Hardware Partnerships Program Manager - US remote

Posted 2 Days Ago
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France
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
Hugging Face is the leading open platform for AI builders.
The Role
The Hardware Partnerships Program Manager at Hugging Face will drive strategic partnerships, coordinate with internal teams, and operationalize go-to-market strategies to enhance partnership impacts and revenue. The role involves customer-facing interactions and collaboration with major tech partners to develop joint roadmaps and promote Hugging Face's partnerships.
Summary Generated by Built In

Description

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 more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.

Hugging Face sells compute infrastructure and services for companies to build their own AI with open source. Our strategy is to build an open platform for customers to leverage Hugging Face models and libraries on their chosen computing platform. Hugging Face collaborates with key partners from Chip to Cloud to make Hugging Face models easier and cheaper to use, including AWS, Azure, Dell, NVIDIA, AMD and Intel.

About the Role

We seek an experienced product, program or project manager to drive Hugging Face's strategic partnerships operations and success and work closely and coordinate our internal engineering, success, sales, finance, and operations teams with our partners. You will work at the intersection of go-to-market and machine learning engineering and contribute to the company's growth by making our partnerships as successful and impactful as possible. You will develop and implement co-selling strategies to drive revenue for Hugging Face and our partners.

The Hardware Program Manager will operationalize all partnerships' go-to-market goals. You will also be a primary interface for developing and maintaining the business relationship, joint product roadmap collaboration, and customer-facing activities. 

The Hardware Program Manager will be responsible for the partnership impact and proactively find ways to drive revenue growth.

About You

We are looking for candidates who are rigorous, autonomous, proactive, and who love collaborating with various stakeholders on varied topics (engineering, marketing, finance…), and confident in customer-facing interactions including on deeply technical topics.

A good candidate for this role will be a self-motivated, action-driven, pragmatic, strong contributor who enjoys growing complex relationships. In this role, you will be responsible for driving Hugging Face's growth with its most important strategic partners such as AMD, Nvidia or Intel. Experience with deep learning and open-source projects is valued.

If you're interested in joining us but your experience differs from the traditional mold, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another, and we value and encourage having multiple perspectives. We're happy to consider where you might be able to have the most impact.

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.

Top Skills

Machine Learning
The Company
HQ: Brooklyn, NY
175 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

Hugging Face is the leading open platform for AI builders.

For researchers, Hugging Face is the place to publish models and collaborate with the community. For data scientists, it’s where you can explore over 300k off-the-shelf models for any machine learning task and create your own. For software developers, it’s where you can turn data and models into applications and features.

Today, we host over 1 million models, datasets, and applications (including the latest Large Language Models and creative Generative AI experiences) that millions of people use every month. Our mission is to democratize good machine learning. We do this through open science (with projects like BigScience and BigCode), open source (with libraries like transformers, diffusers), and our commercial products and services to accelerate the adoption of good machine learning at companies.

Why Work With Us

We are a decentralized, global, hybrid company that wants you to spend your day focused on the work that excites you. We have an asynchronous communication style and an experimentation-heavy culture. We have a strong bias for impact, a generalist & diverse mindset, and a kind ambition.

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