Tech Executive Assistant to CTO

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.

What you’ll be doing

You’ll be the driving force helping our CTO to stay focused on achieving their objectives and making sure their operations are running smoothly. You’ll work side-by-side with the CTO to maximise their effectiveness and enable them to do their best work. Using your organisational skills, you’ll remove all administrative pressures from their life, balance their responsibilities, and deal with any issues before they arise. You’ll identify gaps, initiate change and streamline processes. Being the CTO’s trusted advisor and a sounding board for feedback, you’ll amplify their communication and ensure their vision is implemented across the organisation.

You’ll be embedded into the Engineering function and report directly to the CTO. In this role, you’ll get to take on various projects within the Engineering organisation, work closely with the CTO’s direct team and become deeply involved in the business. As an EA, the connections you build and relationships you develop will be the key to the success in this role.

Who you are

You’ll enjoy working with us if you want to work at a fast-growing startup. You are passionate about Machine learning and AI, and you are interested in learning more about the Tech behind it. You have strong communications and interpersonal skills, like to identify problems and solve them, and have the ability to confidentially handle sensitive and non-routine information. You should have top-notch executive support or office experience (experience with GSuite and Zoom), a positive and can-do attitude, and a no-job-is-too-big-or-too-small mindset. You’re excited to work with team members all over the globe, have worked at a high-growth tech company before, and have a strong bias for action, impact, and execution. An interest for the AI/Machine Learning world and/or Software engineering will be a great plus for this role.

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 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.