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Senior Data Product Manager
·Israel
Not specifiedFull-timeProduct ManagementeCommerceRetailAdTechSaaS
Join a leading digital intelligence platform to drive the data strategy behind retail intelligence products. You will own the datasets, pipelines, and methodologies that power eCommerce analytics, helping top brands and retailers make data-driven decisions. This role combines data infrastructure ownership with customer value delivery, working with cross-functional teams to integrate AI and ensure data quality at scale.
Responsibilities
- Own the vision, roadmap, and delivery of datasets underpinning retail intelligence, including eCommerce traffic, conversion data, product-level insights, and category benchmarks.
- Lead AI integration into internal processes and core features to accelerate customer decisions.
- Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
- Lead modularization of data structures to enable scalability and continuous improvement.
- Stay close to customers and the market through ongoing research and interviews.
- Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.
Requirements
- 5+ years of experience in data product management or as a technical product manager in a big data environment.
- Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
- Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
- Entrepreneurial mindset: proactive, effective in ambiguity, moving quickly from insight to execution.
- Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
- AI fluency: understand how to embed AI into products and internal workflows (from prototyping through production evaluation).
- Excellent communication and stakeholder alignment across product, sales, and marketing.
- Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
- High learning agility, adaptable in a fast-changing data and AI landscape.
- Technical background (CS, Engineering, or equivalent practical experience).
Nice to have
- Experience in fast-moving startup environments or 'startup within an enterprise.'
- Built data products: metrics, pipelines, data QA, and insight generation.
- Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
- eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.
Benefits
- Work with a powerful digital intelligence platform loved by employees and customers.
- Encouragement of big ideas with resources to take initiative and create meaningful change.
- Competitive compensation packages and emphasis on community with regular team outings and happy hours.
- Career growth opportunities in any direction, with personalized coaching and ongoing learning solutions.
- Commitment to diversity and inclusivity, fostering a workplace where everyone can be their authentic selves.