Community Manager / Technical Evangelist
- HaArba'a St 17, Tel Aviv-Yafo, Israel
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.
Run:AI is seeking an exceptional Technical Evangelist to join our talented team! We want to win the hearts and minds of Machine Learning practitioners everywhere by delivering value through our innovative products and by offering help, advice and valuable insights to the ML / DL 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. Kubernetes expertise is a must, experience with ML / DL 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 ML / DL 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 AI thought leaders and earn their trust
Work with product management, UX and engineering to bring 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 of containers and Kubernetes
Interest in AI and Machine Learning, experience in this field is a plus
3+ years’ experience managing / building a community 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
All your information will be kept confidential according to EEO guidelines.