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Hugging Face

Account Executive, Hub Monetization - US Remote

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Hiring Remotely in New York, NY
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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

At Hugging Face, we’re on a mission to democratize artificial intelligence through open science and open-source collaboration. Our Hub is the fastest-growing platform for machine learning, hosting millions of models, datasets, and applications.As we accelerate our monetization strategy, we're looking for our first Account Executive to join our team in the US and help drive revenue growth by selling our Hub solutions and related enterprise services.

This is a unique opportunity to be one of the first sales leaders in the US, shaping the future of AI while working with cutting-edge companies building the next generation of AI applications.

What You'll Do

  • 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.

About You

You’ll be a great fit if you have:

  • 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 (you don’t need to be an engineer, but you should be comfortable speaking with them).
  • 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.
  • A 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 If You Have

  • 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.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

HQ

Hugging Face New York, New York, USA Office

Downtown Brooklyn is a vibrant, bustling area in the New York City borough of Brooklyn. It serves as the borough's civic and commercial center, as well as a major transportation hub, which means you can get anywhere in NYC from our office!

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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