Zapier is looking to build and scale AI-powered features and surfaces that make customer workflows smarter, enabling them to extract, classify, summarize, and safely approve actions in production automations. The goal is to reduce friction, raise quality, and make complex AI approachable for businesses.
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); you’re confident working across the stack and delivering cohesive user experiences
- 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
- Partner across our AI Orchestration portfolio (Agents, Chatbots, Copilot, and platform capabilities) to design elegant, reliable AI execution patterns at scale
- Collaborate closely with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life — with users and usability always at the center.
- Proven ability to lead complex technical projects—owning design decisions, balancing tradeoffs, and guiding implementation across multiple contributors
- 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
