# Zuma Acquired by Venn for $50M as AI Leasing Operations Scale

**Author:** Zero G Talent
**Published:** 2026-11-08
**Category:** aerospace-engineering
**Tags:** yc-hiring, proptech, agentic ai, natural language processing, software engineering, product design

[Read on Zero G Talent](https://zerogtalent.com/blog/zuma-acquired-by-venn-for-50m-as-ai-leasing-operations-scale)

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Multifamily operating platform Venn acquired AI leasing software company [Zuma](https://zerogtalent.com/ai-companies/zuma) for $50 million in an all-cash transaction, reported by [Commercial Observer](https://commercialobserver.com/2026/09/venn-zuma-proptech/) and [SaasRise](https://www.saasrise.com/deals/venn-acquires-leasing-agent-company-zuma-for-50m-06c6a910-72b7-48df-b261-6cb96f0da9f3). The deal folds Zuma's agentic AI technology and team into Venn's platform, which serves over 270 multifamily owners and operators across 30 U.S. states and five countries.

Founded in 2021 and backed by $17 million in venture funding from Andreessen Horowitz and Y Combinator, Zuma builds autonomous AI agents that handle leasing, resident communications, and collections for property managers across voice, text, and email. Its flagship leasing agent was deployed across more than 200,000 apartment homes prior to the acquisition, serving enterprise operators including Blackstone's residential portfolio.

Following the acquisition, Zuma's co-founders have relocated to New York City to take on leadership positions at Venn. Co-founder and CEO [Shiv Gettu](https://zerogtalent.com/people/shiv-gettu) leads strategic partnerships, while co-founder and Chief Product Officer [Kendrick Bradley](https://zerogtalent.com/people/kendrick-bradley) serves as executive general manager for Venn's leasing practice.

## Automating the Renter Funnel Across Text, Voice, and Email

Zuma was created to address the communication bottlenecks in long-term multifamily leasing. In an interview on the [First Touch Sales podcast](https://www.youtube.com/watch?v=BozbRSxZL58), Gettu explained that rental leads decay quickly: across hundreds of thousands of units analyzed, prospective renters were 49% less likely to respond if the outreach took 70 minutes or longer. Because more than half of apartment inquiries occur after business hours or during weekends, on-site leasing offices struggle to keep up manually.

Zuma automates these interactions by interfacing directly with property management databases and customer relationship management systems. When prospective renters submit an inquiry, Zuma's agents respond within minutes, answering property-specific questions regarding pet policies, floor plans, and pricing, and automatically scheduling tours.

In addition to leasing workflows, the company developed an autonomous collections product. This tool integrates into the operator's accounting systems to identify delinquent accounts, autonomously reaching out to residents to arrange rent payments.

To prevent the errors common to early generative AI deployments, Zuma couples machine learning models with human fallbacks. Speaking at the [AIM Conference 2026](https://www.youtube.com/watch?v=4CLgz1IIY8Y), Bradley demonstrated how unchecked conversational tools create operational disruptions—such as misquoting amenities or double-booking tours—when operating on bad property data. To combat this, Zuma uses an internal human-in-the-loop team that takes over conversational edge cases that models cannot yet handle reliably.

## Origins in Physical Property Management

Gettu and Bradley met as undergraduate students at the University of Southern California in 2014. After graduating in 2017, the pair initially launched Astro, an Airbnb arbitrage and property management business, scaling it to $2 million in revenue.

To understand property workflows firsthand, Bradley left a role as a rocket engineer at SpaceX to work on-site as a leasing agent for a property management company in Redwood City, California. The direct experience handling physical files, paper money orders, and high-frequency prospect inquiries exposed the operational inefficiencies of traditional leasing.

When the COVID-19 pandemic disrupted short-term rentals, the co-founders pivoted the operation to long-term leasing, cold-calling prospective tenants across 13 cities to stabilize vacant properties. That experience led them to build software purpose-designed for long-term leasing communication, culminating in Zuma's participation in Y Combinator's Summer 2021 batch and an institutional Series A round led by Andreessen Horowitz.

## Engineering Architecture and Current Openings

Following its acquisition by Venn, Zuma continues to expand its San Francisco Bay Area engineering and design footprint. The technical team is restructuring its underlying agent infrastructure to support Venn's portfolio, which expects to pass one million units under management.

Several senior engineering roles outline the company's platform priorities:

- The [Staff Engineer (Backend, DevOps, Infrastructure)](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-backend-devops-infrastructure-800b8d69-b1e0-4524-a0a7-a5cec8b337b5) reports to the Vice President of Engineering as the first US-based engineer focused on scalable cloud infrastructure, managing deployment pipelines using Infrastructure as Code and rebuilding onboarding and configuration systems.
- The [Staff Engineer AI Agents](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-ai-agents-16961f6d-ab02-469d-8f99-3a68bf5a5026) architects multichannel leasing agents that operate autonomously over voice, text, and email, working across full-stack applications in Python and TypeScript and integrating into property management systems.
- The [Staff Engineer (Agentic AI & Data)](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-agentic-ai-data-3dd732f9-e4a6-4f38-8ec3-aa80434b261d) focuses on LLM fine-tuning, agent frameworks, and configuration interfaces connecting AI agents to enterprise customer databases using React, Node.js, and Python.
- The [Senior Engineer](https://zerogtalent.com/ai-jobs/zuma/senior-engineer-da4d2130-954e-4b29-a9ef-3926b9bedba6) leads system architecture rewrites and database performance tuning in Node.js, building deployment pipelines for AI-first products.
- The [Support Engineer](https://zerogtalent.com/ai-jobs/zuma/support-engineer-aeba8354-1a4c-4ebf-88c5-025de0c4cd4e) bridges customer operations and technical teams, maintaining Zuma's internal onboarding tools, managing feature flags, and troubleshooting property management system and CRM API integrations using Python and JavaScript.
- The [Principal Product Designer](https://zerogtalent.com/ai-jobs/zuma/principal-product-designer-db29bec6-23e7-4048-b707-c78f46bd84d5) designs interaction models for autonomous agents, collaborating directly with the founders to establish workflows for corporate operators, regional managers, and renters.

## Open Roles at Zuma

| Role | Location | Work Mode | Salary |
| --- | --- | --- | --- |
| [Staff Engineer AI Agents](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-ai-agents-16961f6d-ab02-469d-8f99-3a68bf5a5026) | San Francisco Bay Area | Onsite | $180,000 – $220,000 USD/year |
| [Staff Engineer (Backend, DevOps, Infrastructure)](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-backend-devops-infrastructure-800b8d69-b1e0-4524-a0a7-a5cec8b337b5) | San Francisco Bay Area | Hybrid | Not listed |
| [Staff Engineer (Agentic AI & Data)](https://zerogtalent.com/ai-jobs/zuma/staff-engineer-agentic-ai-data-3dd732f9-e4a6-4f38-8ec3-aa80434b261d) | San Francisco Bay Area | Hybrid | Not listed |
| [Senior Engineer](https://zerogtalent.com/ai-jobs/zuma/senior-engineer-da4d2130-954e-4b29-a9ef-3926b9bedba6) | San Francisco Bay Area | Remote | Not listed |
| [Support Engineer](https://zerogtalent.com/ai-jobs/zuma/support-engineer-aeba8354-1a4c-4ebf-88c5-025de0c4cd4e) | San Francisco Bay Area | Remote | Not listed |
| [Principal Product Designer](https://zerogtalent.com/ai-jobs/zuma/principal-product-designer-db29bec6-23e7-4048-b707-c78f46bd84d5) | San Francisco Bay Area | Onsite | Not listed |

[See all open roles at Zuma](https://zerogtalent.com/ai-companies/zuma)

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