Product Engineer (Full stack), Shared Services Platform - Miami

Extenteam Careers•Miami, FL

37d•Hybrid

About The Position

Extenteam is the AI-driven operations platform for short-term rental property management, headquartered in Miami and founded in 2021. Our platform, Shared Services, handles guest communication and daily operational workflows for 80,000+ properties by pairing an AI orchestration layer with a shared-services team of hospitality-trained specialists, so no guest inquiry goes unanswered, day or night, and no property manager has to staff for the 2am cancellation themselves. We're industry-only: every workflow, integration, and agent we hire is built around property management specifically, not bolted on from a generalist platform. As we push more of that platform toward AI-led automation and self-serve tools, the software our own Shared Services team works in every day has to keep pace, that's this role. Shared Services' guest communication runs on two things: an AI layer that handles as much of a conversation as it safely can, and a shared-services team of hospitality-trained agents who catch what the AI shouldn't touch alone. Every day, that team hits walls in the platform they use to do the work; bugs, missing tooling, workflows that don't match how a busy overnight shift actually runs. Some of that is a quick fix. Some of it is a signal that the platform is failing at scale, and by the time it reaches Engineering it's already cost real client trust. We don't have a layer of PMs pre-chewing every one of those signals into a spec. We're hiring an engineer who can sit close to Operations, tell the difference between a one-off bug and a systemic gap, and ship the fix with no handoff required.

Requirements

4+ years of full stack (stronger on the BE) software engineering experience shipping production enterprise software
Direct experience building internal tools, agent-facing platforms, or operational systems
Product mindset: comfortable scoping problems, asking the right questions, and communicating/prioritizing tradeoffs
Track record of shipping fast while working inside a product and design process
Experience working asynchronously with distributed teams
Strong fluency in TypeScript.
Next JS
NestJS
TypeORM with Postgres
BullMQ
Comfortable with agentic coding tools (Claude Code, Cursor, Replit Agent)
API integration experience (REST, webhooks, third-party SaaS APIs)
Prompt engineering experience with production AI systems (OpenAI, Anthropic, or similar)

Nice To Haves

Experience building tools for contact center, customer support, or operations teams
Short-term rental, hospitality, or property management domain knowledge
Track record of deploying AI agents in production

Responsibilities

Close incoming platform tickets from Shared Services. Agents, Team Leads, and Operations report issues daily; quick fixes, workflow bugs, configuration problems. You triage, diagnose, and ship.
Find the pattern and fix it at the source. When multiple agents report the same friction, that's not a ticket, it's a product problem. When a client complaint traces back to repeated agent failures, you ask why the platform is allowing it, and you close that gap for good.
Own features end to end; problem framing, design, backend, frontend, instrumentation, rollout, and the follow-up fixes nobody filed a ticket for.
Work with founders, product, and design at the whiteboard stage, before anything is written down, and help decide what's worth building.
Build the AI surfaces of the product; prompt and agent architecture, tool calling, retrieval, guardrails, and the human-in-the-loop escape hatches that make automation safe to ship.
Build and maintain evals. Treat "does this actually work" as an engineering artifact with a regression suite, not a vibe check before launch.
Watch real usage. Session replays, logs, transcripts, support tickets, and customer calls. Bring back what you learn as shipped changes, not as a document.
Own the details that make software feel good; latency budgets, token cost, empty states, error copy, loading behavior, keyboard paths. These are part of the feature, not a separate polish phase.
Cut scope and kill things. Argue a feature is wrong before you build it well.
Compound the team's velocity; CI, preview environments, internal tools, seed data, debugging surfaces. Leverage counts as product work.