# Senior Data Product Manager- Retail Intelligence [Similarweb](https://gurify.com/jobs?q=Similarweb) · Tel Aviv, Israel · Posted 8 months ago Senior [Product Manager](https://gurify.com/jobs/product-manager) [Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/similarweb/jobs/7508300) ## Job description Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas. We help our customers succeed in today’s digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since! We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product. Why is this role so important at Similarweb? We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, Similarweb's eCommerce analytics 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. What you’ll experience on this team? - Work with top talent across data, engineering and product teams. - Ship AI-powered capabilities iteratively, improving with every release. - Work with latest technology in an ever-evolving work environment - Operate with a startup mindset: move fast, think big, and build long-term value for customers. - Have direct impact on how customers make business decisions ### What you’ll do as a Senior Data Product Manager? - 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. ### What will you bring to the team? - 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. Education: Technical background (CS, Engineering, or equivalent practical experience) ### Strong advantages: - 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. ### Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here. **Live in Similarweb’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. 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