SECTION I · THE BRIEF
Brief #77350Updated 01 JUL 2026PALO ALTO, CAGreenhouseY COMBINATOR
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Sales 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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Sales Engineer - NanoNets

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Job Title
Sales 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

 

About the role

We are looking for a Sales Engineer to work closely with our sales team and assist them in selling this technical product to other companies. A big part of the role will be to understand Nanonets’ product really well, understand customer requirements/goals and build machine learning models on the Nanonets platform to demo capabilities to customers on their own data. This would be instrumental in helping close sales faster.

If you are interested in AI/ML space, good with communication, enjoy tasks with quick wins and love solving a diverse set of problems, this role would be a good fit for you.


Roles and Responsibilities
  • Partner closely with customers as their technical partner to deploy Nanonets to production , helping them rapidly move from ideation to scale.
  • Provide proactive guidance to maximize business impact and accelerate application development.
  • Translate customer requirements into clear documentation (PRDs, workflows, success criteria) for internal teams.
  • Partner closely with Product, Engineering, and Solutions teams to scope work, prioritize requests, and deliver against timelines.
  • Maintain and prioritize backlogs across multiple customer accounts.
  • Plan and communicate project timelines using structured documentation (project plans, trackers, presentations).
  • Ensure end‑to‑end testing and validation of workflows before customer release.

Requirements and Skills
  • 1-3 years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
  • Have passion for startups and a belief in their potential to become future large enterprises.
  • Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
  • Built and/or delivered prototypes on top of our API platform.
  • Can proactively identify opportunities for maximizing our customers’ business value through leveraging the Nanonets API.
  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
  • Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
Additional Information
Hybrid role, (twice a week in our Palo Alto office), based in the Bay Area, CA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $100,000 - $140,0000 per year. This role is also eligible for equity and other 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