# Machine Learning Product Manager — Leading Polish internet and media group

- **Empresa:** Leading Polish internet and media group
- **Área:** Engenharia
- **Modalidade:** Remoto
- **Contrata no Brasil:** Sim
- **Publicada em:** 2026-10-28
- **Candidatar-se:** https://jobs.techtree.dev/job/2d39cc9a-e2df-4151-9da7-2984a24ab23d
- **Página da vaga:** https://techtrampos.com.br/jobs/machine-learning-product-manager-at-leading-polish-internet-and-media-group

## Resumo em português

**O que você vai fazer:** Gerenciar o P&L e o roadmap do sistema de lances em tempo real, liderar a equipe de data science, traduzir metas de negócio em objetivos de modelos de ML e apresentar resultados ao conselho.

**O que precisa ter:** 5+ anos em produtos de ML (2+ em gestão), experiência liderando times de data science, grau em STEM, inglês C1 e polonês, conhecimento em estatística, A/B testing e métricas de modelos.

**Como contrata:** Contrato: não informado · Moeda: não informada · Fuso: não informado

## Descrição original

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.

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Vaga agregada pelo TechTrampos (https://techtrampos.com.br). A candidatura é feita no site de origem: https://jobs.techtree.dev/job/2d39cc9a-e2df-4151-9da7-2984a24ab23d