Staff Software Engineer - AI Marketing - US (Remote)

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. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else. As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like. What You'll Do Drive large-scale technical initiatives. You'll take complex, cross-functional projects from concept through production, aligning architecture decisions with business goals and shipping outcomes that matter. Ship AI-native product experiences. Working closely with product, design, and AI teams, you'll deliver intelligent features that leverage LLMs, agent frameworks, and real-time data to transform how real estate professionals run their businesses. Lead system design in an AI-native codebase. You'll own the architecture of critical platform capabilities, from our AI-powered site builder pipeline to our multi-tenant infrastructure serving thousands of real estate businesses. You'll set patterns that other engineers follow. Define how we build, not just what we build. You'll shape our engineering standards, review practices, and developer tooling. You'll have a direct hand in evolving how AI agents integrate into our development workflow. Mentor and elevate engineers across the org. Staff Engineers at LP are force multipliers. You'll raise the technical bar across teams, coach engineers through hard design problems, and influence career growth.   What We're Looking For Attributes You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture You think in systems. You connect technical decisions to customer outcomes and long-term business value You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together Skills and Experience 8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles Deep expertise in TypeScript, Node.js, and React Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred) Strong understanding of GraphQL, event-driven systems (Kafka, SQS), and distributed databases (PostgreSQL, DynamoDB, Elasticsearch) Proven track record leading high-impact initiatives from concept through production in a SaaS environment Expert-level grasp of software design principles and experience with multi-tenant platform architectures Tech Stack Frontend: React, Tailwind, Apollo Backend: Node/TypeScript Microservices Data: Postgres, Redis, Elasticsearch Infrastructure: AWS, Kubernetes, Lambda, Temporal Messaging: Kafka, SQS