Senior Product Manager: Partner Recommendations & Ranking

Just Eat Takeaway.com

Watford

On-site

GBP 90,000 - 125,000

Full time

5 days ago
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Job summary

Just Eat Takeaway.com in the United Kingdom is seeking a Senior Product Manager to build customer-facing ranking and recommendation algorithms within the Customer department, with a focus on the Partner Recommendations product including homepage ranking and recommendations.

You will work with data scientists and engineers to translate requirements into effective ML-driven features, define KPIs, and lead data-driven product discovery, experimentation, and optimization across our platform.

Qualifications

  • Experience as a Product Manager in data-driven products (ranking/recommendations/search/personalization).
  • Strong analytical skills with data science or ML experience.
  • Ability to influence user behavior through data-driven decisions.

Responsibilities

  • Define vision, strategy, and roadmap for ranking and recommendation systems.
  • Analyze user behavior to identify improvements via data analysis and experimentation.
  • Collaborate with data scientists and engineers to translate requirements into algorithms.
  • Lead product discovery with user research and competitive analysis.
  • Define KPIs and measure success; identify optimization areas.
  • Design and run A/B tests to validate hypotheses.
  • Prioritize backlog and communicate plans to stakeholders.

Skills

Data-driven product
Ranking & recommendations
ML/data science
A/B testing
Cross-functional collaboration
Agile development
Data analysis tools

Job description

Just Eat Takeaway.com in the United Kingdom is seeking a Senior Product Manager to build customer-facing ranking and recommendation algorithms within the Customer department, with a focus on the Partner Recommendations product including homepage ranking and recommendations.

You will work with data scientists and engineers to translate requirements into effective ML-driven features, define KPIs, and lead data-driven product discovery, experimentation, and optimization across our platform.

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