Senior Data Product Manager- Retail Intelligence

Similarweb is the leading digital intelligence platform used by over 3500 global customers. We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product. This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.

Responsibilities

Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.; Lead AI integration into internal processes and core features that speed 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, and 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

Competitive compensation packages; Regular team outings and happy hours; Career Week, personalized coaching, ongoing learning solutions; Inclusive workplace committed to diversity