Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. The Opportunity
We don't just use AI. We build with it, ship with it, and think with it. With a generous budget for tokens, our engineers use AI agents to write, review, and ship production code every day. We are building toward a world where humans design systems and AI builds them, and we are already far along that path.
We are looking for a hungry, highly autonomous Staff or Senior level Product Engineer to help and scale our internal tools. The Internal Tools team is the operational engine of Luxury Presence. Your customers are our own people: Customer Success, Sales, Onboarding, and fellow engineering teams. If an internal team needs a tool to move faster, automate a bottleneck, or serve our clients better, you will build it or support the architecture to make it happen.
This role requires a true “10x engineer” who leverages AI development workflows (like Claude Code and Orca) to ship high-quality code at an unprecedented pace. You will be touching everything from complex UI dashboards in React to background job processing in NestJS, and deeply integrating it with our core data ecosystem.
What You'll Do
Lead internal product development. Partner with teams across Customer Success, Sales, Onboarding, and Engineering to uncover operational bottlenecks and design intuitive, high-leverage tools that multiply their effectiveness.
Own the internal tool ecosystem. Architect and scale our internal platform (Scout) across the full stack. You'll weave together our React frontends, NestJS backends, and complex data integrations (spanning our CRM, data warehouse, and communication platforms) into a unified, reliable experience.
Accelerate delivery through AI. Integrate AI natively into your daily workflow. You will use agents to write, review, and ship production code, turning complex requirements into working software at an elite pace.
Turn ambiguity into impact. Take ownership of open-ended business challenges. You will act as both product manager and lead engineer for internal tools—scoping the true need, designing the solution, and shipping it end-to-end.
What We're Looking For
Attributes
You are an AI-native developer. You have deep experience with AI development workflows and tools (Claude Code, Cursor). You understand how to prompt, iterate, and use AI to output 10x the impact of a traditional engineer.
You get joy from helping others. You are deeply empathetic to your internal users. You measure your success by the time you save others and the headaches you eliminate.
You are highly product-oriented. You care deeply about the how and why of software. You view your internal coworkers as your highest-priority customers, always asking if a feature actually solves their core problem before writing a line of code.
You are hungry and autonomous. You don't wait for a perfectly scoped Jira ticket. You are a problem solver who digs into the business need, proposes a technical solution, and ships it.
You think in systems. You can reason about the whole request path from UI to data, understanding how internal tooling impacts the broader platform architecture.
Skills and Experience
Extensive experience as a Senior or Staff-level full-stack engineer in a fast-paced, high-growth environment.
Deep expertise in TypeScript, Node.js, and React.
Experience building scalable backend services (NestJS preferred) and designing robust GraphQL APIs (code-first resolvers).
Strong database fundamentals using ORMs (Sequelize) over PostgreSQL, and experience writing integration tests against real databases.
Comfortable operating in a modern DevOps environment, relying on feature flags, rigorous testing, and solid observability.
Tech Stack
Frontend: React SPA (Vite), TypeScript, Tailwind, React Router, Apollo Client. Vitest + RTL for testing, Playwright for e2e.
Backend: Node.js, NestJS, TypeScript, GraphQL (code-first resolvers).
Data & Background: PostgreSQL (via Sequelize), Bull/Redis for background jobs. Deep integrations with Salesforce, Snowflake/Flurry, Dialpad, Zoom, Front, and Anthropic. Testing via Jest + Supertest.
Infrastructure: Docker, Kubernetes via ArgoCD, Flyway for migrations, LaunchDarkly for flags, Datadog for logs/APM/RUM.