A job posting is derived from a job description but optimised for external distribution. Where a job description is comprehensive and designed for internal alignment, a job posting is concise, engaging, and designed to convert readers into applicants. The shift in purpose — from specification to advertisement — requires a shift in language, structure, and emphasis.

An effective job posting leads with the candidate's question: what's in it for me? The role's responsibilities come second; the candidate-facing benefits, culture summary, and compelling reason to apply come first or are prominently featured. Job titles should match the terms candidates actually search for, not internal grading structures that are meaningless outside the organisation.

Distribution strategy significantly affects the volume and quality of applicants. Multi-posting to several job boards simultaneously reaches a broader audience but requires careful budget management — not all boards are equally cost-effective for every role type. LinkedIn is dominant for professional roles; Indeed drives high volume for a range of positions; specialist boards (for engineering, healthcare, legal, or other sectors) often produce higher-quality applicants at a higher cost per application but a lower cost per hire.

Google for Jobs has become an important distribution channel that many organisations don't explicitly manage. When a job posting uses structured data markup (or is distributed through an ATS that handles this), it can appear directly in Google search results — generating inbound applications at no direct cost. Optimising job postings for Google for Jobs indexing is increasingly part of any serious job distribution strategy.

Key Points: Job Posting

  • Candidate-centric framing: Leads with what the candidate gains, not what the company needs.
  • Search-optimised title: Job titles should match how candidates search, not how the company classifies roles internally.
  • Multi-posting efficiency: One-click distribution to multiple boards from an ATS saves hours per hire versus manual platform-by-platform posting.
  • Google for Jobs: Structured data markup enables job postings to appear in Google search results — a high-value free channel.
  • Board selection: Volume boards (Indeed), network boards (LinkedIn), and specialist boards serve different hiring needs and have different cost profiles.

How Job Posting Works in Treegarden

Job Posting in Treegarden

Treegarden's multi-posting feature distributes a job to multiple boards simultaneously with one click — LinkedIn, Indeed, and partner boards — without logging into each platform separately. Applications from all boards flow back into the Treegarden pipeline automatically, tagged with their source. The platform generates structured data markup for Google for Jobs automatically. Source analytics show which boards are producing applications and hires, enabling evidence-based budget allocation decisions.

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Related HR Glossary Terms

Frequently Asked Questions About Job Posting

A job description is a comprehensive internal document that defines the role — its responsibilities, reporting structure, decision rights, and success criteria. It is designed for internal alignment and is the source document from which all other role-related materials are created. A job posting is the external advertisement created from the job description, optimised for the platform and audience it is distributed to. A job posting typically uses more marketing-oriented language, leads with candidate benefits, is shorter and more scannable, and is formatted for the visual conventions of job boards. The same role may have multiple job postings optimised for different channels — a LinkedIn posting might be formatted differently than an Indeed posting for the same role.

Job board advertising spend should be calibrated to the expected volume of qualified applicants needed and the cost-effectiveness of each channel for the specific role type. Start with free channels: your own career site (free), Google for Jobs (free, requires structured data markup), LinkedIn free job postings (limited free distribution), and employee referral programme (low cost). Add paid distribution for roles where free channels are insufficient. Paid LinkedIn job postings typically cost $200-$500 per posting depending on location and role type. Indeed uses a pay-per-click or pay-per-application model with costs varying by competition and geography. Specialist boards have fixed listing fees that range widely. Budget should be tracked per role with source-to-hire data so that spend is concentrated on channels that produce hires, not just clicks.

The most effective job postings share several characteristics: a clear, searchable title that matches what candidates actually look for; a compelling opening paragraph that makes the candidate's first impression positive and informative; specific, outcome-oriented responsibility statements (what you will accomplish, not just what you will do); honest and competitive compensation information; a concise and authentic company description that gives candidates a real sense of culture and values; and a simple, fast application process with a low barrier to entry. Ineffective postings typically have generic titles, requirement lists that are inflated beyond what is genuinely necessary, corporate boilerplate in the company description, no salary information, and application processes that require extensive data entry before the candidate knows whether they are a genuine fit.

Job posting SEO applies the principles of search engine optimisation to job advertisement content to improve visibility in search engines, primarily Google for Jobs. Key practices include: using the exact job title that candidates search for as the primary heading, avoiding creative or internal-jargon titles that candidates won't search; including the location explicitly (city and remote status) in the posting title and body; using structured data markup (Schema.org JobPosting) to signal to Google what the page contains; including relevant skills and qualifications as natural keywords throughout the posting; and ensuring the career site is technically sound — mobile-friendly, fast-loading, and indexable by search engines. ATS platforms that handle structured data markup automatically handle the most technically complex aspect of job posting SEO.