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About this role

ABOUT US

At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney.

We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.

Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. 

WHAT YOU’LL DO

- Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform.

- Lead the creation and execution of developer training and enablement programs.

- Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.

- Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.

- Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.

WHAT YOU'LL BRING

- Passion for helping customers across small and large enterprises learn to build exceptional AI Agents.

- Degree in Computer Science or related field, or equivalent professional experience.

- 4+ years of experience in hands-on software development of highly technical products or developer relations roles.

- Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.

- Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.

- Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.

- Demonstrated experience in designing and executing technical training, certification, or community initiatives.

EVEN BETTER...

- Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.

- Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.

- Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or Cu

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