2026-03-15
|6 min read
|Industry Guides
How to Write a CV for a Tech Job: Engineers, Data Scientists, and Product Managers
A practical guide to writing a CV for tech roles. Covers what engineering, data science, and product management hiring managers actually want to see.
Why tech CVs are different
Tech hiring has its own culture. Unlike traditional industries where education and job titles carry the most weight, tech companies care primarily about what you have built and what impact it had. A degree from a prestigious university might get you a second look, but it will not compensate for a lack of demonstrated technical ability. Strong open-source contributions or a well-documented project portfolio can outweigh a non-traditional educational background.
The format expectations are also different. Tech hiring managers generally prefer clean, single-column layouts without graphics, photos, or decorative elements. Fancy designs can actually work against you in tech because they suggest you are prioritizing appearance over substance. Your CV should be scannable in under 10 seconds and machine-readable by applicant tracking systems.
Writing a CV for software engineering roles
For software engineering positions, your technical skills section matters more than in almost any other field, but it needs to be honest and specific. List the languages, frameworks, and tools you have actually used in production, not everything you have encountered in a tutorial. Organize them by category: languages, frameworks, databases, cloud platforms, and tools.
Your work experience bullets should follow a consistent pattern: what you built, how you built it, and what the result was. For example: "Built a real-time data pipeline using Apache Kafka and Python that processed 2 million events per day, reducing reporting latency from 4 hours to 15 minutes." Include your GitHub profile or personal projects if they are substantial.
Data science and machine learning CVs
Data science CVs need to bridge the gap between technical depth and business impact. Hiring managers want to see that you understand not just how to build models but why you built them and what they achieved. Instead of "Built a recommendation engine using collaborative filtering," write "Built a collaborative filtering recommendation engine that increased average order value by 12 percent across 500,000 monthly active users."
Consider including a brief section on your analytical toolkit beyond programming languages. Mention experience with experiment design, statistical methods, and data visualization tools. If you have published papers, given conference talks, or written technical blog posts, include them.
Product management: a different kind of tech CV
Product management CVs require a fundamentally different approach. You are not selling technical skills. You are selling your ability to identify problems, align stakeholders, and ship products that users love. Instead of "Managed a team of 8 engineers," write "Led a cross-functional team of 8 to launch a new checkout flow that reduced cart abandonment by 22 percent."
Include metrics wherever possible, but make sure they are metrics that matter. Revenue impact, user growth, retention rates, and time-to-market improvements are strong choices. Avoid vanity metrics like "managed a roadmap with 50 features" that describe volume without value. Tools like AutoApplier can help you tailor the emphasis of your product management CV for each role.
Put these ideas into practice
Create a tailored CV for your next application in minutes.
Try the CV Generator