Zuma

Zuma

Staff Engineer AI Agents

San Francisco Bay Area · Staff+

Sponsorship not specifiedDetected 127 days ago
TypeScriptPythonNode.jsBackend DevelopmentFull-Stack DevelopmentPostgreSQLRedisAWSTerraformMachine LearningData EngineeringLLMsAgentic AILangGraphAI OrchestrationProduct StrategyCRMLeadershipCollaboration

About the role

  • About Zuma Zuma is pioneering the future of agentic AI in property management.
  • Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.
  • Our flagship product is a multichannel leasing agent, a fully autonomous AI that engages prospects over voice, text, and email, guiding them through the entire leasing journey without human intervention.

Responsibilities

  • Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling.
  • Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production.
  • Own system reliability, observability, and continuous improvement - defining how we measure, monitor, and iterate on our agents and web products in production.
  • Tame legacy code and lay down new foundations - patterns and architecture you create will be inherited by the engineers who come after you.
  • Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront.
  • Comfortable working on frontends, backends, infrastructure, and databases. You'll deliver the solution regardless of what's needed, no anticipation of handoff to a different specialist.
  • Ability to work across ambiguity and drive projects from problem definition through production deployment independently.

Requirements

  • 5+ years of software engineering experience with a track record of working up and down the stack including distributed systems.
  • Strong proficiency in Python and/or TypeScript - the languages of our stack.
  • Experience designing and shipping AI solutions in production - not just prototypes.

Nice to have

  • Prior experience at a startup or high-growth company
  • comfort shipping fast and iterating in production.
  • AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops
  • Experience with workflow automation platforms or business process orchestration.
  • Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels.
  • Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems.
  • Python, TypeScript/Node.js
  • OpenAI, Anthropic

Compensation

  • Zuma is pioneering the future of agentic AI in property management.
  • We build AI agents that act as property managers, handling the full spectrum of interactions with both prospects and current residents on behalf of our clients.
  • Our agents don't just assist human workflows; they own them end-to-end, operating across leasing, collections and resident communications.
  • Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.
  • Our flagship product is a multichannel leasing agent, a fully autonomous AI that engages prospects over voice, text, and email, guiding them through the entire leasing journey without human intervention.
  • Today we sell exclusively to large enterprise property managers and are trusted by some of the largest apartment operators in the country, including Blackstone's residential portfolio, the largest apartment management group in the US.

Benefits

  • Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence.

Company info

  • What We're Looking For

This listing is sourced directly from Zuma's careers page and normalized into a canonical job model.