Zuma
Staff Engineer (Agentic AI & Data)
San Francisco Bay Area · Staff+
Sponsorship not specifiedDetected 496 days ago
PythonReactNode.jsMachine LearningLLMsAgentic AIProduct StrategyLeadership
About the role
- About Zuma Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property manager alike.
- Off the back of our Series-A in early 2024, Zuma is scaling rapidly.
- Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions.
Responsibilities
- Opportunity to play a critical role in building the foundations of the company and Engineering culture.
- Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.
- We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.
- Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management.
- This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.
- We're not just building software we're designing AI that people want to work with.
- Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.
Requirements
- Must have hands-on experience in architecting, designing and implementing agentic AI systems
- Must have expertise in React and Python or Node.js
Benefits
- Great health insurance, dental, and vision.
- Gym and workspace stipends.
- Unlimited PTO.
- Our definition of done includes: test coverage, performance checks, basic observability, and internal docs.
This listing is sourced directly from Zuma's careers page and normalized into a canonical job model.