Director of Product Analytics

Responsibilities

• Product Analytics Strategy & Foundations
  • Structure complex and ambiguous problems into projects where data requires disambiguation.
  • Own project delivery end‑to‑end, including roadmap planning and resource management.
  • Drive new analytical approaches and statistical techniques to justify result validity.
  • Act as Product Owner of analytics tools and data assets, overseeing interfaces, schedulers, and reporting systems.
• Partnering & Influence
  • Lead large meetings with senior management focused on key decisions.
  • Arbitrate conflicts within projects and across functions, ensuring alignment.
  • Manage sensitive situations and relationships without damaging delivery.
  • Proactively launch and support new business‑wide projects, identifying opportunities beyond immediate requests.
• Metrics, Experimentation & Insights
  • Lead hypothesis generation to create high‑quality, MECE hypothesis trees.
  • Ensure analyses are grounded in reality while anticipating and resolving roadblocks.
  • Select methods, techniques, and evaluation criteria to distinguish correlation from causation in real‑time environments.
• Team Building & Scale
  • Hire, retain, and motivate strong analysts and managers; create an enthusiastic, committed atmosphere.
  • Mentor team members on best practices and develop skills across analytics functions.
  • Own knowledge management; drive knowledge‑sharing initiatives.
  • Contribute to organizational development, skill sets, and training plans.

Qualifications

• Deep understanding of technology, products, and business environments, preferably in AdTech.
• Proven ability to influence and change thinking of others in cross‑functional environments.
• Experience presenting work orally and in writing in a clear, synthetic way with actionable next steps to senior management.
• Adapt communication to audience, bridging technical data and business strategy.
• Strong statistical foundations and ability to develop new statistical techniques for experimentation and causal reasoning.
• Experience in planning and organizing team missions and evolutions, including resourcing.
• High proficiency in SQL and data exploration, capable of structuring complex ambiguous problems.

Benefits

• Equity – Employee Stock Ownership Plan.
• Variable pay – based on objectives achieved; no arbitrary targets.
• Hybrid flexibility – location‑based role in Paris with remote options.
• Health insurance – full coverage via Alan.
• Meal vouchers – via Swile.
• Annual offsite – team offsite once a year at a meaningful location.
• Tech Syncs – Engineering and Product meet in person at least quarterly.

Equal Opportunity Employer. Vibe evaluates all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other protected characteristic. Reasonable accommodations are available during application and interview process.