Most job offers look way too similar to each other. Generic requirements, "competitive" salaries with no figure, and paragraphs copy-pasted from other postings. The result is predictable: dozens of applications from people who don't fit, and silence from those who would.
A good job offer does three things at once: it filters (turns away those who don't fit), attracts (convinces those who do), and sells (competes against other companies for the same talent). In this article you'll see concrete examples of how to achieve that.
The anatomy of an offer that converts
Before looking at full examples, it helps to understand the components of an effective offer and why each one matters.
Who we are. Not a copy-paste of the corporate website. An honest description of the team, the work pace, and what makes the company different. 3–4 sentences max.
What you'll do exactly. Real day-to-day tasks, not abstract responsibilities. The candidate should be able to picture a Tuesday morning doing the job.
Who and how you'll work with. Team size, who you report to, tools, methodologies. Context no candidate should have to guess.
What we're looking for (and what we're not). Must-haves separated from nice-to-haves. Being explicit here reduces unqualified applications and increases applications from candidates who hesitate.
Real conditions. Salary or range, work format, hours, location. Without this, top candidates will rule out the offer before applying.
What we can offer them. Specific benefits, not generic ones. "Good vibes" says nothing. "Fridays end at 2pm and €1,500/year for training" does.
Hiring process. Stages, timing, and who interviews. It reduces candidate anxiety and filters out those who can't handle the process.
Example 1: technical role at a product company
The first example is for a software engineering role at a tech company with its own product. Notice how "what you'll do" is completely concrete and avoids the typical "you'll collaborate with cross-functional teams".
Backend Engineer — Python & APIs
Tech company · Madrid On-site with flex · €42,000 – €54,000 · Team of 6 · Series A
About us
We're a 35-person company building management software for the hospitality sector. We're not a consultancy and we don't do client projects: we have a single product that 1,200 restaurants use every day, and every line of code you write directly impacts their operations.
We closed our Series A 8 months ago. The product team is small, decisions are fast, and the code you write tomorrow will be in production the day after.
What you'll do
Design and maintain the REST API connecting our mobile app to the backend (FastAPI + PostgreSQL). It currently handles around 400,000 requests per day.
Work on integrations with hospitality POS systems: read their protocols, transform data, and ensure end-of-day reconciliations always balance.
Review your teammates' code (and they'll review yours): serious PR reviews, not ceremonial ones.
Take part in designing new features from the start, not just receive tickets.
Team and how we work
The backend team is 6 people. We work in 2-week sprints, with planning on Mondays and an internal demo on Fridays. We use Notion for documentation, Linear for tasks, and Slack for asynchronous communication. No unnecessary meetings: if it fits in a message, we don't book a meeting.
Office in Malasaña (Madrid). Monday to Thursday in office, Fridays remote by default. Flexible start time between 8am and 10am.
What we're looking for
Must-have:
3+ years with Python in production environments (not just scripts, but systems that have to run 24/7)
Experience designing REST APIs and thinking about who will consume them
Comfortable with relational databases: complex joins, indexes, transactions
Nice to have, not required:
Some exposure to hospitality or retail (POS, ERPs, accounting integrations)
Experience with message queues (Redis, RabbitMQ)
Having been at an early-stage startup and knowing what "doing things right with the resources you have" means
What we offer
Salary between €42,000 and €54,000 depending on experience
Stock options
€1,200/year in training or conferences
MacBook Pro or ThinkPad — your choice
23 days of vacation + Dec 24 and Dec 31
Private health insurance from day one
Hiring process
20-min call with HR — for us to get to know each other and clear up any questions about the role before moving on.
Technical interview (1h, remote) — with two engineers from the team. We review past projects and solve a technical problem together (no whiteboard algorithms).
Meet the team (on-site) — a day at the office to see how we work. No tricks.
Flexible start date · Permanent contract
Why this example works: the candidate knows exactly which system they'll work on, what stack the team uses, what Fridays look like, and what they'll earn. Nothing to guess. That gives senior candidates the confidence to apply when they would otherwise rule out the offer without reading it.
Example 2: sales role at a growing company
Sales offers are particularly hard to write well because they tend toward either excessive enthusiasm ("join a family!") or corporate coldness ("acquisition of new clients within an assigned portfolio"). The example below avoids both extremes.
Account Executive — Spain & Portugal Market
SaaS B2B · Barcelona / Partial remote Hybrid (3 days office) · €32,000 base + uncapped variable · Sales cycle: 45 days · Average ticket: €8,000/year
The context
We've been in the market for 3 years and gone from 0 to 180 customers. We have clear product-market fit in the logistics sector and now we want to replicate that success in retail and manufacturing. For that we need an AE who wants to build a market from scratch, not just manage warm leads.
The sales team is 4 people. SDR who generates pipeline, you who closes it, and CS who retains. No chaos, no micromanagement.
Your day-to-day
Manage between 20 and 30 active opportunities in parallel in 30–60 day cycles
Run product demos yourself: there's no separate pre-sales role for mid-market accounts
Negotiate proposals and close annual contracts (no automatic discounts)
Give feedback to the product team about what you hear in demos. You're the voice of the market.
Attend 2–3 industry events per year (budget covered)
What we need
2+ years closing B2B sales with cycles longer than 30 days (not transactional)
Comfortable with CRMs: we use HubSpot, we want you to use it well, not avoid it
Native Spanish, English for occasional meetings with investors
Ability to learn a technical product and explain it without jargon
The compensation, in detail
€32,000 base. Uncapped variable structured as follows: €6,000 on hitting quota (€180k new ARR), 15% accelerator above that. AEs who've been here over a year earn between €45,000 and €58,000 total. We don't promise anything we can't show with data.
What we offer
€32k base + structured variable (details above)
Company car or transit pass
Tools: HubSpot, Apollo, LinkedIn Sales Nav
25 days of vacation
€11/day meal voucher
Fridays remote by default
Hiring process
Interview with the Head of Sales (45 min) — culture, motivations, questions about consultative selling experience.
Demo role-play (30 min) — we'll send you the product 48h in advance. Run the demo you'd give to a retail operations director. We're not looking for perfection, we're looking at how you think.
Offer — no extra bureaucracy. If both sides are convinced, we close.
Start within 3–4 weeks · Permanent contract
The variable detail makes all the difference: instead of "attractive variable", the offer explains the exact structure and gives real ranges of what other AEs earn. That filters out candidates who need maximum security and attracts those who trust themselves to beat quota.
The most common mistakes (and how to avoid them)
Just as important as knowing what to include is knowing what to avoid. These are the patterns that make a good candidate close the tab.
"Salary commensurate with experience". Makes the candidate assume the worst. If you can't put an exact number, put an honest range.
Inflated requirements. Asking for 10 years of experience in a technology that's 6 years old, or a master's for a junior role. It scares off valid candidates and doesn't filter the bad ones.
Two-page company description. Nobody reads the founding story or values in bullet points. Get to the point: what you do, for whom, how many you are.
"We're looking for someone proactive, eager to learn and results-oriented". This says nothing about the candidate you want. Be specific: what kind of problems do they solve? In what context?
Omitting the work format. If in 2026 an offer doesn't say whether it's on-site, remote or hybrid, the candidate will assume on-site and many will stop reading.
Not explaining the hiring process. Uncertainty puts people off. Saying "there will be several stages" when really it's 6 interviews and an 8-hour technical test is a classic expectations mistake.
What does work: being concrete, honest about the position's limitations, and giving all the information the candidate needs to decide without having to ask.
When to publish an offer and when not to
Publishing an offer makes sense when you have enough visibility for the ad to reach the right people. But there are profiles — especially senior technical roles or niche positions — where a public posting rarely reaches the right person.
In those cases, the alternative is active sourcing: directly identifying the people who fit and reaching out with a personalized message that presents the opportunity before they're even looking.
The most powerful combination mixes a well-written offer (for candidates who are already looking) with proactive sourcing (for those who aren't). A tool like HeyTalent lets you do the second one efficiently, with advanced Boolean search across LinkedIn profiles and automated outreach from a single platform.