Zapier is looking to build and scale core AI surfaces that make customer workflows smarter, shipping and scaling products like AI by Zapier and Human in the Loop. The goal is to reduce friction, raise quality, and turn complex AI into approachable building blocks for real businesses by designing and implementing LLM-native workflows.
Requirements
- Strong backend experience with Python/Django building reliable, scalable, and observable services.
- Experience with TypeScript/Node.js is a bonus, but not required.
- Advanced experience with React (and ideally frameworks like Next.js)
- Experience architecting, building, debugging and operating distributed systems at scale is a benefit to candidates, but not essential.
- Familiarity with AWS primitives, including S3, SQS, Lambda, RDS, etc.
- Familiarity with relational databases like PostgreSQL or MySQL, and the ability to model, query, and optimize data effectively
- Experience designing and consuming RESTful APIs, building event-driven systems, and working with data integrations across services
Responsibilities
- Design and build features that allow users to delegate tasks and orchestrate workflows using natural language
- Collaborate with our platform team that manages agent memory, reasoning, execution, and system integrations
- Build and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behavior
- Collaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructure
- Own projects end-to-end — from scoping and architecture to implementation, testing, and support
- Improve developer experience, observability, and deployment pipelines as the product matures
- Contribute to backend systems that manage agent memory, reasoning, execution, and system integrations
Other
- You proactively coach and support teammates, foster growth through mentorship, and contribute to a culture of feedback and continuous improvement
- You navigate ambiguity with confidence—able to clarify priorities, align stakeholders, and drive toward meaningful outcomes even when goals shift
- You’ve used AI tooling for work or personal use. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly.
- Join a high-ownership environment with clear user impact and fast iteration
- Collaborate with cross-functional teams across Product, Design, and Support
