{"id":702898,"url":"https://alion.io/job/luxury-presence-engineering-manager-maps-search-us-remote","title":"Engineering Manager, Maps & Search - US (Remote)","company":{"id":449912,"name":"Luxury Presence","domain":"luxurypresence.com","url":"https://alion.io/company/luxury-presence","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":22,"ghost_share":0,"stale_share":0.182,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":158000,"max_usd":278000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":289},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GraphQL","optional":false},{"name":"Node JS","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS Lambda","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Redis","optional":true},{"name":"Tailwind CSS","optional":true}],"status":"live","first_seen_at":"2026-07-17T21:12:29Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-28T15:57:54Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":102},"description":"The Opportunity\nWe 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.\nWe 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.\nThis 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.\nWhat You'll Do\nLead 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.\nStay hands-on. Contribute directly - code and design reviews, architecture, thorny debugging- and stay technical enough to make smart calls on trade-offs.\nOwn 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.\nDeliver 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.\nPush 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.\nShape 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.\nWhat We're Looking For\nAttributes\nYou 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.\n\nYou 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.\n\nYou have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture.\n\nYou think in systems. You connect technical decisions to customer outcomes and business value.\n\nYou communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders.\n\nYou're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real.\n\nYou 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.\n\nSkills and Experience\n8+ years of professional software engineering experience with meaningful senior or staff-level time, plus 2+ years managing engineering teams.\n\nSearch 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.\n\nDeep expertise in TypeScript, Node.js, and React, with the full-stack fluency to reason about the whole request path from UI to data.\n\nExperience designing and operating scalable microservice architectures in cloud-native environments (AWS preferred).\n\nStrong understanding of GraphQL, event-driven systems (Kafka), and databases (PostgreSQL, OpenSearch).\n\nA proven track record operating high-traffic, low-latency production systems at scale - SLOs, incident response, and capacity planning are second nature.\n\nExperience leading high-impact initiatives from concept through production in a SaaS environment.\n\nTech Stack\nFrontend: React, Tailwind, Apollo\n\nBackend: Node.js / TypeScript microservices\n\nData: PostgreSQL, OpenSearch\n\nInfrastructure: AWS, Kubernetes, Lambda\n\nMessaging: Kafka, 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