Hub Success Engineer - US Remote
At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 10 million users & 100k organizations who collectively shared over 2M models, 500k datasets & 300k apps. Our open-source libraries have more than 600k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.
About the Role
We’re looking for a Hub Success Engineer passionate about technology and solution-oriented, to support our enterprise customers in adopting, integrating, and optimizing their workflows on the Hugging Face Hub.
This strategic role combines technical expertise, business acumen, and exceptional relationship skills. You’ll be at the heart of our B2B growth, working closely with product, engineering, sales, and security teams.
Your Key Responsibilities
- Support strategic customers in their use of the Hugging Face Hub (models, datasets, spaces, APIs), from onboarding to large-scale production deployment.
- Work closely with product and engineering teams to gather customer feedback, influence the roadmap, and co-create critical features (e.g., monetization, permission management, advanced security).
- Ensure stability, scalability, and security of customer deployments, especially for demanding use cases (enterprise, private cloud, regulated environments).
- Develop technical resources (guides, notebooks, templates) to empower users and drive adoption.
- Act as the voice of our customers internally, translating their business needs (growth, incremental revenue, innovation) into clear technical requirements.
About You
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3–5 years of experience in a customer-facing technical role: Customer Success Engineer, Solutions Engineer, Technical Account Manager, or DevRel in a SaaS, AI/ML, or cloud infrastructure environment.
- Familiarity with platforms for collaborating on models or datasets (you’ve used or contributed to the Hugging Face Hub heavily in the past).
- Technical skills in Typescript, Node.js or Python
- Excellent communication skills, able to engage with both engineers and technical decision-makers.
- Strong customer service mindset, proactive attitude, and ability to thrive in a fast-paced, evolving environment.
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. 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 12 weeks of parental leave (20 for birthing mothers) and unlimited 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.
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