Machine Learning Product Manager

The opportunity
Join one of Poland's largest digital media and technology groups and take product ownership of its machine-learning-driven real-time bidding system. The bidder prices every single ad impression in a fraction of a second for performance campaigns (ROAS, CPO, CPC, CPA) - across both the group's own properties and external inventory - handling millions of auctions per minute.
The role
As Machine Learning Product Manager, you'll connect the world of models with the bottom line. You'll own the product's P&L and roadmap, set development priorities, lead the data science team and co-author reporting for the Management Board.
What you'll do
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Own the numbers: Take responsibility for the product's financial results (revenue, margin, client ROAS) and its roadmap.
• Translate business into models: Turn business goals into measurable targets for bidding models and algorithms - calibration, margin, win rate, CPM.
• Lead the team: Manage a team of data scientists - priorities, development and quality of work.
• Keep ML healthy in production: Oversee the quality and stability of ML solutions in production - monitoring, incident response and root-cause analysis of performance drops.
• Report to the top: Present results, risks and recommendations to the Management Board and key stakeholders (sales, SSP partners, engineering teams).
• Align the ad stack: Work with the teams that co-build the group's advertising stack and agree priorities across them.
• Track the programmatic market, new ad formats and industry standards.

What you bring
• 5+ years of experience developing machine-learning-based products, including at least 2 years in a product or management role.
• Experience managing a data science or ML team.
• A university degree in a STEM field.
• A solid understanding of machine learning: probabilistic classification models, metrics (AUC, log loss, calibration), data and feature drift, offline vs. online evaluation.
• Strong statistics and experiment design skills: A/B testing and common interpretation pitfalls (mix effects, sampling, seasonality).
• Experience owning a P&L or being accountable for business results.
• Very good English (min. C1) and Polish.

Nice to have:
• A PhD in a STEM field, especially data science, statistics, computer science or physics.
• Experience with real-time bidding or ad tech: DSP, SSP, bid shading, floor pricing, pacing, conversion attribution.
• Experience in an international environment, including study or work abroad.
• Knowledge of production ML system architecture: feature stores, model serving.
• Experience with performance campaigns (e-commerce, ROAS).

How you work:
• You stay effective under time and revenue pressure, including during incidents that hit revenue.
• You communicate complex technical topics clearly and with data, including in Board-level reports.
• You think in margin, risk and ROI - not just model metrics.
• You lead expert teams by building trust, giving feedback and developing people.
• You think critically: you dig for root causes and test hypotheses.
• You work effectively with many stakeholders and negotiate priorities.
What we offer
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Ownership: Responsibility for one of the group's key advertising products, with real impact on financial results.
• Scale: Work with a mature data science and engineering team on a system handling millions of auctions per minute.
• Flexibility: Hybrid work from the Warsaw office.
Logistics
• Location: Warsaw, hybrid.
• Type: Full-time.
Recruitment process:
The process includes an introductory conversation, an interview focused on your experience and role-related expertise, and a discussion of the role and next steps.