If you’ve been applying for hundreds of AI product manager roles, but not getting any actual interviews, it’s easy to get frustrated. With companies like Netflix offering upwards of $900k per year for AI product managers, it’s not hard to see why competition is so fierce. However, the reality could be that it’s your resume that’s holding you back. 

Sound familiar? Well, if that’s the case, don’t worry, as I talk about regularly on my YouTube channel, everyone can improve their resume with the right approach. As you’ll find out by reading through this article, getting noticed is just a matter of getting the right structure and content. 

I’m Dr Nancy Li and I’m a Director of Product. I’m here to give you the benefit of my years of experience and insight gained from recruiter feedback, coaching over 1000+ PMs landing AI PM jobs in Meta, Google, Amazon, and other unicorn startups, and the analysis of over 125,000 resumes. 

Here, I’m going to give you a step-by-step guide on how to create your AI product manager (PM) resume so that you get the interviews your experience, talent and ambitions deserve.

The Elements That Ensure Hiring Managers Notice You

Averagely speaking, recruiters have only six seconds to scan your resume, so it’s vital that everything important is laid out so that it’s easy to find. So, let’s take a look at the essential elements your AI product manager resume should include.

Element #1 - Your Contact Info, LinkedIn and Product Portfolio

The first step to getting an interview callback is to ensure that your contact information is clearly shown at the top of your page, along with your LinkedIn info and a link to your product portfolio (if you have one).

Here’s how it should look:

Joanne Smith

Miami, FL, 830-911-911 | [email protected] | LinkedIn | Portfolio

Element #2 - A Strong Objective

Next,  is your objective. Why should this be included? Well, if you’re moving from another industry (such as engineering), the hiring manager might not fully understand the motives behind your application. As such, it should be short, and show your title, years of experience, impact and future job aspirations. 

Here’s an example： 

Award-winning AI Product Manager with 8 years of experience in EdTech and Telecom,
leading products generating $250M in revenue. Passionate about building innovative
AI-driven solutions that delight customers and accelerate user growth.

With an objective like this on your resume, it will help you stand out, particularly as it shows your experience, achievements and future intentions.

Element #3 - Technical Skills

In addition to talking about standard PM skills (strategy, vision roadmap), it’s also imperative to list any technical skills that you have that might be relevant to the job you’re applying for. So, if you’ve got talents and expertise that you think might give you an added edge, include it. 

As we covered earlier, hiring managers only has 6 seconds to scan through a resume, so include this information near the top in short, easy-to-read bullet points. 

In the space of AI product management. Product managers don’t need to know how to code, but we need to know the type of technical elements that your technical team has used to develop and train your AI/ML models and deployment in production.

As such, here are some examples of technical skills an AI PM may use in your own AI product manager resume:

• ML frameworks (e.g. PyTorch, Amazon Sagemaker3)
• Convolutional neural network (CNN) mode
• Retrieval-Augmented Generation (RAG)
• Hallucination detection
• Q&A and NLQ techniques
• Creating data ecosystems
• Including data ingestion
• Vector Database
• Data engineering
• Data orchestration
• End-to-end infrastructure
• Prompt engineering
• LLM fine-tuning
• Data quality

Remember, you shouldn’t be adding any of these keywords that aren’t specific to your product. Avoiding the use of generic plug-in technical keywords, an example might look like this.

For example: 

Led the engineering team to Deploy the LLM and ML product on ML / AI development
tools such as AWS Cloud, and Lamda, ML frameworks (PyTorch, Amazon Sagemaker3)
to orchestration systems

Element #4 - Job Specific Keywords & Experience

Believe it or not, more than half of all resumes include fluffy content that’s filled with buzzwords, cliches and irrelevant information. Words like ‘passionate’ and ‘spearheaded’ might sound good, but they’re overused and are likely to lead the recruiter to move on to someone else. 

As we cover in more depth below, it’s important to use industry-specific keywords that are relevant to the role you’re applying for. Also, try to focus on the parts of your previous roles that are relevant to your future job.

For example, 

This AI Product Manager job at Netflix: Product Manager, AI Platform ($240K- $725K annual salary) 

They are looking for experience like the following based on their job description:

• Having led the vision and strategy for our model consumption layer, conversational assistants, LLMOps, prompt management, prototyping tools, and an opinionated app development framework for AI applications and agents. 

• 8+ years of experience as a Technical Product Manager with at least 2+ years of domain experience in ML/AI consumer scale AI platforms.

• A proven track record of managing and evolving a product portfolio and/or driving product vision and strategy

Your resume should reflect the key skills they are looking for in this specific role. So, for example, if I were to apply for this AI product management job at Netflix, I would include something like this in my resume. 

• End-2-end AI product life cycle: managed and launched the Smart Cities AI product from 0 to 1 including data pipeline development, ML image recognition model training, prompt management, LLM model fine-tuning, LLMOps, and cloud platforms

What’s also very important to note is that any experience you add to your resume needs to have been gained through real-life hands-on AI product management. As such, you shouldn’t simply list theoretical concepts on your resume that aren’t backed by work you’ve actually done. 

With this in mind, I’m holding an AI PM workshop next week (register here for free) during which I’ll be going over the latest hiring trends in AI product management and the practical framework used by my students in my AI PM Bootcamp, during which they create 23 AI product products in 2 months to gain priceless hands-on experience with a team of AI developers and data scientists.

This kind of experience truly is worth its weight in gold and it gives you something tangible that you can confidently include on your resume.

Element #5 - Highlight Achievements With Measurable Outcomes

While it’s crucial to include examples of your past achievements, they’re not going to have much of an impact on the reader of your resume if they’re not backed by measurable numerical outcomes. Here’s what meant by that…

• Achievements - Stakeholder improvements (E.g. How much money have you saved for the company?)
• Customer satisfaction - (E.g. How many more customers have used your product and rated it highly because of your work?)
• Organizational improvements - (E.g. How have you helped the company/client in efficiency or improved sales).

Your outcome should read something like this…

“Increased user retention by 35% by leading the development and deployment of an AI-powered recommendation engine, leveraging machine learning models to personalize user experiences across a platform with 1 million monthly active users.”

This helps the hiring manager to get a more rounded view of the kind of impact you have on the projects you work on.

Element #6 - Place Your Most Relevant Experience At the Top

If you’re straight out of university and you’ve yet to start your professional journey, then, of course, you’re going to lead with your academic achievements on your resume. However, if you’re someone with, say, 3+ years of working under your belt, it’s not going to be quite as relevant. 

In this case, you should move your academic achievement down beneath your work achievements as they’ll be of greater interest to a hiring manager. Also, if you happen to have 5-10 years of working experience, do the same, but be sure to mention more about your leadership qualities.

Element #7 - Include Product Management & Technical Skills

Again, you might not be someone with either technical or AI product management skills, as you might be moving from another industry or just entering the workforce. However, if you do possess skills in this area, it’s important that you include them in your skills session. Adding this information gives you another chance to include the kinds of keywords a hiring manager might be looking for. 

Here is an example. 

• Technical skills: MLOps, Axure 9, Convolutional neural network (CNN), SQL, SPSS,  R, Python, Salesforce, Customer Segmentation
• Product management and leadership skills: Product Management, Product Roadmap Documentation, Gamification, A/B Testing, Jira, Agile

Choosing the Right Keywords To Pass The ATS System

Another reason why you might not be getting to the interview stage when applying for AI product management roles is a lack of industry-relevant keywords. That’s what this section covers, however, before we get into AI product manager keyword specifics, let’s first look at some useful general product management keywords you choose to include.

• Minimum viable product (MVP) - This general keyword is a great one to include as it demonstrates an understanding of using the minimum effort to validate product ideas, get feedback from customers and validate the value proposition of your product. 
• Writing Product Requirements - Another good one to use, as it allows you to become aligned with different stakeholders, such as engineers or sales teams.
• User Story - Often used by PMs, a user story talks about the functionality and features of a product from the end user’s perspective so that stakeholders like engineers can interpret why a product is being designed at what the final iteration will need to achieve. 

• Voice of customer interview - Another common term that’s used in the best AI product manager resumes that describes the process of gathering the needs, requirements, whys and rationales of why customers have pain points and how they can be resolved.  
  
• Lead a cross-functional team - When working in AI product management, you’re likely to need to speak to various different stakeholders from sales and marketing to legal. This term is one that can have a great impact, as it shows your ability to communicate with people at all levels.

That might look something like this…

“Interviewed customers and studied market trends to understand their needs and convert them to actionable engineering-facing user stories; prioritize user stories and requirements.” 

It’s also important when writing your experience to create something for yourself rather than copying others. You want to stand out, not blend in.

AI Product Management Keywords

On top of the general keywords you might include in your resume, there are also a number that relate specifically to AI product management roles. On our Product Insider Podcast with Dr. Nancy Li, we highlighted many successful stories of how Product Manager Accelerator alumni break into FAANG companies as Senior GenAI PM. All of them started with the most important step: Highlight the AI PM keywords on their AI Product Managmeent resumes.

Let’s take a look a some of the AI product management keywords you choose to include. 

• LLM fine-tuning and hallucination detection: Techniques for improving large language models and reducing errors in their outputs.
• Q&A and NLQ techniques: Methods for enhancing AI’s ability to answer questions and process natural language queries.
• Conversational AI and Generative AI: Types of AI that interact with users in dialogue or create new content.
• Data ecosystem: The infrastructure and processes for managing data, including collection, preparation, and quality control.
• ML workflow: The series of steps involved in training, testing, and deploying machine learning models.
• End-to-end AI product lifecycle: The complete process of creating and launching an AI-powered product.
• Cross-functional collaboration: Coordination between different teams to ensure all aspects of a product work seamlessly.
• Industry trends and product roadmap: Insights and plans that guide AI product development based on market needs.
• ML/AI tools and platforms: Software and cloud services used to build and deploy AI systems.
• Generative AI use cases: Applications of generative AI in solving real-world problems and creating value.
• Tailored AI applications: Custom AI solutions designed to meet specific challenges or goals.
• Model partnerships: Collaborations with organizations that provide AI models or technology.
• Dataset management: Organizing and preparing data for effective use in AI training.
• AI observability and evaluation: Monitoring and assessing AI model performance to ensure reliability.
• Model optimization: Improving AI models to enhance their efficiency and accuracy.

Each industry has its own set of relevant keywords and the AI product management sphere is no different. By combining some of these with the general keywords mentioned earlier, you’ll give yourself the best chance of being noticed.

Gaining Real-World Experience Is Vital

If you’ve got serious aspirations of working as an AI product manager, getting real-world, hands-on experience is a real game changer. There’s nothing more likely to grab the attention of hiring managers. The question is, how do you get it before you’ve actually worked in the industry?

The AI space is new and evolving rapidly and our AI PM Bootcamp gives you an exciting opportunity to work with AI developers and data scientists. 

Most people don’t have this experience, so it will give you a real head start.

Securing the AI Product Manager Interviews You Deserve

Getting your resume noticed by hiring managers among the many they see every day involves doing everything you can to stand out. Whether it’s through demonstrating relevant previous experience or the valuable skills you possess, it’s all about talking the talk so you get the interview callbacks you deserve. 

I hope you’ve found the information in this article useful, but if you feel you need a bit more support, check out the PM resume template that’s already been used by 14,000 PMs to date, and that landed me 4 PM job offers in just 60 days! All that’s left to say now is happy job hunting.

Until next time!