# Engineering Manager, Maps & Search

**Company:** [Luxury Presence](https://hotfix.jobs/companies/luxury-presence)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 8+ years
**Skills:** TypeScript, Node.js, React, search systems, AWS, Kubernetes, GraphQL, Kafka, Postgres, opensearch, LLMs, Microservices
**Posted:** 2026-07-17

> Hands-on Engineering Manager to lead the Maps & Search team owning high-traffic real estate home discovery and search (1B requests/month). Requires staying technical with AI-augmented coding, driving architecture/relevance/scalability, and growing a senior team.

## Job Description

## 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

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