How to build a job board

A job board looks like the easiest product in the world: a list of jobs, a button to apply, done. Then you launch and discover the hard parts were never the list. They were keeping it full, keeping it clean, and getting paid. This guide walks through what a job board actually is, what to build first, and where the budget really goes.

What it is and who it is for

A job board connects two sides: employers who want candidates, and candidates who want jobs. You sit in the middle. That middle position is where every interesting decision lives, because the two sides want opposite things and you have to keep both happy at once.

Most job boards fall into one of three shapes, and the shape changes the build:

A niche board (remote React jobs, jobs in one city, one industry). Small, focused, often the best business. You win by curation, not scale.
An aggregator that scrapes or ingests listings from elsewhere and adds value on top (better search, alerts, salary data).
A marketplace-style board where employers post, candidates apply in-platform, and you manage the whole pipeline.

The one core job your board must do well is match the right person to the right role fast. Everything else (billing, branding, fancy filters) is secondary. If a candidate cannot find relevant jobs in thirty seconds, or an employer's post sinks into a wall of noise, the product has failed regardless of how it looks.

The MVP feature set

Build the smallest thing that makes both sides come back. Here is what that means in practice.

Build first:

Job listings with structured fields (title, company, location, remote flag, salary range, tags). Structured beats free text because search and filtering depend on it.
Search and filtering that actually works: keyword, location, remote, category, salary band.
An employer post flow: create a listing, preview it, pay, publish.
An apply flow. Decide early: do candidates apply on your site, or do you redirect to the employer's link? Redirecting is far less work for the MVP and a perfectly good first answer.
Email job alerts. This is the single feature that brings candidates back without you paying for traffic twice. Do not skip it.
A basic admin panel to approve, edit, hide, or remove listings. You will use it daily.

Build later:

In-platform applications with resume upload and an applicant tracking view for employers.
Employer accounts and dashboards (managing multiple posts, seeing view and click stats).
Featured or sponsored listings, salary insights, company profiles.
Candidate profiles and a "let employers find me" reverse flow.

If you are figuring out the right cut line for a first release, our MVP development work is mostly this conversation: what earns its place in version one, and what waits.

The hard parts most people underestimate

The list of jobs is the easy 20%. Here is the 80% that surprises founders.

Keeping the board full (the cold start problem)

An empty job board is a dead job board. Candidates will not come without jobs, and employers will not pay to post where no candidates are. This is a chicken-and-egg problem and software does not solve it for you. The usual moves: seed listings manually at first, aggregate from public sources to look alive, or let employers post free until you have enough candidate traffic to charge. Decide your seeding strategy before you write a line of code, because it shapes the whole product.

Search that feels instant

For a few thousand listings, Postgres full-text search is genuinely enough, and we'd start there rather than bolt on a search engine to look serious. The trap is data quality, not the engine. "Remote", "Remote (US only)", "Anywhere", and "WFH" are the same idea typed four ways, and if you do not normalise them your filters lie to people. The same goes for locations, seniority levels, and salary ranges posted in different currencies. Clean, structured input at post time is worth more than any clever ranking algorithm.

Spam, scams, and moderation

The moment posting is free or cheap, you get fake recruiters, MLM pitches, and outright scams aimed at your candidates. One bad listing that harvests resumes can torch your reputation overnight. You need approval queues, the ability to suspend an account, and basic abuse signals from day one. This is unglamorous and always under-scoped.

Expiring and stale listings

Jobs get filled. A board full of dead listings frustrates candidates more than an empty one, because they apply into a void. You need automatic expiry, a way for employers to mark a role closed, and a re-listing nudge. None of it is hard. It is just always forgotten until candidates complain.

The stack we'd reach for

For most boards, a well-structured single app beats a pile of services. A typical setup:

Next.js for the frontend and most of the backend. Server components keep listing pages fast and SEO-friendly, which matters enormously here because organic search is how candidates find you. Our Next.js work leans on exactly this for content-heavy, search-driven sites.
TypeScript end to end so one team moves across the whole codebase.
Postgres as the source of truth. It handles structured listings, full-text search, and salary or location queries comfortably for a long time.
A background job runner for email alerts, listing expiry, and reindexing, so those never block a web request.
Stripe for employer payments, whether that is pay-per-post or a subscription.

A simplified core schema looks like this:

create table jobs (
  id            uuid primary key default gen_random_uuid(),
  employer_id   uuid not null references employers(id),
  title         text not null,
  company_name  text not null,
  location      text,
  is_remote     boolean not null default false,
  salary_min    integer,
  salary_max    integer,
  currency      char(3) default 'USD',
  category      text not null,
  description   text not null,
  apply_url     text,
  status        text not null default 'pending',  -- pending, live, expired, removed
  published_at  timestamptz,
  expires_at    timestamptz,
  created_at    timestamptz not null default now()
);
 
-- search and the two filters you will hit constantly
create index jobs_search_idx on jobs
  using gin (to_tsvector('english', title || ' ' || company_name || ' ' || description));
create index jobs_live_idx on jobs (status, category, is_remote)
  where status = 'live';

That status column and the partial index on live jobs do a lot of quiet work: they keep search fast and let your expiry job flip stale roles out of view without deleting anything. SEO and page speed are not afterthoughts for a job board, they are the growth engine, which is why we treat performance and SEO as part of the build, not a later cleanup.

Rough timeline and cost

Real ranges, framed as rough. Every board is different, and the apply flow is the biggest swing factor.

A focused niche board (listings, search, alerts, redirect-out apply, Stripe pay-per-post, admin panel): roughly 4 to 7 weeks and $12k to $25k.
A fuller board with employer accounts, dashboards, in-platform applications, and featured listings: roughly 8 to 14 weeks and $30k to $60k.
An aggregator that ingests and de-duplicates external listings: add 3 to 6 weeks for the ingestion and dedupe work alone, because that is its own small product.

Ongoing costs are modest at first: hosting, a transactional email provider for alerts, and Stripe fees. The real recurring cost is moderation and content, which is human time, not infrastructure.

What to watch out for

Treating it as a CRUD app. The database part is trivial. The product is liquidity, trust, and search quality. Budget your attention there.
Skipping email alerts. Without them you pay for every candidate visit twice. Alerts are your cheapest retention lever.
Letting the board go stale. Expiry and "is this still open?" handling are not polish, they are core. A stale board dies quietly.
Free posting with no moderation. You will get scams. Approval queues are not optional once money or resumes are involved.
Over-engineering search on day one. Postgres is fine for a long time. Spend the saved weeks on listing quality instead.
Forgetting the admin tools. If your team cannot remove a bad listing without a developer deploying code, you do not have a product, you have a liability.

Takeaway

A job board is not a list with a button. It is a two-sided product where the engineering is the easy part and keeping the board full, clean, and findable is the real work. Build the smallest thing that makes both sides return (listings, real search, alerts, payment, and an admin panel), get the data structured properly, and resist the urge to gold-plate before you have traffic.

This is squarely the kind of thing we build, and we are happy to tell you honestly what your version should and should not include in version one. Talk to us and we will map it out with you.