Principal Developer Advocate, AI

Temporal Temporal · Enterprise · United States · Developer Relations

The Principal Developer Advocate, AI is a senior individual-contributor practitioner who serves as a crucial voice for Temporal in the AI engineering community. You’ll earn developers’ trust in this emerging discipline by shipping standout technical content, building real relationships across the AI ecosystem, and sharing what you’ve learned from your hard-won perspective as someone who has built and operated production AI systems. The world's best AI products are built on Temporal. We give developers the primitives to build reliable, long-running, stateful AI applications, and scale them faster than ever before. In this role, you'll help bring Temporal to the next generation of AI engineers. As a senior individual contributor, you'll be a leader in the developer community and within our company, contributing to our AI strategy and roadmap.

What you'd actually do

  1. Represent Temporal at industry conferences, meetups, and workshops, delivering compelling talks on reliability, state, and orchestration in agentic systems
  2. Create influential, high-quality content for AI engineers and backend developers (blogs, tutorials, guides, talks, and videos) that demonstrates Temporal's essential role in reliable AI systems
  3. Forge strong ties with AI framework maintainers, open-source communities, and ecosystem partners to strengthen Temporal's position as critical infrastructure for AI
  4. Act as a key community voice, gathering feedback from AI engineers and channeling it back to Product and Engineering to shape the roadmap and sharpen Temporal's developer experience
  5. Work closely with Product, Engineering, Marketing, and Sales to align content and engagement with new releases and our go-to-market strategy in the AI space

Skills

Required

  • 8+ years as a software engineer, most recently as an AI engineer with a clear focus on getting AI into production
  • A track record of shipping AI products or features to production. You understand the discipline of building, evaluating, deploying, and operating real systems, not just prototyping
  • Existing, demonstrable visibility in the AI engineering community. What that looks like could vary: a popular blog, YouTube channel, podcast, widely used open-source project, social media following, or your role as a frequent conference speaker
  • A track record of compelling technical talks and writing which clearly establishes your credibility in the eyes of an aspiring AI engineer
  • Hands-on depth with the tools and patterns of production AI: LLMs and agents, retrieval-augmented generation, function calling, evaluation and observability, and inference in real systems, including working knowledge of AI agent frameworks and the major model-provider APIs
  • Python and/or TypeScript

Nice to have

  • A strong public platform. The kind that makes you recognizable online or when attending a conference
  • Experience carrying the pager for production AI systems
  • Experience building or contributing to AI agent frameworks or toolkits
  • Familiarity with Temporal. Even better: experience building AI products or features using Temporal
  • Open-source contributions or stewardship in the AI or distributed systems communities
  • Prior experience in a Developer Relations or Developer Advocacy role

What the JD emphasized

  • shipping AI products or features to production
  • built and operated production AI systems
  • AI engineering community
  • agentic systems
  • reliable AI systems
  • AI engineers
  • production AI
  • LLMs and agents
  • evaluation and observability
  • AI agent frameworks

Other signals

  • shipping AI products or features to production
  • building and operating production AI systems
  • AI engineering community