When should a product manager dive deep into technical knowledge? And more importantly, how technical do you need to be? These are questions that many PMs, especially those without a computer science background, grapple with throughout their careers. Anand Subramani and Alex Allain recently hosted an event on Technical Foundations for Product Managers, to provide clarity on this critical topic. Here are the key lessons we distilled.
Know How Technical You Need to Be
There’s no one-size-fits-all answer to how technical a PM should be. It depends on your company’s industry, your role, and your team’s structure. AI PMs, for example, will need a deeper understanding of frontier technologies, while SaaS PMs can focus more on foundational knowledge. Working at a five-person startup demands a different level of technical depth compared to a 100,000-employee corporation.
“The answer is totally customized to your situation. You need a framework that takes into account your company, role, and existing knowledge.”
What’s clear is that every PM needs a personalized technical roadmap. This roadmap will help you zero in on the concepts most relevant to your job—whether that’s learning about APIs, front-end and back-end structures, or networking fundamentals.
Master the Basics of Engineering
While advanced coding isn’t necessary, mastering key engineering concepts can dramatically enhance your performance. Understanding things like what APIs are, how they work, and the fundamental structure of the internet empowers PMs to work more effectively with their engineering counterparts. These skills help you avoid confusion and miscommunication, ensuring you stay ahead. Some examples include SOC 2 compliance and how large language models (LLMs) function.
“Knowing these concepts makes you a better partner to your engineers and allows you to make more informed decisions.”
Put Your Knowledge to Use
Technical knowledge alone won’t move the needle. Applying what you learn is key to making a real impact. Whether it's improving engineering velocity, managing tech debt, or pushing a feature to market faster, your new technical insights need to drive tangible outcomes. Applying knowledge is often where PMs struggle—knowing the tech is just the beginning.
“Sometimes, technical knowledge can even backfire if not used properly. You need to apply it in a way that accelerates your career and team performance.”
Dive Into AI for a Competitive Edge
With AI at the forefront of product innovation, understanding how to leverage tools like large language models is becoming essential. But this isn’t about becoming a machine learning expert—it’s about knowing how to use AI to enhance your products without getting bogged down by the math behind it. Knowing how LLMs work, how to integrate them into features, and how to improve their performance are all parts of the technical foundation a PM generally needs.
Ready to Build Your Technical Foundation?
For PMs who are early in their careers or transitioning from non-technical backgrounds, mastering these foundational skills is a game-changer. Whether you're working with AI, software, or managing SaaS products, Alex and Anand's course, Technical Foundations for Product Managers, will guide you through building the technical knowledge you need to thrive.
As you embark on your journey, think about how these concepts apply to your current role. Are you equipped with the right technical skills to lead your team to success? If not, it’s time to start building your roadmap.
When should a product manager dive deep into technical knowledge? And more importantly, how technical do you need to be? These are questions that many PMs, especially those without a computer science background, grapple with throughout their careers. Anand Subramani and Alex Allain recently hosted an event on Technical Foundations for Product Managers, to provide clarity on this critical topic. Here are the key lessons we distilled.
Know How Technical You Need to Be
There’s no one-size-fits-all answer to how technical a PM should be. It depends on your company’s industry, your role, and your team’s structure. AI PMs, for example, will need a deeper understanding of frontier technologies, while SaaS PMs can focus more on foundational knowledge. Working at a five-person startup demands a different level of technical depth compared to a 100,000-employee corporation.
“The answer is totally customized to your situation. You need a framework that takes into account your company, role, and existing knowledge.”
What’s clear is that every PM needs a personalized technical roadmap. This roadmap will help you zero in on the concepts most relevant to your job—whether that’s learning about APIs, front-end and back-end structures, or networking fundamentals.
Master the Basics of Engineering
While advanced coding isn’t necessary, mastering key engineering concepts can dramatically enhance your performance. Understanding things like what APIs are, how they work, and the fundamental structure of the internet empowers PMs to work more effectively with their engineering counterparts. These skills help you avoid confusion and miscommunication, ensuring you stay ahead. Some examples include SOC 2 compliance and how large language models (LLMs) function.
“Knowing these concepts makes you a better partner to your engineers and allows you to make more informed decisions.”
Put Your Knowledge to Use
Technical knowledge alone won’t move the needle. Applying what you learn is key to making a real impact. Whether it's improving engineering velocity, managing tech debt, or pushing a feature to market faster, your new technical insights need to drive tangible outcomes. Applying knowledge is often where PMs struggle—knowing the tech is just the beginning.
“Sometimes, technical knowledge can even backfire if not used properly. You need to apply it in a way that accelerates your career and team performance.”
Dive Into AI for a Competitive Edge
With AI at the forefront of product innovation, understanding how to leverage tools like large language models is becoming essential. But this isn’t about becoming a machine learning expert—it’s about knowing how to use AI to enhance your products without getting bogged down by the math behind it. Knowing how LLMs work, how to integrate them into features, and how to improve their performance are all parts of the technical foundation a PM generally needs.
Ready to Build Your Technical Foundation?
For PMs who are early in their careers or transitioning from non-technical backgrounds, mastering these foundational skills is a game-changer. Whether you're working with AI, software, or managing SaaS products, Alex and Anand's course, Technical Foundations for Product Managers, will guide you through building the technical knowledge you need to thrive.
As you embark on your journey, think about how these concepts apply to your current role. Are you equipped with the right technical skills to lead your team to success? If not, it’s time to start building your roadmap.