Senior Data Product Manager (Retail Intelligence)

TL;DR

Senior Data Product Manager (Retail Intelligence): Driving the strategy, architecture, and execution of datasets powering the eCommerce analytics product suite with an accent on data infrastructure and customer value. Focus on leading AI integration, establishing data quality frameworks, and scaling data structures for high-impact business decisions.

Location: Tel Aviv, Israel

Company

Leading digital intelligence platform used by over 3500 global customers to power digital strategies through data-driven insights.

What you will do

• Own the vision, roadmap, and delivery of datasets underpinning Retail Intelligence, including eCommerce traffic and category benchmarks.
• Lead AI integration into internal processes and core features to accelerate customer decision-making.
• Define and track data quality metrics and establish validation, logging, and governance frameworks.
• Lead modularization of data structures to enable scalability and continuous improvement.
• Conduct ongoing research and customer interviews to align the product with market needs.
• Partner with engineering, data science, design, sales, and marketing to deliver and drive product adoption.

Requirements

• 5+ years of experience in data product management or as a technical PM in big data environments.
• Hands-on experience with large-scale data collection, classification, curation, and delivery systems.
• Proven track record of leading cross-functional data initiatives with engineering, data science, and analytics teams.
• AI fluency with the ability to embed AI into products and internal workflows from prototyping to production.
• Technical background in Computer Science, Engineering, or equivalent practical experience.
• Strong data-driven judgment for defining metrics, analyzing customer data, and making clear tradeoffs.

Nice to have

• Experience in fast-moving startup environments.
• Experience building data products, including metrics, pipelines, and data QA.
• Experience shipping AI features such as recommendations, forecasting, or AI agents.
• Domain experience in eCommerce or marketplaces, including digital shelf and conversion funnels.

Culture & Benefits

• Competitive compensation packages and a strong emphasis on employee well-being.
• Culture of open dialogue and empowerment to initiate and create meaningful change.
• Extensive career growth opportunities with personalized coaching and learning solutions.
• Inclusive workplace committed to diversity across race, gender, ethnicity, and culture.
• Community-focused environment with regular team outings and happy hours.