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Building Product at the edge of AI and work: meet Colin Tierney

People & Culture
Blogpost
Meet Colin Tierney, Director of Product at TechWolf. Colin’s path into Product started where many great product journeys do: close to the customer.
Contents
Eniko Toth-Bagi
May 28, 2026
3 min read

Meet Colin Tierney, Director of Product at TechWolf. Colin’s path into Product started where many great product journeys do: close to the customer.

From healthcare to workforce intelligence

Early in his career, Colin worked in customer success and implementation at a healthcare technology company, spending time in hospitals and on calls with users to understand their world. That curiosity - why are things built this way, and how can they be better? - naturally led him into Product.

After an MBA at Oxford, he joined a pharmaceutical supply chain startup in London, growing from Head of Product to Chief Product Officer while working with some of the world’s largest pharma companies.

TechWolf came next - and it was a combination of timing, ambition, and people that made the decision clear.

“What stood out immediately was the clarity of vision and the ambition of the team. Visiting Ghent and meeting everyone sealed it - there’s something genuinely special about the culture here.”

What Product looks like at TechWolf

At TechWolf, Product sits right at the centre of how we create value.

Some Product Managers focus on customer use cases - like workforce planning, upskilling, or AI readiness - figuring out how our intelligence can drive real impact in those areas.

Others focus on partner ecosystems, working closely with platforms across the HCM space to embed TechWolf where users already work.

Across both, the principle is the same: set ambitious goals and give Product Managers the autonomy to figure out how to get there.

"It requires real judgment," Colin explains. "But that's also what makes it rewarding."

Deeply partnered, not just Product-led

One of the team’s biggest priorities? Becoming truly partner-first.

TechWolf acts as a foundational data layer, meaning its impact depends on how well it connects into the broader ecosystem: from talent and hiring to learning and workforce planning tools.

At the same time, there’s a strong push toward deep customer discovery.

"We want to be the product team that customers feel genuinely partnered with, not just sold to."

That means spending real time with customers and end users, understanding their challenges, and shaping solutions together.

The AI moment (and what it changes)

“This is probably the most exciting moment of my product career,” Colin says.

AI is rapidly changing both what we build and how we build it.

At TechWolf, it’s enabling:

  • Faster prototyping and experimentation
  • New, agentic product experiences
  • More time spent on the highest-value work: understanding customers and solving the right problems

But it also raises the bar.

"You can build faster than ever but if you’re solving the wrong problem, you’re just scaling the mistake."

That’s why fundamentals like problem clarity, prioritisation, and user understanding matter more than ever.

How Product teams work together

Collaboration is constant and increasingly powered by AI.

Signals from customers, the market, and internal teams are continuously captured and explored. From there, Product Managers come together in workshops to:

  • Turn ideas into rapid prototypes
  • Test them with customers
  • Work closely with engineers to bring them to life

There’s also strong cross-team collaboration. Workflow-focused Product Managers, who own customer use cases, work hand in hand with partner-focused PMs, who own platform integrations.

“That cross-pollination keeps everyone grounded in how the product actually lands in the real world,” Colin shares.

What makes a great Product Manager here

Two profiles tend to thrive at TechWolf:

  • The strong generalist: someone comfortable across discovery and delivery, equally at ease with customers and engineers
  • The HCM-literate Product Manager: someone who understands the HR tech ecosystem and how enterprise organisations operate

Both share a desire to work on hard problems that genuinely matter.

Why now is the moment to join

TechWolf is entering a new phase: expanding its product, deepening its partnerships, and building the team that will shape what comes next.

"If you want to work on how the world’s largest organisations grow and retain talent - using cutting-edge technology - there aren’t many places like this right now."

For Colin, what makes TechWolf stand out is the combination of mission, team, and timing.

"There’s real space for Product to influence how customers think about workforce transformation - and to build things that genuinely make a difference."

Interested in joining the Product team at TechWolf?

Explore our open product roles →

Building Product at the edge of AI and work: meet Colin Tierney

Eniko Toth-Bagi
May 28, 2026
3 min read
Colin Tierney, TechWolf Director of Product, in a working session with the Product team in Ghent.
Contents

Meet Colin Tierney, Director of Product at TechWolf. Colin’s path into Product started where many great product journeys do: close to the customer.

From healthcare to workforce intelligence

Early in his career, Colin worked in customer success and implementation at a healthcare technology company, spending time in hospitals and on calls with users to understand their world. That curiosity - why are things built this way, and how can they be better? - naturally led him into Product.

After an MBA at Oxford, he joined a pharmaceutical supply chain startup in London, growing from Head of Product to Chief Product Officer while working with some of the world’s largest pharma companies.

TechWolf came next - and it was a combination of timing, ambition, and people that made the decision clear.

“What stood out immediately was the clarity of vision and the ambition of the team. Visiting Ghent and meeting everyone sealed it - there’s something genuinely special about the culture here.”

What Product looks like at TechWolf

At TechWolf, Product sits right at the centre of how we create value.

Some Product Managers focus on customer use cases - like workforce planning, upskilling, or AI readiness - figuring out how our intelligence can drive real impact in those areas.

Others focus on partner ecosystems, working closely with platforms across the HCM space to embed TechWolf where users already work.

Across both, the principle is the same: set ambitious goals and give Product Managers the autonomy to figure out how to get there.

"It requires real judgment," Colin explains. "But that's also what makes it rewarding."

Deeply partnered, not just Product-led

One of the team’s biggest priorities? Becoming truly partner-first.

TechWolf acts as a foundational data layer, meaning its impact depends on how well it connects into the broader ecosystem: from talent and hiring to learning and workforce planning tools.

At the same time, there’s a strong push toward deep customer discovery.

"We want to be the product team that customers feel genuinely partnered with, not just sold to."

That means spending real time with customers and end users, understanding their challenges, and shaping solutions together.

The AI moment (and what it changes)

“This is probably the most exciting moment of my product career,” Colin says.

AI is rapidly changing both what we build and how we build it.

At TechWolf, it’s enabling:

  • Faster prototyping and experimentation
  • New, agentic product experiences
  • More time spent on the highest-value work: understanding customers and solving the right problems

But it also raises the bar.

"You can build faster than ever but if you’re solving the wrong problem, you’re just scaling the mistake."

That’s why fundamentals like problem clarity, prioritisation, and user understanding matter more than ever.

How Product teams work together

Collaboration is constant and increasingly powered by AI.

Signals from customers, the market, and internal teams are continuously captured and explored. From there, Product Managers come together in workshops to:

  • Turn ideas into rapid prototypes
  • Test them with customers
  • Work closely with engineers to bring them to life

There’s also strong cross-team collaboration. Workflow-focused Product Managers, who own customer use cases, work hand in hand with partner-focused PMs, who own platform integrations.

“That cross-pollination keeps everyone grounded in how the product actually lands in the real world,” Colin shares.

What makes a great Product Manager here

Two profiles tend to thrive at TechWolf:

  • The strong generalist: someone comfortable across discovery and delivery, equally at ease with customers and engineers
  • The HCM-literate Product Manager: someone who understands the HR tech ecosystem and how enterprise organisations operate

Both share a desire to work on hard problems that genuinely matter.

Why now is the moment to join

TechWolf is entering a new phase: expanding its product, deepening its partnerships, and building the team that will shape what comes next.

"If you want to work on how the world’s largest organisations grow and retain talent - using cutting-edge technology - there aren’t many places like this right now."

For Colin, what makes TechWolf stand out is the combination of mission, team, and timing.

"There’s real space for Product to influence how customers think about workforce transformation - and to build things that genuinely make a difference."

Interested in joining the Product team at TechWolf?

Explore our open product roles →

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Using AI while interviewing at Techwolf

At TechWolf, we see generative AI as part of the modern toolkit — and we expect candidates to treat it that way too. We love it when people use AI to take their thinking to the next level, rather than to replace it.You are welcome to use tools like ChatGPT, Claude, or others during our interview process, especially in take-home assignments or technical exercises. We encourage you to bring your full toolkit — and that includes AI — as long as it reflects your own thinking, decisions and creativity.We don’t see AI as replacing your skills. Instead, we’re interested in how you use it: to brainstorm ideas, speed up iteration, validate your thinking, or unlock new ways of approaching a challenge. Great candidates show judgment in when to rely on AI, how to adapt its output, and where to go beyond it.

What we’re looking for:

Our interviews are designed to understand how you think, solve problems, and express ideas. Using AI in a way that amplifies those things — not masks them — is encouraged.

What to avoid:

We ask that you don’t submit AI-generated work without review, or present answers that you can’t fully explain. We’re not testing the model — we’re getting to know you, your skills, and your potential. If there are cases where we don’t want you to use AI for something, we’ll tell you ahead of the interview being booked.In short: use AI as you would on the job — as a smart assistant, not a stand-in.

Example: Programming with AI

In a coding challenge, you’re welcome to use generative AI to support your workflow — just like you might in a real development environment. For instance, you might use AI to quickly generate boilerplate code, look up syntax, or get a first-pass solution that you then adapt and debug collaboratively. What we’re interested in is your ability to reason through trade-offs, communicate clearly, think about complexity and iterate effectively — not whether you memorized the syntax perfectly. If using AI helps you stay in flow and focus on higher-level problem-solving, we consider that a strength. There could be some challenges where we won’t allow you to use AI - in that case we’ll tell you in advance, and will tell you why.

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