Technical Product Manager (AI Services team)

To be successful in this role you need the following:

Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice.

You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands.

You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them.

You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product…

You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience.

Experience that helps:

We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about:

You've worked on platform or backend products that serve multiple teams or product surfaces. You understand the difference between shipping a feature once and building a capability others will depend on every day.

You can discuss prompt engineering, model behavior, evaluations, and operational tradeoffs without hand-waving. You know that AI quality is not just about picking a model; it's about system design, guardrails, iteration, and measurement.

You've worked with APIs, service architecture, observability, permissions, rate limits, or other platform concerns that determine whether a technical product is reliable at scale.

Why join CKSource:

Flexible schedule and the possibility to work fully remotely.

Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly).

LinkedIn Learning access.

Extra leave for Tiugo Day – our company’s foundation day and your birthday.

English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German.

Help shape the product vision and roadmap for our features.

Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now.

Collaborate with engineering teams to translate business needs into technical requirements.

Manage the product lifecycle from conception through release.

Define and track product requirements, and ensure delivery of high-quality and scalable solutions.

Coordinate with sales, marketing, and support teams to maximize product success.

Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice.

You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands.

You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them.

You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product…

You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience.

You've worked on platform or backend products that serve multiple teams or product surfaces. You understand the difference between shipping a feature once and building a capability others will depend on every day.

You can discuss prompt engineering, model behavior, evaluations, and operational tradeoffs without hand-waving. You know that AI quality is not just about picking a model; it's about system design, guardrails, iteration, and measurement.