Staff Engineer AI Agents

About Zuma

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. This is a ~$200B market that has been dramatically underserved by technology, and we’re rewriting the playbook.

Off the back of our Series A, Zuma is scaling rapidly. We’ve raised over $17M to date with backing from world-renowned investors including Andreessen Horowitz (a16z), Y Combinator, King River, Range Ventures, and distinguished angels like YC’s former COO, Qasar Younis.

Role at a Glance

This is a rare chance to shape the future of how an entire industry operates — not in theory, but in production, at scale, touching real customers and physical assets every day. At Zuma, human and AI agents work side by side, and you'll help define what that collaboration looks like at its best.

Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management.

• Shape the future of property management by designing the human + AI workflows that will define the industry standard for the next decade.

• Join an A+ team with a wide range of experience across AI, enterprise SaaS, and proptech — people who have built and scaled products before and are doing it again.

• Own and influence how Zuma approaches entirely new workflows as we expand beyond leasing into the full resident lifecycle.

• Learn and establish best practices for deploying agents in real business operations — systems that touch real customers, real money, and real physical assets. This is the hardest and most valuable kind of AI engineering there is.