Product Manager (AI-native)

🩷About us

PLG Group connects people with culture. In the Czech Republic and Slovakia we run Ticketportal (since 2002), GoOut (since 2011) and Ticketstream (since 2001). Across the group we operate in seven European countries with brands such as Piletilevi and Biletomat.
Every year we sell more than 15 million tickets, from small club nights to the biggest festivals, theatres and stadiums.
Our culture is open, creative and direct, with no bullshit.
Our product organization is centralized across all markets. We are building one ticketing platform for the whole group, and AI is part of how we build it: specs are our source of truth, and agents help us go from spec to shipped code.

💚Your role

We are building one ticketing platform for the whole group. Specs are our source of truth, and AI agents help turn them into shipped code.
We are looking for experienced product managers who already work AI-native. You will own a product area end to end: discovery, prioritization, specs, release and impact. AI is part of how you do the job every day. You use it to prototype in days instead of weeks, to analyze data and feedback, and to write specs that engineers and AI agents can build from.
This is a product management role. You make the product decisions and own the outcomes. Engineers and AI agents write the production code.

What you’ll do:

• Own a product area such as checkout and pricing, finance and settlement, seasons and sports, or the consumer marketplace
• Run discovery with fans, promoters, venues and internal teams across markets, and turn what you learn into clear decisions
• Prioritize ruthlessly: decide what to build, what to drop, and explain why
• Write precise specs that work as the source of truth for engineers and AI agents
• Prototype ideas with AI tools (Claude Code, Cursor, Lovable) and put them in front of users fast
• Dig into data and existing code to understand the current state before changing it
• Measure impact on conversion, adoption, reliability and revenue
• Help shape how a multi-market product team works with AI
  

What you bring:

• 4+ years as a Product Manager or Product Owner on customer-facing software, with measurable outcomes you can point to
• Proven ownership of product decisions: discovery, roadmap trade-offs, stakeholder alignment, launches
• Daily, hands-on AI use in your product work, with concrete examples of how it changed your output or speed
• Enough technical depth to read code, work with APIs and write basic SQL
• Clear, structured writing
• Fluent English
  

Nice to have:

• Marketplace, e-commerce, ticketing, events, payments, fintech background
• Complex B2B or transactional systems, or replacing a legacy system
• Startup or scale-up experience
• Multi-country products and teams
• A background in software engineering, data or design before product
• Czech, Slovak, Polish or a Baltic language

Not the right fit you are a developer, designer or analyst who has not yet owned product decisions and outcomes. We value those backgrounds, but this role needs proven product management experience first.

🩶Benefits & Why You’ll Love Working Here

• Hybrid work after the probation period – usually 3 days in the office, up to 2 days home office (we trust teams to agree on what works)
• All benefits below from day one for HPP employees
• Extra 5 days of annual leave
• MultiSport card – you pay 330 CZK, we cover the rest
• Edenred Flexi benefits for culture, leisure, health or education
• Meal vouchers – 124 CZK per working day, paid monthly with your salary
• FreshPoint fridge with yummy ready-to-eat meals for the better price
• Fully stocked kitchen – fruit, snacks, great coffee, toasties and plenty of alternative milks
• Modern office in the centre of Prague – right by the main train station, co-working spaces included, and yes… the rooftop with breathtaking sunset views of Prague Castle
• Free or discounted tickets to selected events on our platforms (we have a Slack channel for this!)
• Coursera Plus for learning and your growth
• Possibility of joining English classes
• Company MacBook
• Team life – monthly breakfasts, summer BBQs, offsites, sports, Xmas parties… and room for your ideas (seriously!)
• Open, no-bullshit communication and a high-trust culture

Recruitment process

1. CV in English, a short note on why you are interested, and 1 to 2 examples of product decisions you owned and how you used AI in them
2. Casual call with the People Team
3. Interview with the VP of Product
4. Case task: a short spec and an AI-assisted prototype for a real problem from the role’s area, presented to the hiring manager and an engineer
5. Meet the wider product and engineering team
6. Offer