If you're applying for engineering or product management roles in the AI sector today, you're up against intense competition. The job market has never been more competitive. On average, candidates are competing against perhaps 500 or more other applicants for a single role. If you're relying solely on traditional methods, your odds of landing the job are shockingly low—around 0.2% if you're doing the bare minimum.
The latest data shows AI-related job postings have grown by 38% between 2020 and 2024 Orangedox, making this one of the fastest-growing job categories globally. However, this growth has attracted massive competition. In just the first few months of 2025, AI-specific roles jumped from 0.32% of all roles in 2024 to 2.17% Ravio, indicating companies are accelerating their investment in AI skillsets.
Why the dramatic difficulty? Ironically, AI is part of the problem. Many candidates are using AI tools to optimize their applications, meaning that "every savvy candidate is tailoring their resume to the job description," and subsequently, many applications look almost identical. Even sophisticated AI screening tools struggle to differentiate a top-tier candidate from a merely qualified one when everyone is leveraging the same keyword matching strategies.
Entry-level jobs are especially vulnerable, with nearly 50 million U.S. jobs at risk in coming years World Economic Forum. Junior roles in People, Marketing, and Engineering have seen hiring rates plummet by 75-84% in just one year Ravio, raising critical questions about talent pipelines and career development.
To break free from this competitive "deep dark bucket of applications", you need an unlock. According to recruiting expert Chase Johnson, a recruiting operator from Writer who previously helped build Replet, the key to standing out is shifting focus from passive descriptions to active demonstration.
The Ultimate Unlock: Proof of Work Over Bullet Points
The single biggest differentiator for candidates in today's market is taking advantage of proof of work over bullet points. Proof of work examples provide opportunities to show recruiters and hiring teams how you work.
Proof of work can include a variety of formats:
- Portfolios
- Blogs
- Projects
- Videos demonstrating your work
In 2025, 72% of hiring managers said they prefer candidates with a portfolio, whether it's a personal website, an interactive presentation, or a social media page Canva. This represents a fundamental shift in how hiring decisions are made.
When a recruiter encounters an application with visible proof-of-work examples, they are often able to dig three layers deeper than they can with a résumé that only contains bullet points. This evidence helps recruiters connect the dots, showing them exactly how you will make an impact. These examples can be game-changers, allowing candidates who might not be the most experienced to demonstrate their momentum toward the required work.
Crucially, good recruiters will spend the extra time reviewing an applicant's portfolio if the applicant has been thoughtful about what they put forward.
Practical Advice for Product Managers (PMs)
While engineers often rely on GitHub and projects to show what they built, PMs are encouraged to do the exact same thing.
PMs should build a portfolio and maintain a blog about how they work and what they do.
This material shows "eagerness" and helps hiring teams understand how you execute the work, preventing you from looking like "the same PM as everybody else in the pile".
A portfolio doesn't have to be elaborate; it's considered an expanded résumé. A simple blog site is often enough, or even a low-lift option like an organized Google Doc with public access can be just as effective.
Showcasing AI Experience and Specific Focus Areas
When describing AI experience, job seekers should think broader and focus on outcomes.
Instead of listing technical specifics, articulate what problem you solved with AI and why it is cool.
It's valuable to show that you are tinkering with things to solve problems, even if the projects are not work-related (e.g., an equity calculator built for personal use).
If you are an engineer or PM looking to work specifically at an AI company, exploring Agents work is highly beneficial. Companies are "indexing heavy" on agent work, as it is seen as the future of many workflows.
The Agent Revolution in 2025
AI agents have emerged as a significant trend, with adoption expanding across industries due to their ability to tackle complex tasks and make independent decisions IntelegainProjectPro. The market is experiencing explosive growth across multiple sectors:
Healthcare AI agents can process patient data up to 1,000 times faster than manual methods, with the global AI in healthcare market expected to grow from USD 20.9 billion in 2024 to USD 148.4 billion by 2032 Intelegain
The restaurant AI agent market is rapidly expanding, with revenue expected to grow from USD 5.79 billion in 2024 to USD 14.70 billion by 2030 Intelegain




