How to Write a Great AI Product Manager CV + Examples

Start with a clear CV header

A CV header is a simple section, but it’s also the most crucial. A single typo here can make it impossible for the recruiter to contact you. For every piece of detail you provide, ensure it’s written correctly and up to date.

Include:

• Full name and job title: e.g., Sarah Bennett | AI Product Manager. Adding your title reinforces your professional identity.
• Phone number: a reliable number that you check on a regular basis.
• Professional email address: avoid anything casual; keep it clear and businesslike.
• Location: city and country are enough (e.g., London, UK). Full addresses are outdated.
• LinkedIn profile: essential for product managers, as recruiters often check endorsements and your network.
• Portfolio or website: if you’ve published product case studies, launched apps, or shared thought leadership, include the link.

AI product manager CV header sample

Write a compelling AI product manager personal profile

The personal profile of your AI product manager CV should answer one simple question: what measurable difference have you made? Summarise your biggest wins, like product launches, user growth, or revenue impact, to give recruiters a reason to keep reading your CV.

Include the following information in your AI product manager CV profile:

• Your title and experience level: e.g., “AI Product Manager with 7+ years’ experience…”
• Specialisations: highlight areas such as NLP tools, predictive analytics products, or AI-enabled SaaS platforms.
• Quantifiable achievements: back up your impact with numbers (e.g., “grew user base by 40%” or “increased revenue by £3M”).
• Your value promise: a forward-looking statement about how you’ll help the employer succeed.

AI product manager CV example—personal profile

Detail your AI product management work experience

The work experience section is the best place to show how you’ve aligned product vision with company strategy. Your AI product manager CV should make it clear how your decisions improved revenue, user engagement, or operational efficiency. It’s the kind of evidence hiring managers value most.

To make sure you stand out, study each job description carefully and tailor your achievements to mirror the employer’s priorities.

Follow this structure for each entry:

• Job title: make your role clear (e.g., AI Product Manager).
• Employer name and location: where you worked (e.g., InnovateAI Ltd, London.
• Dates of employment: month and year are enough (e.g., Jan 2021–Present).
• 3–5 bullet points of achievements: use strong CV words and measurable results (e.g., “Launched AI-powered recommendation engine, increasing customer retention by 32%”).

Sample work experience entry for an AI product manager CVe CV

Highlight your education

The education section of your AI product manager CV helps establish credibility, showing you have both the technical foundation and the business insight needed to manage AI-driven products. While most employers expect a degree, what matters more is how your studies connect to the skills required in product management.

Degrees in Computer Science, Artificial Intelligence, Data Science, Business, or Engineering are particularly valued. If you’ve pursued postgraduate studies, list them first.

Here is how to structure your education:

• Degree title and classification: e.g., MSc Artificial Intelligence (Distinction).
• University name and location: e.g., University of Edinburgh, UK.
• Dates of study: month and year are enough.

If you have little experience that’s specific to an AI product manager position, consider including additional bullet points like:

• Relevant coursework and projects: highlight modules or research tied to AI or product management.
• Research papers: mention any of your academic papers, publications, or case studies that show expertise in AI or data-driven products.
• Dissertation/Thesis title: if directly related to AI, product development, or user experience, include the title.
• Academic achievements: list awards, scholarships, or distinctions to show academic excellence and commitment.

AI product manager CV education example

Showcase your skills

An effective AI product manager CV needs to present a balanced skill set. Employers want someone who understands the technical foundations of AI while also having the people skills necessary to work in a team and communicate with stakeholders.

Having a complete AI product management skill set means combining technical expertise (such as machine learning and data analysis) with product management skills (like roadmapping and communication). When listing skills on your CV, aim for a concise, scannable format with around 6–10 hard and soft skills in total.

Avoid dumping every tool you’ve ever used. Instead, select the skills most relevant to the job description. This ensures your CV feels focused and aligned with the employer’s needs.

Add bonus sections to make your AI product manager CV stand out

In AI product management, standing still means falling behind. Bonus sections demonstrate your commitment to continuous learning, whether that’s through certifications, publications, or thought leadership. Include them in your CV to show that you’re proactive in keeping pace with the industry’s rapid evolution.

Some popular bonus sections for an AI product manager CV include:

• Certifications: Prove you’re committed to staying current with both AI and product practices. Examples include Pragmatic Institute Product Management Certification, Certified Scrum Product Owner (CSPO), AWS Certified Machine Learning Speciality, or Google Cloud AI Engineer.
• Projects & Portfolio: Highlight product launches or side projects that demonstrate your ability to manage AI-enabled products. Examples include rolling out a recommendation system for e-commerce or managing a chatbot launch on a SaaS platform.
• Publications & Thought Leadership: Sharing your insights positions you as a product leader. Include articles, blogs, or conference talks on topics like AI product adoption, ethical AI, or product-market fit for AI tools.
• Awards & Achievements: Recognition from employers, industry groups, or hackathons shows credibility. Examples: “Product Manager of the Year 2024”, “Top 10 AI Product Innovation Award”.
• Languages: AI products are global by nature. Listing additional languages is valuable if you work with international teams or manage launches in multiple markets.
• Professional Memberships: Membership in bodies such as the Product Management Institute (PMI), Association of Product Professionals, or IEEE signals professionalism and commitment to continuous growth.

Sample bonus sections on an AI product manager CV

Format your AI product manager CV correctly

As an AI product manager, you know how critical design is to usability, and the same principle applies to your CV. A recruiter won’t engage with cluttered layouts or confusing structures. Clear, professional formatting makes your achievements easy to absorb and shows you understand the importance of user-centred design.

Here are the formatting rules for an AI product manager CV:

• Font choice: Stick with simple CV fonts like Arial, Calibri, Helvetica, or Garamond. Avoid decorative fonts that distract.
• Font size: Use 10–11 pt for body text, 12–14 pt for headings, and 14–16 pt for your name at the top.
• Margins: Keep margins between 1.5 cm and 2.5 cm for balance and readability.
• CV length: Aim for two pages. Enough space to highlight AI projects, leadership, and measurable results without overwhelming recruiters.
• Spacing: Use 1.15–1.5 line spacing and add white space between sections for a clean, scannable look.
• Headings: Make section titles bold or slightly larger so they’re easy to navigate.
• File format: Save as PDF unless the job posting specifies otherwise. This keeps your formatting consistent across devices.