NanoNets

1 month ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Technical customer-fronting engineer who deploys Nanonets to production, guides startups from ideation to scale, and translates customer requirements into documented plans while collaborating with product, engineering, and sales to deliver high-impact AI solutions built on the Nanonets API.

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Salary: EUR 80,000 - 120,000 annually

Key Requirements

•5+ 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.
•Passion for startups and belief in their potential to become future large enterprises.
•Proficiency in Python and JavaScript, with a strong grasp of AI/LLM best practices.
•Built and/or delivered prototypes on top of the Nanonets API platform.
•Ability to identify opportunities to maximize customer business value through leveraging the Nanonets API.

Experience:5+ yearsStartupsAI

Skills:CommunicationProblem-solvingTeamworkPrioritization

Languages:English

Tech Stack:PythonJavaScriptAPIAILLM

Company Brief

NanoNets

Provides AI-based document automation and OCR solutions to extract data from invoices, receipts, forms, and documents using customizable machine learning models and APIs for enterprise workflows.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Boston, United States

Website LinkedIn

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NanoNets

1 month ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: France

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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.

Pay and Benefits

Salary: EUR 80,000 - 120,000 annually

Key Requirements

•5+ 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.
•Passion for startups and belief in their potential to become future large enterprises.
•Proficiency in Python and JavaScript, with a strong grasp of AI/LLM best practices.
•Built and/or delivered prototypes on top of the Nanonets API platform.
•Ability to identify opportunities to maximize customer business value through leveraging the Nanonets API.

Experience:5+ yearsStartupsAI

Skills:CommunicationProblem-solvingTeamworkPrioritization

Languages:English

Tech Stack:PythonJavaScriptAPIAILLM

Company Brief

NanoNets

Provides AI-based document automation and OCR solutions to extract data from invoices, receipts, forms, and documents using customizable machine learning models and APIs for enterprise workflows.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Boston, United States

Website LinkedIn