Engineering Manager, Maps & Search - US (Remote)

Job description

**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 hiring a hands-on **Engineering Manager** to lead **Maps & Search**. This team owns the home search experience across web and mobile. It's one of the most visible, highest-traffic surfaces–the search service alone handles **a billion requests every month**. This is a role for a manager who leads from the front: someone who still lives in their terminal with AI, has strong opinions about how AI changes the SDLC, and wants to amplify what a small, senior, AI-augmented team can accomplish. You will set technical direction, stay close to the code, and help the team produce consistent impact. ## **What You'll Do** **Lead and grow the Maps & Search team.** Own hiring, onboarding, coaching, 1:1s, direct feedback, and career development. Treat management as a craft and build a healthy, high-performing team that ships impactful changes. **Stay hands-on.** Contribute directly — code and design reviews, architecture, thorny debugging— and stay technical enough to make smart calls on trade-offs. **Own and scale a high-throughput search platform.** Drive the architecture, relevance, latency, and reliability of a real estate search system handling ~1B monthly requests and hundreds of millions of listings. **Deliver a world-class home search experience.** Own the core home discovery experience across web and mobile — improving engagement, lead conversion, and agent workflows while keeping interactions fast and responsive at scale. **Push forward AI-powered discovery.** Partner across teams to bring LLMs and intelligent ranking into search and user workflows, improving how buyers and agents discover, filter, and engage with listings. **Shape the roadmap with product and design.** Define *what* we build and *why*, not just focusing on the *how*. Translate user needs and business goals into a clear technical plan, and own delivery end to end — planning, quality, reliability, and incident response. ## ## **What We're Looking For** ### **Attributes** - **You lead from the front.** You're still close to the code and technically respected, and you treat management as a craft — growing engineers, giving clear feedback, and building a team that ships. - **You already build with AI daily.** You use AI as a core part of your workflow, not as a novelty — and you expect your team to as well. - **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 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 senior or staff-level time, plus 2+ years managing engineering teams. - **Search experience** — you've worked on search, relevance, ranking, or retrieval systems. It doesn't have to be OpenSearch or Elasticsearch specifically, but you understand how search works and how to make it better. - Deep expertise in TypeScript, Node.js, and React, with the full-stack fluency to reason about the whole request path from UI to data. - Experience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred). - Strong understanding of GraphQL, event-driven systems (Kafka), and databases (PostgreSQL, OpenSearch). - A proven track record operating high-traffic, low-latency production systems at scale — SLOs, incident response, and capacity planning are second nature. - Experience leading high-impact initiatives from concept through production in a SaaS environment. ## **Tech Stack** - **Frontend:** React, Tailwind, Apollo - **Backend:** Node.js / TypeScript microservices - **Data:** PostgreSQL, OpenSearch - **Infrastructure:** AWS, Kubernetes, Lambda - **Messaging:** Kafka, Redis