Forward Deployed Engineer

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:

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Hugging Face

Nanonets Research

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.

• →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.

• 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.

Hybrid (2 days/week in Palo Alto). Bay Area based.
Base salary: $120,000–$160,000, plus equity and benefits.