[All remote jobs](https://jobicy.com/jobs.md)[![Luxury Presence logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/05/f2b241fb769140fff2f70e8efaf5c0ff.jpg)](https://jobicy.com/company/luxury-presence.md)[Luxury Presence](https://jobicy.com/company/luxury-presence.md) # Engineering Manager, Maps & Search – US Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/luxury-presence.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished20 Sep 2026Apply before20 Oct 2026Listing views568Application actions49Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Luxury Presence is seeking a hands-on Engineering Manager to lead its Maps & Search team, which owns high-traffic home-search experiences across web and mobile. The manager will lead hiring, coaching, technical direction, architecture, incident response, and end-to-end delivery while continuing to contribute through design reviews, debugging, and technical decision-making. The role requires deep full-stack expertise in TypeScript, Node.js, React, cloud-native microservices, search/relevance systems, and production operations at substantial scale. A strong emphasis is placed on AI-augmented engineering workflows, LLM-powered discovery, fast iteration, and clear cross-functional communication with product, design, and executive stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior people-and-technical leadership role responsible for a billion-request-per-month search platform, requiring expertise in search relevance, low-latency distributed systems, and full-stack architecture. Success also depends on growing an engineering team and making high-stakes product and operational trade-offs in a fast-moving environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$210,000US market range$180k–$250k0$275k AI insightNo explicit salary, base-pay range, or compensation range is provided in the posting. The estimated US base-salary market range for a hands-on Engineering Manager leading search and platform systems is $180,000-$250,000 annually, with an estimated midpoint of $210,000; actual total compensation may additionally include bonus and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Engineering leadership](https://jobicy.com/jobs?search_keywords=Engineering%20leadership.md)[Search relevance](https://jobicy.com/jobs?search_keywords=Search%20relevance.md)[Information retrieval](https://jobicy.com/jobs?search_keywords=Information%20retrieval.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Node.js](https://jobicy.com/jobs?search_keywords=Node.js.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Microservices](https://jobicy.com/jobs?search_keywords=Microservices.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md) Sample interview questionsHow would you improve relevance and latency for a real-estate search platform handling approximately one billion requests per month?I would begin by separating the problem into measurable components: query understanding, candidate retrieval, ranking quality, index freshness, and end-to-end latency. I would establish SLOs and a baseline using query-level telemetry, then prioritize high-volume and high-friction search journeys. Improvements could include better indexing and caching, relevance experiments with offline and online metrics, and staged rollout controls to ensure ranking gains do not compromise reliability or response time. Describe how you balance hands-on technical work with people management responsibilities. I reserve consistent time for 1:1s, coaching, hiring, planning, and cross-functional alignment, while staying technically engaged through architecture reviews, code reviews, incident retrospectives, and targeted work on the highest-risk problems. I avoid becoming a bottleneck by ensuring senior engineers own major decisions and by using clear technical principles. My goal is to raise the team's capability rather than personally owning every difficult implementation. How would you introduce LLM-powered discovery features into an existing search product? I would start with a narrow customer problem, such as translating natural-language home preferences into structured filters or improving listing exploration. I would define quality, safety, latency, and cost metrics; build an evaluation set from representative searches; and place deterministic search and filtering systems behind the experience where appropriate. After validating the feature with controlled experiments, I would instrument outcomes such as engagement, conversion, accuracy, and fallback rates before expanding usage. Tell us about your approach to operating a low-latency, high-traffic system during an incident. I focus first on customer impact and stabilization: establish incident ownership, communicate status clearly, mitigate through rollback, traffic controls, or graceful degradation, and protect critical functionality. Once stable, I lead a blameless review that identifies technical and process causes, assigns durable follow-up actions, and improves observability, runbooks, capacity plans, and alert quality. I also ensure stakeholders understand both the immediate resolution and prevention plan. How do you align an engineering roadmap with product, design, and business goals when priorities are ambiguous? I translate broad objectives into concrete customer outcomes, measurable success criteria, constraints, and technical risks. With product and design partners, I compare options by expected impact, effort, reliability implications, and learning value, then sequence work into milestones that create early validation. I communicate trade-offs directly, revisit assumptions as new evidence emerges, and keep the team focused on the highest-leverage outcome rather than a fixed implementation. Opportunity details ## About this role. 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 ### Compensation ### Additional Information Join us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We’re a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We’re backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry’s most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn’s Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we’ve received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Show more [Apply now >](https://jobicy.com/jobs/151251-engineering-manager-maps-search-us.md) > Annual salary information is not provided for this position. 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