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

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.
Build an edge: Track the programmatic market, new ad formats and industry standards to strengthen competitive advantage.

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

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.