Current offer · 2026-08-28
Project description
Drive the product lifecycle for ML scoring in the Sponsored Offers area (AdTech), from initial problem framing to the delivery of measurable business outcomes. Orchestrate discovery and delivery processes, ensuring continuous alignment between Data Science, Engineering, and business stakeholders.
Key responsibilities
- Drive the product lifecycle for ML scoring in the Sponsored Offers area.
- Orchestrate discovery and delivery processes for ML capabilities, ensuring strategic alignment across engineering and business streams.
- Optimize product roadmaps balancing business value, usability, technical feasibility, and user viability.
- Define clear problem statements and measurable product outcomes.
- Manage Director-level and cross-functional stakeholder relations.
- Leverage AI-assisted discovery and synthesis methods in product workflows.
Required qualifications
- Proven product management experience in digital products and delivering medium-term strategic objectives (6-12 months).
- Expertise in defining clear problem statements and measurable product outcomes.
- Practical understanding of ML-enabled products, including requirement orchestration between Data Science and Engineering.
- Strong business acumen and KPI-driven prioritization in e-commerce, advertising, or marketplace domains.
- Demonstrated proficiency in Director-level stakeholder management.
- Proficiency in English (min. B2 level).
Nice to have
- Experience in AdTech, ranking, or recommendation product domains.
- Experience managing products relying on experimentation platforms and A/B testing.
- Collaboration with platform teams on data and ML capability roadmaps.
- Familiarity with auction-driven monetization constraints and trade-offs.
- Analytics skills: SQL literacy, experiment interpretation, metric design.
Language requirements
English (B2+ level)