Forward Deployed Engineer

Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 35% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes. The Role We're looking for a technically strong, customer-focused Forward Deployed Engineer to help enterprise customers build and scale Agentic AI — from first conversation to production. What You'll Do Be the technical partner for customers, driving deployments from ideation to production. Translate customer problems into clear requirements (PRDs, workflows, success criteria) and build them. Collaborate with Product, Engineering, and Solutions teams to scope, prioritize, and deliver on time. Maintain structured project documentation — plans, trackers, and status updates. Own end-to-end testing and validation before every customer release. What We're Looking For 1+ years as a Forward Deployed Engineer, software engineer, ML engineer or equivalent — startup experience preferred; founder or founding engineer background is a plus. Proficiency in at least one language: Python, Go, JavaScript, or similar. Ability to proactively surface customer challenges during onboarding. End-to-end ownership mindset — you figure out what you don't know and get it done. A humble, collaborative attitude with a high-output, multi-project operating style. Details Hybrid (2 days/week in Palo Alto). Bay Area based. Base salary: $120,000–$160,000, plus equity and benefits.