Product Engineer (Full Stack), Shared Services Platform - Miami, Fl
Extenteam Careers
Miami
- 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.
- Not a ticket queue firefighter. That's other roles on the Operations side.
- Not a shadow engineering team. You report to and work within Engineering.
- Not an independent operator building outside the platform. Everything you ship goes through product.
- You want a ticket fully spec'd before you'll touch it
- You treat "why does this keep happening" as someone else's question to answer
- You measure your work by whether you closed the ticket, not whether the pattern stopped
- Your AI/LLM experience is prompting a demo — never held to a reliability bar with a real agent depending on it at 2am
- 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. We currently use:
- 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)
- 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
- Reports to the Head of Engineering
- Priorities set jointly with the Head of Operations, based on operational signal
- Product decisions filter through the Head of Product
- Design decisions go through our design team
- Weekly syncs with Engineering, Operations, and Product
- Miami-based, in-office 4 days per week
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