Forward Deployed Engineer

We're seeking a Forward Deployed Engineer to work directly with customers, helping them integrate Plexe and build complete ML pipelines using our platform. You'll be part technical consultant, part solutions architect, and part implementation partner—traveling to customer sites, understanding their unique challenges, and ensuring they achieve success with our ML Engineering platform. If you love solving complex problems in real-world environments and thrive on customer interaction, this role is for you. What You'll Do: * **Customer Engagement:** Visit customer sites to understand their ML workflows, pain points, and business objectives. You'll be the technical face of Plexe, building relationships and trust with engineering teams. * **Integration & Implementation:** Help customers integrate Plexe into their existing infrastructure and build end-to-end ML pipelines using our multi-agent platform. You'll work hands-on with their data, models, and systems. * **Solution Architecture:** Design custom ML pipeline solutions that leverage Plexe's capabilities while fitting seamlessly into customer environments. Each implementation will be unique to their specific needs. * **Technical Support & Training:** Provide ongoing technical support, conduct training sessions, and create documentation to ensure customers can effectively use and maintain their Plexe implementations. * **Product Feedback Loop:** Capture customer requirements, pain points, and feature requests to inform our product roadmap. You'll be the voice of the customer within our engineering team.

At Plexe, we're building the future of machine learning development. We're enabling anyone to create production-ready ML models using natural language instructions. Our multi-agent system autonomously handles everything from data preprocessing to model deployment, reducing development time from months to hours. We were recently featured in Business Insider as one of the top 10 AI agent startups at Y Combinator's Spring 2025 Demo Day and our customers are already building complex, real-world ML solutions.