Founding Engineer

We are partnering with an early-stage, well-funded startup building the interface for the next generation of enterprise decision-making, powered by behavioral simulations and LLMs. The company is working with its first enterprise customers and is hiring a Founding Engineer to turn its initial product into a scalable, production-ready platform. You will join a small founding team, work directly with experienced founders and researchers, and help shape the company’s technical foundation. The role You will own both the customer-facing product and the platform behind it, bringing the MVP into production and building the architecture needed to support additional enterprise customers. This is a hands-on role spanning full-stack product development, data infrastructure, cloud deployment and AI model operations. You should be comfortable making technical decisions independently, working directly with customers and turning ambiguous requirements into a polished product. What you’ll own Build and evolve the customer-facing application, from data model to user interface Own the cloud platform, including infrastructure as code, deployments, CI/CD, observability and security Design a scalable, multi-tenant architecture and efficient customer onboarding process Transform complex customer data into reliable, model-ready datasets Build and maintain the data pipelines and analytical systems supporting the product Deploy, monitor and retrain machine learning models with the research team Establish strong standards for architecture, testing, code review and production reliability Work with founders, researchers and customers to prioritize features and bring feedback into the product Use AI-assisted development tools while maintaining full accountability for code quality What we’re looking for 5-8+ years of software engineering experience Experience shipping a data-heavy B2B or enterprise product from an early stage through production Strong TypeScript, React, Next.js and PostgreSQL experience Hands-on Python experience for data processing, ideally including pandas, SQL or DuckDB Experience building data pipelines and transforming messy customer data into dependable datasets Experience with infrastructure as code and cloud platforms; Azure is preferred Familiarity with CI/CD, observability, application security and production operations Experience deploying or supporting AI and machine learning models in production Strong product judgment and the ability to build an intuitive, polished interface Confidence working directly with enterprise customers and communicating technical concepts clearly You may be particularly well suited if you have Worked as a Founding Engineer, early engineer, technical lead or senior product engineer at an early-stage startup Built enterprise AI, analytics, workflow or decision-support products Owned a product across frontend, backend, data and infrastructure Turned customer-specific implementations into reusable platform capabilities Operated effectively within a small team with significant autonomy #J-18808-Ljbffr kadence