Mid-Level Product Manager – ML Scoring

• Proven product management experience in digital products 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 orchestrating requirements between Data Science and Engineering.
• Strong business acumen and experience in KPI-driven prioritization within e-commerce, advertising, or marketplace ecosystems.
• Demonstrated ability to manage stakeholders and maintain strategic alignment for Director-level audiences.
• Ability to use AI-assisted discovery and synthesis approaches in product workflows.
• Solid product management capability across discovery frameworks, roadmap planning, KPI definition, and backlog prioritization.
• Analytics literacy including SQL, experiment interpretation, and metric design for product outcomes.

Nice to have:

• Experience in AdTech or ranking/recommendation product domains.
• Experience managing products relying on experimentation platforms and A/B testing.
• Experience collaborating with platform teams on data and ML capability roadmaps.
• Familiarity with auction-driven monetization constraints and trade-offs.

• Drive the end-to-end product lifecycle for ML scoring in the Sponsored Offers area, from problem framing to delivery of measurable business outcomes.
• Orchestrate discovery and delivery processes for ML scoring capabilities, ensuring continuous alignment with engineering and business stakeholders.
• Optimize the roadmap balancing business value, usability, technical feasibility, and user viability.
• Define clear problem statements and translate them into measurable product outcomes.
• Translate requirements across Data Science and Engineering streams to ensure practical ML scoring solutions.
• Lead KPI-driven prioritization to support medium-term strategic objectives (6–12 months).
• Manage stakeholders effectively, providing strategic visibility and alignment for Director-level and cross-functional groups.
• Apply AI-assisted discovery and synthesis methods to improve product decision-making quality and speed.

Only candidates with an existing legal right to work in the European Union will be considered for this role.