Forward Deployed Engineer at Nanonets is a full-time, hybrid role based in Palo Alto, partnering closely with enterprise customers to deploy and scale Agentic AI from first conversation to production. You’ll translate customer problems into PRDs and workflows, own end-to-end testing, and collaborate with Product, Engineering, and Solutions teams to deliver on time. Nanonets emphasizes hands-on ownership, a humble, collaborative vibe, and a multi-project cadence. Ideal candidates have 1+ year FDE or similar, startup or founding-experience preferred, and proficiency in Python, Go, or JavaScript. To apply, highlight concrete deployments, customer onboarding successes, structured docs, and your ability to surface hidden challenges; show you can thrive onsite two days a week and in cross-functional settings, with equity interest a plus.
About Us
Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.
Nanonets agents handle the exceptions other tools miss, reducing processing time by 94% and delivering clean data to SAP, Salesforce, or any system of record.
That's why global enterprises reach for Nanonets when workflows are complex and accuracy is non-negotiable.
Learn more about us here:
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
What We're Looking For
Details
Hybrid (2 days/week in Palo Alto). Bay Area based.
Base salary: $120,000–$160,000, plus equity and benefits.