# MTS - Product - Company: [Collinear Ai]() - Location: Sunnyvale, California · San Francisco, CA - Remote: Yes - Team: Product - Employment type: Full Time - Salary: $150K – $300K - Posted: June 24, 2026 ## Job description ## **About the Role** We are looking for a talented **Member of Technical Staff (MTS - Product)** to build scalable features, interactive environments, and user-facing capabilities. In this role, you will bridge the gap between high-performance backends and intuitive user experiences, allowing our customers to seamlessly configure, simulate, and analyze complex workflows. Your primary focus will be on engineering robust, user-centric product features that translate advanced AI/ML capabilities into a seamless, high-performance web application. ### **Key Responsibilities** * **End-to-End Quality Ownership:** Implement comprehensive automated testing strategies across the entire feature lifecycle—including rigorous unit, integration, and end-to-end (E2E) testing—to guarantee that complex simulation UI and backend states never regress. * **Scalable Product Features:** Architect, build, and maintain robust, user-facing features using Python (FastAPI) and modern frontend frameworks (React/Next.js) to deliver a seamless end-to-end user experience. * **High-Performance Backends:** Design and optimize asynchronous backend services capable of handling intensive workloads, coordinating heavy simulation tasks, and managing real-time data streaming. * **Data & State Management:** Design and optimize both SQL and NoSQL data layers to manage complex user configurations, log high-volume simulation metrics, and retrieve historical telemetry data efficiently. * **API Design & Integration:** Build clean, versioned, and intuitive APIs that connect SimLab’s frontend with core AI/ML orchestration engines and external data sources. * **Edge-Case Resilience:** Proactively architect error-handling mechanisms and defensive code patterns to ensure our products handle unpredictable simulation inputs, high concurrency, and massive datasets without degrading the user experience. * **Product Observability:** Instrument deep telemetry, logging, and error-tracking across the application stack to monitor feature health in production, quickly isolating and resolving quality bottlenecks before they impact users. ### **Add to About You** * **Product Engineering Mindset:** Proven experience in a Full-Stack or Product Engineering role, with a passion for building highly interactive, reliable, and user-facing SaaS products (ideally in the developer tool, simulation, or AI space). * **Obsession with Reliability:** A strong engineering philosophy centered on code correctness and product stability; you don't consider a feature "done" until it is fully tested, documented, and resilient against edge cases. * **Robust Backend Expertise:** Strong software development skills in Python (FastAPI) with a deep understanding of asynchronous programming, concurrent systems, and distributed task queues (e.g., Celery, Redis). * **Data Layer Knowledge:** Solid understanding of relational and non-relational databases (SQL/NoSQL) and query optimization, particularly for handling large-scale simulation outputs or time-series data. * **AI/ML Familiarity:** Prior exposure to AI/ML workflows, training pipelines, or NLP/LLM applications. Experience or a strong interest in interfacing products with Reinforcement Learning (RL) or simulation environments is highly desirable. * **Engineering Culture:** A strong champion of clean code, comprehensive testing (TDD), CI/CD best practices, and building highly maintainable, scalable architectures. * **Adaptability:** Prior experience in a fast-paced startup or top-tier tech environment where you’ve successfully taken features from ambiguity to production-grade deployment. * **Education:** Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. ## Apply [Apply on Collinear Ai]() Canonical job page: