Create a kick ass OfferZen profile

You can view an example of a great profile here.
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Your profile is what companies see before requesting an interview with you on OfferZen. This is your opportunity to highlight your unique experiences, skills, and personality.

Think of the Personal information section as your “quick context” for both your talent advisor and hiring managers. Use your real full name and your actual current location. Companies use this to check time zones and office‑location fit. Add a cell number you really answer and a WhatsApp number if that’s where you’re most responsive: most processes move fastest when people can reach you quickly. Treat the Additional links area like prime real estate: LinkedIn is the non‑negotiable one, then add Github and a personal site if you have them. Any link you wouldn’t be happy to open live in an interview probably shouldn’t go here, and it’s worth clicking each one to make sure it’s public and not 404’ing.

Your notice period fields are more important than most people realise: they’re often the difference between “we’d like to interview you” and “we need someone who can start sooner”. Choose the real length and type (calendar month vs from date of notice) and use the “conditions attached” box to flag anything with your Talent Advisor that might surprise a hiring manager later, for example: still in probation, fixed‑term contract end dates, or a big go‑live you’re committed to. Finally, double‑check that the “current role”, “years in role” and “overall experience” snapshot actually reflects your reality. If it doesn’t, edit in Work Experience. A senior title with 1 year of experience or vice versa triggers questions you don’t want to have to defend.

It’s important to have a well-lit picture of yourself. Yes, even a selfie will do. The photo does not have to be especially formal, but avoid sunglasses or looking intoxicated.

We suggest that you add a few social media profiles if you've got them. If you're only going to add one then include LinkedIn.

You'll stand out more if you include links to code you've written. The easiest way of sharing code would be to link your Github or StackOverflow accounts.

Treat the About section like your elevator pitch to another senior person in your field. Avoid the generic “I like challenges and I’m a hardworking developer”; instead, imagine you’ve got three sentences to convince a tech lead that it’s worth opening the rest of your profile. Lead with your role and domain (“I’m a backend engineer with 5+ years in fintech working mainly with Go and PostgreSQL”), add one or two concrete highlights (a migration you led, performance improvements, a team you’ve mentored), and then one line about how you keep your skills sharp – specific side projects, open‑source contributions, or communities you’re active in. If you can’t picture someone quoting your About back to you in an interview as an ice‑breaker, it’s probably still too vague.

This is where you either attract exactly the kind of roles you want, or accidentally invite a flood of noise. Instead of writing that you’re “looking for a challenge”, pretend you’re briefing a recruiter who’s going to search on your behalf: what titles would you be excited to see in your inbox, which tech stack do you actually want to work with, and what level of responsibility feels like a step forward? Limit your role preferences to the 3-5 titles you’d genuinely consider, and pair each with realistic experience. Claiming 8+ years as an Engineering Manager while describing only hands‑on IC work is a red flag. Be deliberate about location and workplace policy too: if you tick “Hybrid” but enter cities you wouldn’t move to, your matches will be less relevant. Use the Work Environment and “skills I want to work with” fields to show hiring managers what energises you, i.e. it’s better to say “React + TypeScript in product‑led teams” than to list every language you’ve ever touched.

Hiring managers skim this section looking for two things: “Have they done work like ours?” and “Can they explain it like a peer?”. Don’t just paste job‑spec bullet points. Describe what you actually built. For each role, think in terms of systems and impact: what did you own end‑to‑end, what technologies did you use day‑to‑day, and what measurable outcomes or interesting trade‑offs did you deal with? “Maintained APIs” is forgettable; “Rebuilt legacy API in Go, cutting average response times from 600ms to 150ms” is memorable. Keep your tech stack per role honest and focused on what you used regularly, not everything on the company’s wiki. And resist the urge to hide gaps: a line like “2021-2022: Career break for study and relocation” is far less scary to a manager than unexplained missing years they have to interrogate in an interview. You now also have the opportunity to explain reasons for leaving a role to make your career progression and timeline super clear.

Projects are your chance to show the work that your job titles don’t fully capture: the scrappy side project, the open‑source contribution, the internal tool everyone now relies on. Pick the ones that best illustrate the skills you want to use next and tell the story from a problem/impact angle: what was broken or missing, what did you build, and what difference did it make? Even small wins like “cut manual reporting time from 3 hours to 10 minutes” are gold to hiring managers. When you’ve used AI, be explicit about how: there’s a big difference between “occasionally asked ChatGPT for ideas” and “wired up a retrieval‑augmented search feature using OpenAI + a vector store”. Linking repos, demos, or screenshots is the secret handshake here. Most managers will at least click through, and a good project link can easily outweigh a weaker title on your CV.

Right now, AI fluency is one of those things that can quietly bump you to the top of a shortlist, but only if you explain it in concrete terms. Instead of ticking every option because you’ve “played with ChatGPT”, be honest about the level at which you operate: are you just starting on your AI journey, do you mostly use AI to speed up your coding and documentation, have you shipped actual AI‑powered features, or are you designing the underlying systems (data pipelines, vector stores, orchestration) that enable models to run effectively? In your summary, name the tools and workflows you rely on (“daily GitHub Copilot use for tests and refactoring”, “built a RAG system on top of OpenAI + Pinecone”, “evaluating LLM outputs with custom metrics”), and link the specific projects and roles where this shows up. A thoughtful note on where you’re cautious – IP, PII, bias – signals that you’re not just “playing with AI”, you’re ready to use it responsibly in production.

Education tends to be a quick credibility scan rather than the deciding factor, but gaps and half‑stories still raise eyebrows. Make sure the basics are complete and consistent with your CV: institution, qualification, field of study and dates. If you don’t have a formal degree, lean into what you do have – bootcamps, relevant certifications, etc – and let your projects and experience do the heavy lifting. The quiet power‑move here is to surface only what’s relevant: a cloud certification or solid data course means more to a hiring manager than a long list of unrelated short courses, so prioritise the entries that support the story you’re telling elsewhere in your profile.