Account Executive, Hub Monetization - US Remote at Hugging Face

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, Technology, SaaSIndustries

Requirements

Bachelor’s degree in Business, Engineering, Computer Science, or a related field
4+ years of experience in B2B sales in the AI, ML, or data science communities in the US (ideally in developer tools, open-source, or AI/ML platforms)
Proven track record of meeting or exceeding quota in complex, technical sales environments
Strong understanding of machine learning, AI, or software development workflows (comfortable speaking with engineers)
Experience selling to technical buyers (e.g., ML engineers, data scientists, CTOs, DevOps)
Exceptional communication and negotiation skills, with the ability to translate technical capabilities into business value
Consultative sales approach—focused on understanding customer needs and delivering tailored solutions
Self-starter mentality with the ability to operate independently in a rapidly evolving startup environment
Bonus Points
Prior experience selling open-source products
Familiarity with tools like Salesforce, Gong, Slack, and LinkedIn Sales Navigator
Hands-on experience with APIs, Git, or command-line tools
Proficiency in SQL, Python, or other data analysis tools

Responsibilities

Own the full sales cycle—from prospecting to close—for new and existing customers across the US
Drive revenue growth by selling Hugging Face’s Hub offerings, including enterprise access, private spaces, team plans, and professional services
Build trusted advisor relationships with technical and business stakeholders at high-growth startups, scale-ups, and enterprises
Collaborate closely with marketing, product, and engineering teams to shape go-to-market strategies and align customer needs with product development
Identify and act on market trends, customer feedback, and data insights to optimize sales strategies and improve conversion
Partner with Developer Relations and Customer Success to ensure seamless onboarding and long-term customer satisfaction
Represent Hugging Face at industry events, webinars, and customer meetings to expand brand presence and pipeline

Skills

Key technologies and capabilities for this role

SalesAccount ExecutiveProspectingRevenue GrowthEnterprise SalesB2B SalesGo-to-MarketCustomer SuccessAIMachine Learning

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a US remote position.

What experience is required for this role?

Candidates need 4+ years of B2B sales experience in AI, ML, or data science communities in the US, ideally in developer tools, open-source, or AI/ML platforms, plus a proven track record of meeting quota in complex technical sales.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the company culture at Hugging Face feel like?

Hugging Face emphasizes open science, open-source collaboration, and a rapidly evolving startup environment where you'll collaborate closely with marketing, product, and engineering teams.

What makes a strong candidate for this Account Executive role?

A strong candidate has a Bachelor’s degree, experience selling to technical buyers like ML engineers and CTOs, exceptional communication skills to translate technical capabilities into business value, and a consultative sales approach.

Hugging Face

Develops advanced NLP models for text tasks

About Hugging Face

Hugging Face develops machine learning models focused on understanding and generating human-like text. Their main products include advanced natural language processing (NLP) models like GPT-2 and XLNet, which can perform tasks such as text completion, translation, and summarization. Users can access these models through a web application and a repository, making it easy to integrate AI into various applications. Unlike many competitors, Hugging Face offers a freemium model, allowing users to access basic features for free while providing subscription plans for advanced functionalities. The company also tailors solutions for large organizations, including custom model training. Hugging Face aims to empower researchers, developers, and enterprises to utilize machine learning for text-related tasks.

New York City, New YorkHeadquarters

2016Year Founded

$384.9MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave

Risks

Salesforce's exclusive partnerships may limit Hugging Face's access to training datasets.

Microsoft's rStar-Math technique could outperform Hugging Face's NLP models in specific tasks.

DeepSeek-V3's release may intensify competition in the ultra-large model space.

Differentiation

Hugging Face offers a massive library of over one million AI models.

The company provides a thriving online community for open-source AI collaboration.

Hugging Face's freemium model allows easy access to advanced NLP tools.

Upsides

Collaboration with Microsoft could enhance small model performance in mathematical reasoning.

Partnership with DeepSeek may boost Hugging Face's ultra-large model capabilities.

Integration with Salesforce's ProVision could improve multimodal AI capabilities.

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