Developer Advocate Engineer, Hub/Enterprise - EMEA Remote

Hugging Face; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Hugging Face seeks a Developer Advocate Engineer to enhance the adoption of their platform through engaging technical content and community engagement. The role emphasizes creating tutorials, demos, and building relationships within the developer ecosystem, aimed at showcasing the company's innovative ML products.

Benefits

Flexible working hours

Health, dental, and vision benefits

Parental leave

Employee equity options

Reimbursement for conferences and training

Qualifications

• Proven ability to create engaging and technically accurate content.
• Versatile engineer with a strong understanding of developer needs.
• Passion for machine learning products and effective resource creation.

Responsibilities

• Create technical content like documentation, blog posts, and videos.
• Design demos showcasing Hugging Face Hub capabilities.
• Engage with the developer ecosystem to build awareness.

Skills

Content Creation

Communication

Developer Empathy

Technical Writing

ML Evangelism

Education

Bachelor's degree in a relevant field

Job description

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

As a Developer Advocate Engineer, you will be a pivotal force in driving the adoption and amplifying awareness of the Hugging Face Hub and our paid offerings (like the Hugging Face Enterprise Hub and our new Inference Providers feature). Your primary focus will be on creating compelling technical content to showcase the Hub's capabilities and our paid solutions. This role involves collaborating across teams, including Product, Infrastructure, and Open Source. Your day-to-day responsibilities will include:

1. Technical Content Creation: Authoring documentation, blog posts, tutorials, articles, and creating engaging videos and presentations for conferences and webinars. All content aims to educate, inspire, and convert potential users into active adopters of the Hub and our Enterprise solutions, clearly articulating benefits for various user and enterprise needs.
2. Engaging Demos and Prototypes: Designing and developing demos and prototypes that showcase the power and versatility of the Hugging Face Hub, with easy-to-use code repositories for developers to replicate and build upon. These demos will illustrate pathways to value, such as leveraging our Inference Providers for streamlined model access.
3. Ecosystem Engagement and Awareness Building: Proactively identifying and cultivating relationships within the developer ecosystem. Sharing your content and demos widely, engaging in relevant communities, and participating in events to increase visibility, build awareness, and drive new user acquisition for the Hub and its paid features.

About you

You’ll work with a supportive team of engineers and a vast ecosystem while enjoying a lot of autonomy. This position is ideal for someone who is:

• An Exceptional Content Creator and Communicator: Proven ability to create clear, engaging, and technically accurate content (written, code, video) that resonates with developers. You excel at explaining complex topics simply.
• Generalist Engineer with Developer Empathy: Versatile and empathetic, with a strong understanding of developers' needs, pain points, and learning processes.
• Enthusiastic Evangelist for ML-Focused Products: Passionate about working on cutting-edge ML products and demonstrating their value to diverse audiences through compelling content and demos.
• Developer-First and Growth-Oriented Mindset: Dedicated to empowering developers through excellent resources, with a focus on driving adoption and expanding our community through educational outreach.
• Adoption, Accessibility, and Awareness Advocate: Committed to creating resources that are technically sound, highly accessible, discoverable, and effective in driving widespread adoption.
• Product, Technical, and Content Ownership: Strong sense of ownership and responsibility for the quality and impact of your content and its role in the product's market success.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might make the biggest impact.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally creating a workplace where you 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, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability 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 provide 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 your success.

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 shares in the upside.