LinkedIn Summary Examples — How to Write a LinkedIn About Section That Gets Recruiters to Message You

Your LinkedIn About section is often the first thing a recruiter reads after your headline. Most people either leave it blank, paste their CV summary, or write something so generic it says nothing. Here is how to write one that actually converts views into messages.

Get your CV and LinkedIn improved with AI

FuseCV rewrites your CV with the professional language and impact framing that makes recruiters reach out.

Improve My CV Free →

LinkedIn About vs CV Summary — Key Differences

Your LinkedIn About section and your CV summary serve different purposes and should not be identical. Your CV summary is tailored to a specific role and read by a hiring manager with a job description in front of them. Your LinkedIn About section is read cold — often by recruiters searching by keyword, or by people who clicked on your profile from a post or comment. It needs to work without context. It should be slightly longer, more conversational in tone, and include a clear signal of what kind of opportunity you are open to.

The Formula for a Strong LinkedIn About Section

  1. Opening hook (1–2 sentences): Your professional identity and what makes you different — not "I am a passionate marketer." Something concrete.
  2. What you do and for whom (2–3 sentences): Your area of expertise, the kind of problems you solve, the types of companies or teams you work with.
  3. Proof (2–4 bullet points or sentences): Your 2–3 most impressive achievements with numbers. This is the section most people skip.
  4. Where you are heading (1–2 sentences): The type of role, company, or challenge you are looking for. Be specific — vagueness does not help recruiters.
  5. Call to action: How to reach you. "Open to conversations about X — feel free to message me directly."

LinkedIn Summary Examples by Role

Software Engineer

I build backend systems that scale. Over the past 6 years I have worked across fintech and infrastructure tooling — most recently at a Series C SaaS company where I led the migration of a monolith to microservices, reducing P95 latency from 900ms to 120ms and cutting cloud spend by 31%. I work primarily in Go and Python, with strong opinions about observability and service reliability. Currently exploring senior or staff engineer roles at product-focused companies where engineering quality is taken seriously. Open to remote-first or London-based. Message me if you are hiring or want to talk shop.

Marketing Manager (B2B SaaS)

I help B2B SaaS companies build demand generation engines that actually fill pipeline. My background is in content and SEO-led growth — I have taken organic from 0 to 120K monthly visitors and built content programmes that generated 35–40% of qualified pipeline without paid spend. Most recently at a Series B HR tech company where I owned the full marketing function and grew MQL volume 3x in 18 months. I am passionate about building small, high-output marketing teams. Looking for a Head of Marketing or VP Marketing role at a product-led growth or content-driven SaaS business. Open to conversations — feel free to reach out directly.

HR Business Partner

I partner with senior leaders to solve the people problems that slow businesses down — whether that is scaling through hyper-growth, restructuring to cut costs, or rebuilding culture after a difficult period. Over 10 years I have worked with organisations from 80 to 4,000 employees across financial services, retail and tech. My most recent role involved partnering with the CFO and CPO through a 180-person reduction in force and a subsequent two-year rebuild. CIPD Level 7. Currently exploring HRBP Director or People Director roles at growth-stage companies navigating complexity. Feel free to message me directly.

Data Analyst

I turn messy data into decisions that stick. My background is in e-commerce and subscription analytics — building dashboards, running A/B tests and digging into cohort behaviour to find the levers that actually move retention and revenue. Strong in SQL, Python and dbt, with experience in Looker and Tableau. At my last company I built the churn prediction model that marketing used to reduce involuntary churn by 22% in one quarter. Looking for a senior analyst or analytics engineer role at a product-focused company where data has real influence. Happy to chat — message me here on LinkedIn.

Graduate / Entry-Level (Finance)

Final-year Economics student at the University of Edinburgh, graduating June 2026. I have spent the past two years building the analytical and commercial foundation for a career in investment banking or corporate finance — completing Bloomberg Market Concepts, participating in Edinburgh University Finance Society's simulated M&A competition (team reached national semi-finals), and completing a summer internship in the restructuring team at a mid-market advisory firm. I am actively applying for 2026 summer analyst programmes and off-cycle internships in investment banking, PE and corporate finance. If you are recruiting or would like to connect, please message me directly.

Sales (Account Executive)

I close complex B2B deals in the HR tech and workforce management space. Over 5 years as an AE I have consistently hit 115–125% of quota, closed the largest deals in two of those companies, and spent the last 2 years running a £700K annual quota in the mid-market segment. I am methodical about pipeline management, obsessive about understanding buyer psychology, and experienced with MEDDIC and Challenger approaches. Looking for a senior AE or first AE role at an early-stage company where I can help build the commercial motion. Open to conversations — message me.

Career Changer (Consulting → Product)

After 5 years in strategy consulting at a Big 4 firm, I moved into product management — and I have not looked back. The transition was deliberate: I wanted to build things, not just advise. Over the past 3 years I have shipped 4 major product features at a Series B SaaS company, led a 0-to-1 onboarding redesign that improved D1 retention by 22 percentage points, and owned the OKR process across 3 product squads. My consulting background gives me an unusual ability to structure ambiguous problems and communicate clearly with senior stakeholders. Looking for a Senior PM or Group PM role in a data-driven product team. Open to London or remote-first.

Customer Success Manager

I help SaaS companies keep and grow their customers. Over 6 years in customer success across fintech and HR tech I have managed portfolios ranging from SMB to enterprise, with total ARR under management peaking at £4.2M. I have reduced churn in every role I have held — most recently cutting net revenue churn from 12% to 3% over 18 months through a combination of proactive QBRs, health scoring and executive engagement. I specialise in the mid-market and enterprise segments and am experienced with Gainsight, ChurnZero and Salesforce. Open to CSM Lead, Director of CS or VP Customer Success conversations. Feel free to reach out.

LinkedIn About Section — What Not to Do

  • Starting with "I am a passionate..." — Every profile says this. It is meaningless. Start with what you actually do or deliver.
  • Repeating your job title and company names — That is what the experience section is for. The About section should add context, not repeat the timeline.
  • Writing in the third person — It sounds corporate and impersonal. Write as yourself.
  • No numbers anywhere — At least 2–3 specific metrics anchors your credibility. Without them, every claim is generic.
  • Wall of text — Use short paragraphs or bullet points. Most readers scan before they read.
  • No signal of what you want — Recruiters need to know what you are looking for. Vague About sections get skipped in favour of profiles where the intent is clear.

LinkedIn Keywords and Searchability

LinkedIn uses your About section in search ranking. Include the job titles you are targeting, the industries you work in, and the core skills that define your expertise — naturally, within your summary text. For example, a data analyst should include "SQL," "Python," "Tableau," "data analytics," and potentially "business intelligence" or "analytics engineering" depending on where they want to go. Keywords placed in the first 300 characters (the visible preview before "see more") carry additional weight because they influence click-through.

Make your CV as strong as your LinkedIn

FuseCV rewrites your CV with the same impact-focused language that gets recruiters to click your LinkedIn profile.

Improve My CV Free →