Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
About the Role
As an early member of Hugging’s Face’s Success team, your goal will be to grow accounts, focusing on larger companies: reducing the likelihood of churn and more importantly upselling to larger services engagements by making recommendations to the decision makers, typically directors of data science and their internal customers. While MLEs in the success team focus on the delivery of the services working hand in hand with the customer data scientists and machine learning engineers, the ML Success Lead will engage with the customer leads and managers to maintain awareness of the value and discuss business problems Hugging Face can help solve or accelerate.
In order to be effective in this role, the ML Success lead needs to be credible and relevant when discussing the applications of transformers and diffusers models to the customer business, understand the work being done by MLEs and translate it into value for the customer business, representing accurately the business opportunities corresponding to the latest models and innovations shipped by the Hugging Face teams - without the need for a “technical” person to break it down for them.
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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 grow continuously. 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.