How technical do you have to be as a Product Manager 🤔?

There’s a common unspoken myth in product management that to succeed, you must have strong technical chops. This includes SQL fluency, system architecture diagrams, API troubleshooting… the list goes on. For many of us—especially those coming from non-technical backgrounds—this can feel like a disqualifier before we’ve even stepped up to the starting line and it can be discouraging. 

I’ve felt this insecurity hanging over my head many times. As someone who is hoping to transition into product management from the arts, I sometimes worry whether I “have what it takes.” But over time, I’ve come to understand that the role of a Product Manager (PM) is far more varied than a job description might suggest. So let me say this clearly: there is no single “right” way to be a PM and in terms of technical skills, you can definitely lean into them if you are curious or after a technical product manager job. 

I want to preface that this post isn’t a prescriptive list of skills everyone needs to acquire but rather an exploration of what’s possible and what you can consider. 

You can lean into technical skills if you’re curious. You can also lead with strategy, storytelling, user empathy, or domain expertise. What matters most is knowing who you are, what you bring to the table, and what kind of PM you want to be.

‍

Step One: Define the Kind of Product Manager You Want to Be

‍

Before diving into code or signing up for a bootcamp, pause. Ask yourself:

  • What type of product manager do I want to be? (Technical PM? Growth PM? 0-1 PM? Internal tools PM?)

  • What size of company fits my working style—startups, scale-ups, or large enterprises?

  • Which industry am I most passionate about?

  • What strengths and past experiences do I bring to the role?

These questions are foundational. A Technical PM in an AI startup may need to understand microservices and LLMs. But a PM building internal tools at a large financial institution may rely more on stakeholder alignment and systems thinking than deep technical implementation. The “technical bar” shifts based on the role, company, and industry.

‍

Step Two: Understand What “Technical” Really Means in Product

‍

Being “technical enough” as a PM often isn’t about coding—it’s about communication.

  • Can you ask the right questions to clarify engineering trade-offs?

  • Can you weigh considerations like scalability vs. speed, security vs. ease of use?

  • Can you understand what’s feasible, how long something might take, or how risky an approach is?

These are the conversations that build trust with engineers and allow you to lead product strategy effectively. And yes, sometimes it helps to query your own data with SQL or debug an API call—but these are tools, not requirements.

‍

What the Community Said

‍

When we brought this topic to the TPMA  community, we heard from PMs at different stages and backgrounds. Here’s what they shared:

Foundational Technical Tools Can Be Empowering

One theme came up repeatedly: technical tools like SQL are essential for product managers working in data-driven environments. SQL allows PMs to pull their own insights and move quickly without relying on others. Python—especially when paired with Pandas—is also powerful for combining and analyzing datasets. Beyond that, understanding APIs, having a basic grasp of system architecture, and being familiar with low-code tools can make a huge difference when it comes to rapid prototyping and scoping out new ideas.

Confidence in Technical Skills Varies—and That’s More Than Okay!

Not every product manager is at the same technical level—and that’s perfectly fine. Some are deep into AI integrations and debugging tools, while others are just beginning to explore log analysis or cloud infrastructure. The important takeaway is that everyone is still learning. You don’t need to know everything—you just need the curiosity and willingness to explore what your current role and context demand.

‍

Looking Back, Earlier Exposure Helps—but Isn’t Required

Many PMs reflected on how helpful it would have been to learn tools like SQL or concepts like system design earlier in their careers. Not because these were strict requirements, but because they helped reduce friction and speed up decision-making. That said, it’s never too late to start—the benefits are real no matter when you pick up these skills.

‍

Being Technical Builds Trust with Engineering

A strong technical foundation doesn’t just help with your own work—it builds credibility with your engineering team. Understanding technical basics allows you to contribute meaningfully in discussions about feasibility, scope, and risk. Even if you're not writing the code yourself, having the context helps you collaborate more effectively and earn your team’s trust.

‍

Optional Tools for Today’s PMs: 

‍

These tools not only boost your technical fluency but also unlock new ways to deliver value faster. 

  • SQL

  • Analytics platforms like Google Analytics, Hotjar, and Optimizely

  • API knowledge

  • Awareness of cloud platforms like AWS or GCP

  • A working understanding of generative AI

  • Low-code or no-code platforms for quick prototyping
    ‍

‍

Looking Ahead: What Skills Might Matter in 2–3 Years?

‍

The PMs we spoke to predicted that these skills will rise in importance:

  • Applied Generative AI (building workflows, understanding LLMs)

  • Deeper data analysis skills

  • System architecture fluency

  • AI + API integrations for product personalization and automation

But again: these are options—not mandates. Let your curiosity, role, and product goals guide where you invest your learning energy.

‍

A Different Kind of Growth

Want to grow technically without jumping into a bootcamp?

Here’s one suggestion: schedule 1:1s with engineers on your team—not to get answers, but to build relationships and ask why. Explore what they’re excited about. Learn how they think. Understanding their world builds empathy, fluency, and trust—all critical ingredients for product success.

‍

Final Thoughts

Your path into product management doesn’t need to look like anyone else’s.There are PMs out there who came from sales, from the arts, from QA, from engineering, from academia—and every one of them brings a unique lens.

So if you’re wondering, “Do I need to be technical to do this job well?”—know that the real answer is: it depends on the job... so continue being curious, communicative, and aligned with your product’s needs.

Technical skills can help, but they’re not the only way in.

Lean in, if it excites you. And if it doesn’t? That’s fine too. Either way—you belong here.

‍

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How technical do you have to be as a Product Manager 🤔?

June 9, 2025

There’s a common unspoken myth in product management that to succeed, you must have strong technical chops. This includes SQL fluency, system architecture diagrams, API troubleshooting… the list goes on. For many of us—especially those coming from non-technical backgrounds—this can feel like a disqualifier before we’ve even stepped up to the starting line and it can be discouraging. 

I’ve felt this insecurity hanging over my head many times. As someone who is hoping to transition into product management from the arts, I sometimes worry whether I “have what it takes.” But over time, I’ve come to understand that the role of a Product Manager (PM) is far more varied than a job description might suggest. So let me say this clearly: there is no single “right” way to be a PM and in terms of technical skills, you can definitely lean into them if you are curious or after a technical product manager job. 

I want to preface that this post isn’t a prescriptive list of skills everyone needs to acquire but rather an exploration of what’s possible and what you can consider. 

You can lean into technical skills if you’re curious. You can also lead with strategy, storytelling, user empathy, or domain expertise. What matters most is knowing who you are, what you bring to the table, and what kind of PM you want to be.

‍

Step One: Define the Kind of Product Manager You Want to Be

‍

Before diving into code or signing up for a bootcamp, pause. Ask yourself:

These questions are foundational. A Technical PM in an AI startup may need to understand microservices and LLMs. But a PM building internal tools at a large financial institution may rely more on stakeholder alignment and systems thinking than deep technical implementation. The “technical bar” shifts based on the role, company, and industry.

‍

Step Two: Understand What “Technical” Really Means in Product

‍

Being “technical enough” as a PM often isn’t about coding—it’s about communication.

These are the conversations that build trust with engineers and allow you to lead product strategy effectively. And yes, sometimes it helps to query your own data with SQL or debug an API call—but these are tools, not requirements.

‍

What the Community Said

‍

When we brought this topic to the TPMA  community, we heard from PMs at different stages and backgrounds. Here’s what they shared:

Foundational Technical Tools Can Be Empowering

One theme came up repeatedly: technical tools like SQL are essential for product managers working in data-driven environments. SQL allows PMs to pull their own insights and move quickly without relying on others. Python—especially when paired with Pandas—is also powerful for combining and analyzing datasets. Beyond that, understanding APIs, having a basic grasp of system architecture, and being familiar with low-code tools can make a huge difference when it comes to rapid prototyping and scoping out new ideas.

Confidence in Technical Skills Varies—and That’s More Than Okay!

Not every product manager is at the same technical level—and that’s perfectly fine. Some are deep into AI integrations and debugging tools, while others are just beginning to explore log analysis or cloud infrastructure. The important takeaway is that everyone is still learning. You don’t need to know everything—you just need the curiosity and willingness to explore what your current role and context demand.

‍

Looking Back, Earlier Exposure Helps—but Isn’t Required

Many PMs reflected on how helpful it would have been to learn tools like SQL or concepts like system design earlier in their careers. Not because these were strict requirements, but because they helped reduce friction and speed up decision-making. That said, it’s never too late to start—the benefits are real no matter when you pick up these skills.

‍

Being Technical Builds Trust with Engineering

A strong technical foundation doesn’t just help with your own work—it builds credibility with your engineering team. Understanding technical basics allows you to contribute meaningfully in discussions about feasibility, scope, and risk. Even if you're not writing the code yourself, having the context helps you collaborate more effectively and earn your team’s trust.

‍

Optional Tools for Today’s PMs: 

‍

These tools not only boost your technical fluency but also unlock new ways to deliver value faster. 

‍

Looking Ahead: What Skills Might Matter in 2–3 Years?

‍

The PMs we spoke to predicted that these skills will rise in importance:

But again: these are options—not mandates. Let your curiosity, role, and product goals guide where you invest your learning energy.

‍

A Different Kind of Growth

Want to grow technically without jumping into a bootcamp?

Here’s one suggestion: schedule 1:1s with engineers on your team—not to get answers, but to build relationships and ask why. Explore what they’re excited about. Learn how they think. Understanding their world builds empathy, fluency, and trust—all critical ingredients for product success.

‍

Final Thoughts

Your path into product management doesn’t need to look like anyone else’s.There are PMs out there who came from sales, from the arts, from QA, from engineering, from academia—and every one of them brings a unique lens.

So if you’re wondering, “Do I need to be technical to do this job well?”—know that the real answer is: it depends on the job... so continue being curious, communicative, and aligned with your product’s needs.

Technical skills can help, but they’re not the only way in.

Lean in, if it excites you. And if it doesn’t? That’s fine too. Either way—you belong here.

‍