AI Product Manager CV: Template, Examples & Tips (2025)
Create your CV nowArtificial intelligence is transforming industries, and product management is at the heart of that change. That’s why your AI product manager CV is a chance to show not only what you’ve achieved but also how you can shape the future of AI-driven products. With the right mix of technical skills, strategic vision, and leadership, you can stand out in this competitive field.
Let me tell you how to craft an AI PM CV that opens doors to exciting opportunities. No prompts needed!
This guide will show you:
- An AI product management CV example better than 9 out of 10 other resumes.
- How to write a CV for an AI PM that will land you more interviews.
- Tips and examples of applying skills and achievements on an AI product manager CV.
- How to describe your experience as an artificial intelligence product manager in your CV to get any job you want.
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One of our users, Nikos, had this to say:
[I used] a nice template I found on Zety. My CV is now one page long, not three. With the same stuff.
See more CV examples:
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Let’s start by looking at a great AI product manager CV example:
AI product manager CV template
John Simmons
AI Product Manager
john.simmons@email.com
+44 7123 456789
linkedin.com/in/johnsmith
Profile
Strategic AI Product Manager with 7+ years of experience driving the development of machine learning products across fintech and e-commerce. Proven track record of launching AI solutions that improved efficiency, customer engagement, and revenue growth by £2.5M a year. Adept at stakeholder management, agile delivery, and translating complex data insights into business outcomes. Passionate about ethical AI and eager to deliver innovative, data-driven products to Lylo Corp.
Work Experience
AI Product Manager
TechNova Solutions, London, UK
Jan 2021–Present
- Spearheaded the launch of an AI-powered recommendation engine, increasing user engagement by 30% and boosting annual revenue by £2.5M.
- Defined and delivered the roadmap for an AI-driven fraud detection product, reducing false positives by 15% and saving the company £500K annually.
- Coordinated a cross-functional team of 8 engineers and data scientists, achieving 95% on-time feature delivery.
- Partnered with UX and customer success teams to refine AI chatbot interactions, cutting customer service response times by 40%.
Product Manager (AI & Analytics)
FinEdge Ltd., Manchester, UK
Jun 2017–Dec 2020
- Delivered an AI-powered predictive analytics platform that improved forecasting accuracy by 25%, supporting £1.2M cost savings.
- Implemented A/B testing strategies for ML-driven features, increasing adoption rates by 20% within 6 months.
- Built and prioritised product backlogs aligned with stakeholder requirements, ensuring an 80%+ satisfaction score in internal surveys.
- Presented product vision and performance updates to C-suite executives and external investors, contributing to the successful Series B funding of £15M.
Associate Product Manager
RetailTech Innovations, Birmingham, UK
Sep 2014–May 2017
- Supported the development of an AI-powered pricing optimisation tool that drove a 10% increase in online conversion rates.
- Collaborated with engineering teams to introduce agile sprint planning, reducing release cycles by 20%.
- Conducted competitor analysis and user interviews, informing product features that led to a 15% improvement in customer satisfaction.
Education
M.Sc. in Computer Science (Machine Learning)
University of Cambridge
2016–2018
- Dissertation: “Optimising Neural Network Models for Financial Forecasting” (Distinction)
- Relevant Courses: Advanced ML, NLP, Data Mining
B.Sc. in Mathematics
University of Bristol | 2011–2014
- Dean’s List for Academic Excellence (2013–2014)
Skills
- AI/ML knowledge: Strong understanding of artificial intelligence and machine learning concepts, algorithms, and applications to guide product strategy.
- Product lifecycle management: Experience managing AI products from ideation through development, launch, and iteration.
- Roadmap planning & prioritisation: Skilled in defining product roadmaps, prioritising features, and aligning with business objectives.
- Stakeholder management: Proven ability to engage and align cross-functional teams, executives, and external partners.
- User experience (UX) awareness: Knowledge of designing AI-driven solutions that are user-centric and intuitive.
- Cross-functional team leadership: Demonstrated ability to lead and motivate teams across engineering, design, data science, and marketing.
- Agile & Scrum methodologies: Experienced in managing AI product development using agile practices to ensure timely delivery.
- Problem-solving & decision-making: Skilled at identifying challenges, evaluating solutions, and making data-informed decisions.
- Collaboration & teamwork: Strong interpersonal skills to foster effective teamwork and knowledge sharing across departments.
- Adaptability & resilience: Comfortable navigating the fast-changing AI landscape and adjusting strategies to meet evolving requirements.
Certifications
- Certified Scrum Product Owner (CSPO), Scrum Alliance (2022)
- AI Product Management, Product School (2023)
Awards
- AI Innovator Award, TechNova Solutions (2021)
- Winner, London University AI Hackathon (2019)
Now that’s an outstanding AI PM CV sample. Without further ado, let’s see how to make one for yourself.
1. Format your AI product manager CV correctly
How you present your AI product management CV is just as vital as its content. Hiring managers look for structure, clarity, and evidence of both technical knowledge and project leadership. A well-formatted AI PM CV shows your ability to organise complex information.
📝 Here’s how to format a CV for an AI product manager:
- Follow the correct CV structure for better readability. Make sure to include the following sections:
- CV header (with your name, position, phone number, and e-mail address)
- Professional summary
- Work experience
- Education section
- Key skills
- Extra sections
- Select the appropriate font for your CV. The most common options include Arial, Calibri, and Times New Roman.
- Set your CV margins to one inch on each side and adjust the line spacing to 1.15 points.
- Keep the right CV length. That’s a one-page CV template that suits an entry-level candidate, but if you have numerous relevant achievements, your CV could be longer.
- Name your file appropriately. Your surname and the position you are applying for should suffice.
- Save your CV as a PDF, unless the job ad specifies otherwise. This format is easy to view on most devices, so your CV layout stays intact.
💡 Read more: How to Write a CV
2. Highlight your work experience in an AI product manager CV
With AI reshaping the UK job market, it’s important to show that you can deliver measurable outcomes. In your work experience, focus on achievements that connect data science to business goals
📝 Here’s how to describe your work experience on an AI PM CV:
- Present your latest activities in reverse chronological CV format. That way, your recruiter will focus on your most recent accomplishments.
- Prove that you’re the perfect fit by tailoring your CV to the job description.
- Mention companies’ names, dates of your employment and the city you worked in underneath each entry.
- Focus on your achievements, as they are far more impressive than your duties.
- Use bullet points to highlight your achievements even more and to boost the readability of your CV.
- Stress quantifiable results whenever possible. Numbers pop and make a difference, so use them to your advantage.
AI product manager CV example (experience section)
Right |
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AI Product Manager
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Wrong |
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AI Product Manager
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Examples above convey the same message. The first one, however:
☑️ is detailed
☑️ lists achievements rather than duties
☑️ uses quantifiable accomplishments
And that makes it impressive.
What about applicants with limited experience? There's a way to make your CV work. Focus on the skills suitable for the role you want, and you can impress your hiring officer and be seen as a promising candidate!
AI product manager CV example (without experience)
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Project Coordinator
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Wrong |
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Project Coordinator, Retail Connect
|
Once again, the same message represented differently. The first example makes it as relevant to the AI pm job as possible, while the second only lists some vague duties. You know well which one does a better job at impressing the reader.
When making a CV in our builder, drag & drop bullet points, skills, and auto-fill the boring stuff. Spell check? Check. Start building a professional CV template here for free.
When you’re done, Zety’s CV builder will score your CV and tell you exactly how to make it better.
3. List education in your AI PM CV
AI is a technical field, and employers value candidates with a solid academic background in machine learning, computer science, or data-driven areas. Remember, beyond the degree, it’s about showing the relevance of your studies.
📝 Here’s how to create a great CV education section:
- Include the following:
- Your earned degree
- Minors and majors
- School location
- Graduation date (or expected graduation date)
- Consider including:
- Relevant coursework
- Impressive GPA (that’s equal to or higher than 3.5)
- Extracurricular activities
AI PM CV sample (education section)
Right |
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M.Sc. in Computer Science (Machine Learning)
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Graduating from Cambridge is quite impressive. However, it is these bullet points that make it truly relevant and therefore even more remarkable.
💡 Thinking about whether to include references on your CV? Find out more in our guide: Including References on a CV
4. Highlight skills in your AI product manager CV
An effective AI Product Manager combines hard skills with soft skills. You must manage teams and stakeholders, understand technical details to guide AI development, and make data-driven decisions. Look for those skills in your CV, as they are likely already embedded in your education and experience sections.
AI product manager CV—transferable skills
- Analytical skills
- Communication skills
- Active listening skills
- Decision-making skills
- Computer skills
- Interpersonal skills
Hard skills for an AI product manager CV
- AI/ML knowledge and understanding of algorithms
- Product lifecycle management
- Data analysis and interpretation
- Roadmap planning and prioritisation
- Requirements gathering and specification
- Market research and competitive analysis
- User experience (UX) design awareness
- Agile/Scrum methodologies
Below is a sample skills section from an AI product management CV that illustrates best practices:
AI product manager skills on a CV: example
- AI/ML knowledge: Strong understanding of artificial intelligence and machine learning concepts, algorithms, and applications to guide product strategy.
- Product lifecycle management: Experience managing AI products from ideation through development, launch, and iteration.
- Roadmap planning & prioritisation: Skilled in defining product roadmaps, prioritising features, and aligning with business objectives.
- Stakeholder management: Proven ability to engage and align cross-functional teams, executives, and external partners.
- User experience (UX) awareness: Knowledge of designing AI-driven solutions that are user-centric and intuitive.
- Cross-functional team leadership: Demonstrated ability to lead and motivate teams across engineering, design, data science, and marketing.
- Agile & Scrum methodologies: Experienced in managing AI product development using agile practices to ensure timely delivery.
- Problem-solving & decision-making: Skilled at identifying challenges, evaluating solutions, and making data-informed decisions.
- Collaboration & teamwork: Strong interpersonal skills to foster effective teamwork and knowledge sharing across departments.
- Adaptability & resilience: Comfortable navigating the fast-changing AI landscape and adjusting strategies to meet evolving requirements.
Even the most outstanding skills might not help you stand out from your competitors. But the right description surely will.
💡 Pro tip: If you're new to the field, you might want to consider a skills-based CV. Just make sure to highlight your skills in a way that shows how they relate to the AI product manager role.
5. Put additional sections on your AI product management CV
Think you’ve finished your CV? Add a few extra sections. They can be the secret sauce that differentiates you from other candidates. Just remember to keep them all as relevant to the position as possible.
Additional sections for an AI product manager CV include:
- Associations and memberships
- Certifications and licences
- Publications
- Awards and honours
- Volunteer experience
- Hobbies and interests
- Language abilities
AI product manager CV: examples of additional sections
Right |
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Certifications
Awards
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Wrong |
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Certifications
Awards
|
The first example:
☑️ is relevant
☑️ highlights what’s important to the hiring officer
The second one presents information ineffectively, plus includes some irrelevant details. That creates a poor impression.
💡 Read more: Top CV Writing Tips for 2025
6. Create an impressive AI product management CV summary
Recruiters skim CVs fast, so your CV profile should be like a product pitch: concise, impactful, and tailored. In your CV introduction, show the ability to oversee AI projects, deliver measurable results, and translate AI into business value. Highlight your machine learning fluency, strategy, leadership, and impact creation.
And the easiest way to make it? Just follow this formula:
Adjective + AI product manager + Years of experience + Achievements + Skills + What you want to do for the employer
CV for AI product manager example: summary
Right |
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Strategic AI Product Manager with 7+ years of experience driving the development of machine learning products across fintech and e-commerce. Proven track record of launching AI solutions that improved efficiency, customer engagement, and revenue growth by £2.5M a year. Adept at stakeholder management, agile delivery, and translating complex data insights into business outcomes. Passionate about ethical AI and eager to deliver innovative, data-driven products to Lylo Corp. |
Wrong |
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Hardworking product manager with experience in AI. I have worked in lots of companies and done many projects. Good at teamwork, talking to people, and understanding technology. Looking for a role where I can use my skills and grow my career. |
Strong CV profile tailored to the job vs. poorly-written generic text. You don’t have to be a recruiter to know which one works better.
💡 Pro tip: All the information needed for writing your CV profile is already in your CV. That’s why, even though it’s supposed to be placed at the top of your document, write this section last.
7. Add a cover letter to your AI product management CV
In AI product management, communication is key. A cover letter shows how you can persuade, influence, and inspire. Explain why you’re drawn to a company’s AI challenges, and how your AI and product skills can help them innovate faster and more responsibly.
📝 Here’s how to write a cover letter for an AI product manager CV:
- Start your cover letter strongly and grab the reader’s attention from the top.
- Include all essential parts of your cover letter. Contact info, professional salutation, and how hiring you benefits the company should not be overlooked.
- Keep the correct cover letter length. Anything exceeding 300 words, or spanning one page or four paragraphs, is too lengthy.
- Finish your cover letter with a clear call to action and specify an exact date for an interview. It may seem bold, but it works wonders!
Plus, a great cover letter that matches your CV will give you an advantage over other candidates. You can write it in our cover letter builder here. Here's what it may look like:
See more cover letter templates and start writing.
Key takeaway
Creating a standout AI product manager CV may seem daunting, but you’ve put in the time and effort, and now you know exactly what to do.
Let’s summarise the key steps to remember:
- Follow a clean CV layout with clearly marked sections (e.g., Header, Summary, Experience, Education, Skills).
- List your work history in reverse-chronological order.
- Limit your CV to 1–2 pages, and ensure your CV is easy to read at a glance.
- Open with a CV profile that highlights your top achievements and skills relevant to AI product management.
- Focus on accomplishments and use numbers to quantify your impact.
- List your degrees, plus any honours or key courses that contribute to your AI or product expertise.
- Include a balanced mix of hard skills and soft skills. Ensure these match the requirements for AI product manager roles in the UK.
- Incorporate keywords from the job description.
- Add extra sections that add value and are detailed enough to be meaningful.
- Add a cover letter. Make sure it’s tailored to the job you’re after and consistent with your resume.
Thanks for reading, and good luck with your AI product manager CV!
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