Introducing Rezi Map: explore 3M+ jobs on an interactive map

Job search has always been list-based. You type a title, pick a location, and scroll through results. Today we're launching something different.

Rezi Map is an interactive map where you can explore over 3 million jobs worldwide. Instead of scrolling through listings, you search visually.

How it works

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1. Open the map

Go to map.rezi.ai and you'll see a world map with hundreds of jobs plotted across it. To filter the results, you can search by location, industry, and role using natural language to match the position you are looking for.

2. Choose the city

Zoom into any city or region on the map to explore available job opportunities near you. Our job postings are updated regularly so you always have access to the latest and most relevant listings.

3. Apply for the job you want

Click on any job listing to view its full details, requirements, and application instructions. You can also tailor your resume to match the specific role and apply quickly.

Bonus: Not sure where to focus your search? Use the map to quickly switch and compare job markets across multiple cities and regions. See where demand is highest for your skills.

Why a map changes how you search

When you see jobs on a map, patterns become visible that a list hides. You can spot clusters of opportunities in cities you hadn't considered. You can compare regions at a glance. You can see whether your field is concentrated in a few hubs or spread out across the country.

This is especially useful if you're open to relocating. Instead of searching city by city, you get the full picture in one view.

Who it's for

• People considering a relocation: see what's available in a new city before you commit
• Exploratory job seekers: browse opportunities in your area without a specific title in mind
• Career planners: understand where your industry is growing and where the jobs are concentrated
• Recruiters: use the companion candidates map to find people with specific skills in any region

Under the hood

The jobs map

Job postings are rendered as interactive vector tiles built with Tippecanoe, covering zoom levels 2 through 14 (world view down to neighborhood). A single job can have multiple coordinates if it's posted across several office locations, and each coordinate gets its own map point. Search results return as GeoJSON feature collections so the map can plot them directly.

Every job is pre-indexed into compressed Roaring Bitmaps, one per role, one per skill, and one per organization. Filtering does zero database round-trips. It's pure bitwise AND/OR across millions of records, in microseconds. Company matching is fuzzy, so "microsoft" automatically matches "microsoft usa" and "microsoft ireland" without you having to spell out every variant.

Natural language queries

Queries are parsed by an LLM (Gemini 2.5 Flash Lite) that extracts structured intent: roles, skills, industries, organizations, and a geographic target with an inferred zoom level from country down to neighborhood. "Bay Area Python engineers" resolves to coordinates plus a city-level zoom automatically.

Roles and skills are matched against the ESCO taxonomy and Crunchbase industry labels via semantic vector search, so "SWE" finds "software engineer" and related roles without exact-match keywords. Boolean logic is preserved from natural language too: "Python or Java AND AWS" maps to (Python OR Java) AND AWS in the bitmap filter.

Speed and freshness

Location filtering is lazy. Bitmaps narrow the result set first, then only matched records have their coordinates resolved into GeoJSON. That keeps response times fast even on broad queries that touch millions of records.

A dedicated map-builder service periodically rebuilds all bitmaps and uploads them to GCS, then signals the search engine to atomically hot-reload its in-memory cache with zero downtime.

The details

Rezi Map covers over 3 million jobs across industries and regions worldwide. You can filter by location, industry, and role. No account required.

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