About the Role:

Arena is looking for a Product Marketer to shape how millions of people understand, experience, and evaluate AI models in the real world. In this role, you will own the Arena narrative, helping clarify what the product does, why it matters, and how people should use it to evaluate and use frontier AI models for their actual real-world needs.

As a key member of the growing Marketing team, reporting to the Head of Product Marketing, you will sit at the intersection of product, data, community, and storytelling. Your work will directly influence how users discover Arena, how they move through the product, and how clearly they understand model strengths, tradeoffs, and use cases to keep our audiences engaged.

This is a high-impact role focused on making Arena intuitive, credible, and indispensable to knowledge workers that want to stay at the forefront of AI. You’ll translate complex systems—crowdsourced voting, dynamic leaderboards, model routing, and evaluation methodology—into clear value for users, while preserving the scientific rigor and academic precision that Arena is known for.

We believe evaluation should be grounded in real usage, and shaped by the people who rely on AI every day. This role is for someone who can turn that belief into product positioning, onboarding, GTM feature launches, and user-facing education that scales.

Responsibilities:

• Owning product positioning and messaging across Arena’s core product surfaces, ensuring users understand what Arena is, how it works, and why it’s trustworthy.

• Defining and refining value propositions for Arena’s user experiences (e.g., direct model comparisons, leaderboards, voting, routing) grounded in real-world use cases.

• Partnering with Product and Design to improve onboarding, navigation, and feature discovery for new and existing users.

• Leading go-to-market efforts for launches, updates, and experiments—including launch messaging, in-product education, and external announcements.

• Translating Arena’s evaluation methodology and data into clear, accessible explanations without oversimplifying or undermining credibility.

• Developing frameworks to explain model differences, strengths, and tradeoffs in ways that help users make better decisions.

• Collecting and synthesizing user insights, behavioral data, and feedback to inform messaging, product direction, and prioritization.

• Collaborating cross-functionally with Product, Engineering, Research, Comms, and Community to ensure consistency between what Arena is, what it does, and how it’s perceived.

Requirements:

• 5+ years of experience in Product Marketing, Growth, or AI/Consumer/Developer Marketing roles, ideally in developer tools, SaaS, AI, or data-driven products.

• Strong ability to translate complex technical or data-heavy systems into clear, compelling customer-facing narratives.

• Proven experience partnering closely with Product and Design on onboarding, UX copy, and feature launches.

• Track record of leading go-to-market efforts for key products or features.

• Deep empathy for users and strong instincts for clarity, trust, and usability.

• Excellent communication skills across written, verbal, and visual mediums.

• Comfort operating in ambiguity and iterating quickly in an early-stage, fast-moving environment, attention to detail and organization are critical.

• A proactive, self-directed work style with strong ownership and prioritization skills.

Preferred Qualifications:

• Experience working with AI products, evaluation frameworks, or data-driven marketplaces.

• Familiarity with user research, experimentation, and behavioral analytics.

• Background in communities, platforms, or products with network effects.

• Experience explaining scientific methodology and complex systems to target audiences.

• Familiarity with key software tools and software (such as Notion, Google Drive, PostHog, Figma, Linear, etc.) a huge plus.

• Prior startup experience a big plus.

What we offer

• We offer competitive compensation aligned to the markets where our team members are based. The compensation range for each role is listed on its posting and will depend on the candidate's experience and work location.