7 months ago
Base Salary
$180 - $220/yr
Responsibilities
- Own end-to-end software projects across full-stack web applications, agentic AI solutions, PMS and CRM integrations, infrastructure, and internal tooling.
- Architect, build, deploy, and maintain production AI agents across their full lifecycle.
- Define technical patterns and standards for software development across the engineering organization.
- Strengthen onboarding and configuration systems, integration frameworks, and AI performance analytics infrastructure.
- Partner with executive and product leadership to translate product vision into delivery and make technical trade-offs.
- Own system reliability, observability, monitoring, testing, error handling, tracing, and continuous improvement.
- Work across backend services, LLM orchestration, integrations, data pipelines, and frontends.
- Improve legacy code and establish scalable architectural foundations.
- Translate product and operations needs into intelligent automated workflows.
Requirements
- 5+ years of software engineering experience, including work across the stack and with distributed systems.
- Experience working with frontends, backends, infrastructure, and databases without relying on specialist handoffs.
- Strong proficiency in Python and/or TypeScript.
- Ability to independently drive ambiguous projects from problem definition through production deployment.
- Ability to communicate complex technical architectures to non-technical stakeholders.
- Experience designing and shipping AI solutions in production that real users depend on.
- Experience building reliable and observable systems with tracing, error handling, fallback strategies, monitoring, and testing.
- Preferred: startup or high-growth company experience and comfort iterating quickly in production.
- Preferred: AWS, Terraform, infrastructure, and DevOps experience.
- Preferred: self-serve platform or integration infrastructure experience.
- Preferred: workflow automation or business process orchestration experience.
- Preferred: telephony integrations such as Twilio and voice-capable agents or chatbots.
- Preferred: speech-to-text, text-to-speech, or real-time audio streaming experience.
- Preferred: classical machine learning, including supervised or unsupervised learning, feature engineering, model training, and evaluation.
Benefits
- Remote-friendly work arrangement with required overlap from 8:00 AM to 3:00 PM Pacific Time.
- Competitive compensation package with meaningful early-stage equity.
- Opportunity to work on production AI agents affecting hundreds of thousands of rental units.
- Series A company backed by Andreessen Horowitz and Y Combinator.
Tech Stack
Categories
About Zuma
Zuma builds AI agents for multifamily property management, including an AI leasing assistant that handles lead response, tour booking, resident Q&A, and collections with humans in the loop. The company sells SaaS to apartment owners and operators, integrating with property CRMs to automate the resident lifecycle. Founded in 2021 and headquartered in Santa Monica, it is privately held and raised a $17M Series A in 2024 from investors including Andreessen Horowitz and Y Combinator.