AI/ML Developer Advocate

  • 85 Delancey St, New York, NY 10002, USA
  • Full-time

Company Description

Run:AI is bridging the gap between data science and computing infrastructure by creating a high-performance compute virtualization layer for deep learning, speeding the training of neural network models and enabling the development of large AI models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute.

Job Description

Run:AI is seeking an exceptional AI/ML Developer Advocate to join our talented team! We want to win the hearts and minds of AI/ML practitioners everywhere by delivering value through our innovative products and by offering help, advice and valuable insights to the AI/ML & data science community. In this role, you will engage with community members, develop content focused on their specific needs, and by doing so build a following for Run:AI. This is a highly visible role as you will be Run:AI’s first evangelist, establishing the function and bringing our amazing Compute Management Platform to the world. You must be technical by training with a passion for connecting with people in person and on social media. You will build an influencer database and be completely comfortable with outreach to these influencers. AI/ML expertise is a must, experience with Kubernetes is a big plus. Curiosity is your best attribute. 


  • Build, support and inspire a community of ML engineers, developers and data scientists through proactive direct engagement, with a bias toward 'learning and listening'. The goal ultimately would be to create a community of fans and advocates of Run:AI.

  • Establish yourself as a trusted technical peer and community advocate by generating innovative content including short-form social posts, blogs, how-to guides, videos and more - this role is all about content!

  • Think wider than just Run:AI and become an expert in other aspects of AI/ML and the Kubernetes ecosystem in order to help, advise and become a trusted member of the community

  • Develop workshops, lead demos, hackathons and meet-ups to help ML practitioners (MLOps, data scientists, solutions architects…) understand and evaluate our product capabilities 

  • Proactively engage and build relationships with our customers and AI thought leaders and earn their trust

  • Work with product management, UX and engineering to bring customer / community / influencer feedback directly to help make our products better

  • Market intelligence—be the expert on our community and influencers, who they are, how they buy, what they care about and why


  • Technical education and background - expert level hands-on knowledge in AI and Machine Learning

  • Kubernetes experience is a plus

  • 3+ years’ experience managing / building a community preferably for a B2B SaaS company 

  • An excellent writer and communicator - this role involves daily community interaction and weekly blogging, speaking, content writing and editing, and recording demos / videos

  • Video editing skills a plus

  • Comfortable talking to customers

  • Curious!

  • Bonus: Past experience as a data scientist

Additional Information

All your information will be kept confidential according to EEO guidelines.