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Developer Advocate

Lead efforts to grow and activate the Ray community in the AI infrastructure domain.
San Francisco, California, United States
Senior
1 month ago
Anyscale

Anyscale

Ray is the most popular open source framework for scaling and productionizing AI workloads.

✨ About The Role

- Lead the Developer Advocacy function at Anyscale, focusing on growing and activating the Ray community, particularly in the AI infrastructure and applications domain - Define and execute strategy development, set KPIs for Dev Advocacy activities, and work closely with external Ray users to share their stories - Design and implement instrumentation for tracking and reporting on KPIs, be the first to try Ray features, and provide feedback to the Solutions team - Build and nurture a vibrant developer community around Ray and Anyscale, maintain an active online community, and lead in-person efforts such as meetups, Hackathons, and conferences - Collaborate with Engineering to maintain an active online community, engage with developers through social media channels, and help build a strong Developer Advocate team in 2024

⚡ Requirements

- Extensive experience in developer relations and advocacy for open source technologies, with a strong technical background in distributed systems and machine learning - Demonstrated leadership skills, including people management, and the ability to effectively communicate and share work with a broader audience through writing and speaking - Proficiency in software development, with the capability to build and assess technical solutions - Experience in leading and executing strategies to grow and activate developer communities, especially in the domain of AI infrastructure and applications - A proactive individual who can work closely with external users, write about their experiences, and engage with developers through various social media channels
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Developer Advocate
San Francisco, California, United States
Software
About Anyscale
Ray is the most popular open source framework for scaling and productionizing AI workloads.