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. 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.
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. 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.
Zuma has raised over $17M in funding to date and has support from world-renowned investors, including Andreessen Horowitz (a16z), Y Combinator, King River, Range Ventures, and distinguished angel investors like YC's former COO, Qasar Younis.
The Role
As a Support Engineer at Zuma, you'll be a bridge between our customers, engineering team, and product vision. You'll ensure new customers onboard smoothly, integrations run reliably, and support operations scale as we grow. This is a hands-on role for someone who loves problem-solving, can dive into APIs and databases, and takes pride in clear documentation and communication. You'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.
Why This Could Be Your Dream Role
Why You Might Want to Think Twice
Responsibilities
Your Experience Looks Like
Guiding Principles Customer-First Outcomes
Every commit should trace back to resident or operator value. Whether it's a new feature, infra investment, or AI capability, if it doesn't solve a real problem, it doesn't ship.
Bias for Simplicity
We favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.
Quality Is a Gate, Not an After-Thought
Quality is built-in from day one. Our definition of done includes : test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn't mean skipping craftsmanship.
Data-Driven Choices
We use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.
Transparency & Written Culture
Good ideas don't expire in Zoom. We operate in public inside the company, TDDs, PR reviews, and Linear tickets tell the story. This keeps us async-friendly, auditable, and aligned across time zones and functions. >
Other Benefits
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Engineer • San Francisco, CA, United States