The Brand Challenge
Top AI’s Jobs set out to build something difficult: a niche job board that could occupy a specific, defensible position in a vertical (Data and AI hiring) where the giants (LinkedIn, Indeed, Glassdoor) bury specialised roles under generic noise, and where the few genuine niche competitors are built on enterprise platforms that cost six figures to launch.
The thesis was clear — senior engineers, data scientists, and ML practitioners want a single place to find roles from real, named employers, filtered by the dimensions that actually matter to them: country, role specialisation, employment type, and remote preference. Not the recycled aggregator junk most job boards serve up.
The challenge was building that platform on a budget that made commercial sense, while still hitting the technical bar a senior engineering audience expects.
What We Built
Custom Post Type & Taxonomy Architecture
Rather than bolt the platform onto a generic job board theme, we built a fully custom WordPress data architecture from the ground up. A custom Job post type sits at the centre, supported by four taxonomies that power the entire user experience:
- Location — 33 countries from Argentina to United States, each with its own indexable archive page.
- Job Category — 15+ technical specialisations: AI Engineer, Android Engineer, Backend Engineer, Data Analyst, Data Engineer, Data Scientist, DevOps, Engineering, Engineering Manager, Frontend Engineer, Full-Stack Engineer, Machine Learning Engineer, MLOps, Software Architect, and Software Engineering.
- Job Type — Full-Time, Part-Time, Contractor, Internship.
- Job Tag — Seniority markers (Senior, Executive, etc.) for finer filtering.
This structure isn’t just for organisation — it powers the homepage filters, the URL architecture, the SEO ranking strategy, and the newsletter targeting all at once.
Multi-Dimensional Filter System
The homepage is built around a four-dimensional filter bar that lets a candidate narrow the entire feed to exactly the roles that match their profile in a few clicks:
- Location — Choose from 33 countries or browse by region.
- Job Type — Full-time, part-time, contractor, or internship.
- Job Category — 15+ technical specialisations.
- Job Preference — Remote, hybrid, or on-site.
Each job card displays the company logo, role title, employer name, location, category tags, employment type, salary band where available (e.g. “$217,000 – $265,000”), and freshness indicator (“12 hours ago,” “5 days ago”) — so the feed always feels current and trustworthy.
ATS Integration & Job Ingestion
Most job boards either die from manual data entry burden or fill up with low-quality scraped junk. We solved that by integrating directly with the Applicant Tracking Systems that the target employers actually use — particularly Greenhouse, which powers hiring at companies like Mozilla, Twilio, Gusto, Discord, Postman, Tripadvisor, Checkr, MaintainX, and dozens of other technical employers.
Job listings ingest into the platform automatically, with company logos pulling live from each employer’s ATS so the visual presentation stays consistent. The team can curate what goes live, but the heavy lifting of finding and importing roles happens in the background.
SEO Architecture for Long-Tail Discovery
This is where the build genuinely earns its keep. Because every taxonomy term generates its own indexable archive page, the site automatically has structural coverage for thousands of long-tail searches a candidate might type:
- /location/united-states/ → “remote data scientist jobs United States”
- /job-category/ai-engineer/ → “AI engineer jobs”
- /job-type/full-time/ → “full-time machine learning engineer roles”
- And every combination in between
That means as the site fills with jobs, it automatically becomes more discoverable — without anyone manually creating landing pages for each search variant.
Category-Targeted Newsletter
We added a newsletter system that asks subscribers which job category they care about (AI Engineer, Data Scientist, ML Engineer, etc.) when they sign up — so they receive targeted alerts instead of a generic firehose. This lifts engagement, reduces unsubscribes, and creates a recurring audience the team can monetise via sponsored placements or promoted listings down the line.
Content & Talent Pool
A blog section supports content marketing for additional organic reach beyond the job pages themselves, and a Talent Pool page opens an alternate revenue stream on the employer side — companies can browse candidates, not just post listings.
Technical Details
- Platform: WordPress with custom post type and taxonomy architecture
- Design: Elementor-built, modern tech-forward aesthetic
- Custom post type: Job (with full archive, single, and filter views)
- Taxonomies: Location, Job Category, Job Type, Job Tag
- Filtering: 4-dimensional simultaneous filter bar with AJAX-friendly UX
- Ingestion: ATS integration (Greenhouse) for automated job import
- SEO: Indexable archive pages for every taxonomy term, structured data, clean URLs
- Newsletter: Category-targeted subscription system
- Pages: Home, Browse Jobs (by type, location, category), Talent Pool, Blog, Privacy Policy
- Performance: Optimised to handle thousands of listings without bloat
The Outcome
Top AI’s Jobs launched with a real platform — not a templated job board, not a SaaS rental — engineered for the scale and SEO demands of a niche aggregator. Jobs from leading technical employers ingest daily, candidates can filter across four dimensions to find exactly the roles they want, and the SEO architecture is set up to compound organic traffic over time as the listing volume grows.
The platform is built to scale. As the team adds new countries, expands into adjacent categories (Product, Design, DevRel), or layers on monetisation (sponsored listings, employer subscriptions, featured placements), the architecture supports it without a rebuild.
For a niche job board competing against trillion-dollar generalists, the technical foundation is the moat. Top AI’s Jobs has one.
