AI Builder - Property Management

Extenteam Careers•Los Angeles, CA

7d•Onsite

About The Position

Extenteam is an AI-driven operations platform built for short-term rental property managers, automating guest communication and daily workflows with human-in-the-loop support across tens of thousands of properties. Alongside our core STR business, we operate a multifamily property management division that generates $250,000 in monthly revenue, serving some of the largest operators in the country - companies running thousands of units across multiple states. The work is real, the clients are large, and the processes that power this division today are largely manual. We know what works. Now we want to build the technology layer that systematizes and automates it. This role exists to lead that effort. This is the first product and engineering hire dedicated to the multifamily division. You will own the AI and automation layer for this side of the business - sitting at the intersection of product management and hands-on AI system design. You are not starting from scratch. There is $250K/month of revenue, real clients, real workflows, and real operational data to work with. Your job is to turn what works manually into a product that scales. You will be working independently at the start - there is no dedicated engineering team from day one. You are expected to build, ship, and iterate on your own. If this work proves out, the function grows around you. That means you need to be genuinely technical: comfortable writing code, deploying pipelines, and owning the full stack of what you build. You will design automation-first workflows, determine where AI can own a process end-to-end, and define where human oversight is still required. You will work closely with Extenteam agents and client-facing teams to surface workflow bottlenecks and translate operational reality into systems that actually work. This role reports directly into the Head of Multifamily and is a founding position on the product and engineering function for this vertical.

Requirements

3-6 years of product management or builder experience, ideally at a B2B SaaS or proptech company
Hands-on experience managing or iterating on AI models in a product context - you understand prompt design, evaluation frameworks, and how to improve model performance over time
Deep familiarity with Claude Code - you use it as a force multiplier, not a crutch
Proven ability to build agentic workflows, AI pipelines, or automation systems - you have shipped something real, solo or as a lead
Strong written communication skills - you can turn fuzzy operational problems into clear system specs
Comfortable working in a fast-moving, unstructured environment with no hand-holding
Experience shipping full product features from discovery to launch, independently or with minimal support
Hands-on experience designing or improving workflows, decision trees, or automation-ready processes
Comfort working with data, dashboards, and analytics tools to guide decisions
Must be based in or willing to relocate to Miami, Florida or Los Angeles, California

Nice To Haves

Experience in property management, proptech, or multifamily real estate
Familiarity with property management platforms (Yardi, AppFolio, Buildium, Entrata, or similar)
Background building or managing human-in-the-loop AI systems where model confidence determines when a human steps in
Experience at a company going through a manual-to-AI or services-to-SaaS transition
Familiarity with LLM orchestration tools or agentic workflow design beyond Claude
Familiarity with ClickUp, Slack, or HubSpot - helpful but not required

Responsibilities

Own the AI and automation product scope for the platform: discovery, definition, prioritization, delivery, and iteration - largely independently at the start
Write clear, unambiguous specs and documentation for the systems you build
Run structured discovery with Extenteam agents and client-facing teams to surface workflow bottlenecks and automation opportunities
Maintain a prioritized backlog, balancing quick wins with meaningful product bets
Own the performance and iteration of AI models within your scope - define evaluation criteria, monitor output quality, and drive continuous improvement
Build and maintain agentic workflows, Claude API pipelines, and MCP integrations directly - you are not just writing specs, you are shipping
Lead automation-first thinking - every workflow you touch should ask whether a human is still needed, or whether AI can own it end-to-end
Communicate progress, blockers, and decisions clearly to the Head of Multifamily and leadership
Track adoption and outcomes; use data to inform what to build next