SECTION I · THE BRIEF
Brief #17228Updated 01 JUL 2026PALO ALTO, CAGreenhouseY COMBINATOR
Employbl Dossier

Forward Deployed Engineer

Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, they serve up the most…

Location
Palo Alto, CA
Company size
100–500
Posted
2d ago
Via
Greenhouse
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Forward Deployed Engineer - NanoNets

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Job Title
Forward Deployed Engineer
Job Location
Palo Alto, CA
Job Description

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:

Youtube

Hugging Face

Nanonets Research

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.

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NanoNets Headquarters Location

San Francisco, CA

View company profile

NanoNets Company Size

Between 100 - 500 employees

NanoNets Founded Year

2017

NanoNets Total Amount Raised

$40,500,000

NanoNets Funding Rounds

View funding details
  • Series B

    $29,000,000 USD

  • Series B

    $29,000,000 USD

  • Series A

    $10,000,000 USD

  • Series A

    $10,000,000 USD

  • Seed

    $1,380,000 USD

  • Seed

    $1,380,000 USD

  • Seed

    $120,000 USD

  • Seed

    $120,000 USD