Developer Relations Engineer

Cresta develops a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to improve customer experiences. The Developer Relations Engineer will serve as the technical voice of Cresta’s AI agent platform by creating developer content, building sample applications and integrations, leading workshops and events, improving onboarding, and feeding developer and partner insights back to Product and Engineering.

Responsibilities:

• Create technical content that teaches developers how to build AI agents on Cresta: blog posts, written tutorials, and long- and short-form video (walkthroughs, live coding, demo breakdowns)
• Build and maintain sample apps, code snippets, and reference integrations that show best practices for building, testing, and evaluating agents on the platform, including in open-source repos where appropriate
• Plan and run workshops for developers and partners, both virtual and in-person, that take people from zero to a working agent
• Represent Cresta at conferences, meetups, and partner events, delivering talks and demos and engaging directly with attendees
• Run a feedback loop with developers and partners: collect what's confusing, missing, or broken in the platform and developer experience, and route it to Product and Engineering with clear, actionable detail
• Partner cross-functionally with Product, Engineering, and Marketing to keep messaging and documentation aligned with what the platform can actually do
• Improve onboarding and the first-build experience for new developers and partners evaluating the platform, including getting-started guides and sandboxes
• Stay hands-on with agent building and testing: prompt engineering, tool/function calling, RAG, and evaluation, so the content you produce reflects real, current platform capability rather than marketing copy

Requirements:

• 3+ years of experience as a software engineer, ML engineer, or developer advocate, with strong technical credibility and hands-on coding ability
• Practical experience building and testing AI agents: LLMs, prompt engineering, agent frameworks, function calling, RAG
• Comfortable working in Python and/or Golang/TypeScript; able to read and write real integration code (APIs, webhooks, CRMs)
• A track record of developer content: blog posts, tutorials, or videos that other engineers have actually used
• Public speaking or workshop-facilitation experience at meetups, conferences, or customer/partner events
• Excellent written and verbal communication; able to explain enterprise-grade technical concepts clearly to a developer audience
• Comfortable in an enterprise context: the platform's complexity, testing rigor, and partner requirements mean you'll need patience and depth, not just a flashy demo
• Startup mindset: able to move fast, wear multiple hats, and adapt as the DevRel function and program mature
• experience contributing to or maintaining open-source projects
• based in the Bay Area