This role pioneers the Agent Experience (AX) function, focusing on how AI agents engage with our platform outside traditional user pathways. You will shape how intelligent agents discover, evaluate, and adopt our tools by refining metadata, tool configurations, and registry presence to improve visibility and usability across agent ecosystems.
Key Responsibilities
- Optimize tool descriptions, JSON schemas, and error responses to increase successful agent interactions
- Manage Cloudinary’s presence in public tool registries and ensure package discoverability via npm and other distribution channels
- Test and analyze how major AI agent platforms surface our tools compared to competitors
- Develop and maintain dashboards that track agent-driven activity, from initial discovery to product registration and usage
- Define and monitor the AX conversion funnel: discovery → connection → usage → registration → adoption
- Create documentation and example repositories structured for agent parsing, not human readers
- Design and run experiments to determine which metadata, formatting, or content structures yield better agent engagement
What You Bring
You understand how agents interpret tool capabilities and make selection decisions based on structured inputs. You can independently edit MCP configurations, debug connection issues, and analyze server logs to trace agent behavior. Your fluency with Git, REST APIs, OAuth, and JSON allows you to iterate quickly without engineering support. You’re experienced with AI coding agents and use them regularly in your workflow.
You’re proficient in setting up analytics funnels, configuring event tracking, and building custom reports to measure non-traditional attribution paths. You prioritize data clarity and maintain rigorous tracking standards. You think systematically about optimization—running A/B tests on metadata, schema design, and content structure to improve outcomes.
You ship changes weekly and balance strategy with hands-on execution. You know how agents consume information: through structured data, explicit capability statements, and accessible code examples. You produce content that serves both agent citation (GEO) and traditional search visibility (SEO), understanding the distinction between the two.
Technical Environment
You’ll work with MCP servers, JSON schema definitions, npm package management, Git and GitHub workflows, REST APIs, OAuth flows, server log analysis, and analytics platforms. Python scripting for automation and data analysis is used regularly.
Ideal Background Includes
- Direct experience with media management APIs such as image or video transformation and delivery services
- Familiarity with GEO-focused tools like Otterly.AI, Profound, or Ahrefs Brand Radar
- Prior work in developer marketing, developer relations, or growth for developer tools
- Knowledge of the cloud-based media solutions landscape and competitive offerings
- Hands-on involvement in building or maintaining MCP servers
- Scripting in Python for data analysis and workflow automation
