Chat, compare, vote for the world's best AI models. Join the community shaping the public leaderboard for LLMs, image, and code models through real-world evaluation. Backed by Techstars and CRV.
About the role
Arena is looking for an Event/Field Marketing Manager to bring Arena to life in person. Our community of millions is mostly online, and the people who rely on our evaluations (AI researchers, developers, creative professionals, and the teams at leading labs and enterprises) gather at a handful of events each year. In this role, you will own how Arena shows up in those rooms and create new ones of our own, from community meetups in the Bay Area to a major presence at the industry’s biggest conferences. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of experience in event marketing, field marketing, or experiential marketing, ideally at a tech company in AI, developer tools, SaaS, or data-driven products
- Must be based in, or willing to relocate to, the SF Bay Area, and willing to work on-site at our downtown office
- Track record of planning and executing events of different sizes, from intimate VIP dinners to large conference programs, on time and within budget
- Experience managing budgets, vendors, venues, and contracts, with strong attention to detail and logistics
- Experience marketing to technical audiences such as researchers, engineers, and developers, and the instincts to build events they want to attend
- Ability to measure event performance and connect it to business outcomes such as community growth, user activation, and pipeline
More about this role
Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it.
Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do.
We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office...
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