Senior Developer Advocate driving developer advocacy efforts for Anyscale across EMEA. Focusing on AI infrastructure and engaging the developer community.
Responsibilities
Own EMEA Advocacy Execution
Execute the EMEA Developer Advocacy strategy in close alignment with the global DevRel team
Define, track, and report on KPIs for EMEA advocacy activities (community growth, engagement, content impact, and adoption signals)
Design and implement instrumentation to measure and communicate the impact of your work
Be a Public Technical Voice
Represent Ray and Anyscale across EMEA as a trusted technical advocate
Build a strong presence on X, LinkedIn, blogs, and other developer-facing platforms
Speak at meetups, conferences, hackathons, and customer events throughout the region
Tell Real Developer Stories
Partner with external Ray users to produce high-quality technical content, including engineering blogs, talks, and case studies
Showcase real-world use cases in AI infrastructure, ML platforms, LLM training, inference, and GenAI workflows
Build and Ship Technical Content
Collaborate with the Solutions and Engineering teams to build reference implementations, demos, and example applications
Stay hands-on with Ray and Anyscale products by writing code, reviewing architectures, and validating technical correctness
Grow the Ray Community in EMEA
Help nurture and expand Ray’s developer community across Slack, GitHub, discuss.ray.io, and other online channels
Engage directly with developers, startups, and enterprise users to gather feedback and surface insights to Engineering and Product
Lead Regional, In-Person Engagements
Plan and execute EMEA-focused meetups, workshops, hackathons, and regional conference presence
Travel regularly across EMEA to engage with users and developer communities (expected travel up to ~30%)
Requirements
Extensive experience in Developer Relations / Developer Advocacy, ideally for open-source or developer-first platforms
Strong technical background in distributed systems, data platforms, and machine learning
Hands-on software development experience, with the ability to build, assess, and explain real systems
Familiarity with modern AI workloads, including LLM training, inference, and GenAI pipelines
Proven ability to communicate complex technical concepts through writing, speaking, and live demos
Comfortable operating independently while collaborating across global, distributed teams
Experience engaging developers across multiple countries and cultures in EMEA
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