends implementation engineering, systems integration, data modeling, and customer‑facing consulting. You will serve as the trusted technical partner to shop owners, operators, and engineers adopting StartProto's platform—ensuring they see value quickly and consistently. Because we are a small, high‑ownership team, you will directly influence product direction, customer success playbooks, and integration strategy. What You'll Do Customer Implementations & Technical Guidance Lead customers through onboarding: data migration, system configuration, workflow modeling, and technical validation Scope, design, and implement custom integrations between StartProto and customer systems (ERP, MES, QA tools, CNC systems, scheduling tools, etc.) Translate complex manufacturing processes into StartProto workflows and AI‑agentic actions Diagnose technical issues across data, APIs, and integrations; resolve problems in collaboration with engineering Cross‑Functional Collaboration Partner with Sales to provide technical expertise during the sales cycle: discovery, demos, proof‑of‑concept builds, and edge‑case evaluation Work closely with Product and Engineering to shape roadmap decisions based on real‑world manufacturing requirements Collaborate with Customer Success to accelerate value realization and ensure successful long‑term adoption Technical Enablement & Documentation Develop internal playbooks for implementations, data pipelines, and system configurations Create customer‑facing guides, best practices, and technical resources to improve onboarding speed and reliability Contribute to tooling and frameworks that streamline deployment, monitoring, and troubleshooting Who You Are A technical generalist who enjoys working directly with customers Comfortable diving into data models, APIs, integrations, and system debugging Able to translate manufacturing needs into elegant, scalable solutions A clear communicator who can build trust with both technical and non‑technical stakeholders Energized by startup pace, ambiguity, and the ability to shape process from the ground up Qualifications Required 2+ years in a customer‑facing technical role (Solutions Engineer, Solutions Architect, Technical Account Manager, Integrations Engineer, etc.) Proficiency with Python, REST APIs, and scripting for integrations or automation Strong SQL skills and experience working with operational or production data Experience with ERP, MES, CRM, or manufacturing‑related systems—or deep exposure to complex business workflows Ability to design, implement, and troubleshoot integrations across cloud services and third‑party platforms Demonstrated ability to lead customers through technical onboarding and solution design Preferred Experience with manufacturing, CNC workflows, scheduling systems, or industrial automation Familiarity with NoSQL databases (MongoDB), event‑driven systems, or streaming data architectures Knowledge of cloud environments (AWS, Azure, or GCP) Exposure to AI/LLM‑driven workflows, agentic systems, or automation frameworks Comfort developing customer‑facing documentation, training materials, or technical best practices How Success Will Be Measured Speed and quality of customer implementations Stability and reliability of integrations and data pipelines Customer satisfaction and long‑term adoption Collaboration effectiveness with Sales, Product, and Engineering Reduction in onboarding friction and improved time‑to‑value Contribution to scalable implementation and support processes #J-18808-Ljbffr Enboarder