סניור Data מנהל מוצר, Core Data

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.  Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. About the Role We’re looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data products that power Similarweb. This role is at the core of our data innovation engine, serving multiple business units and platform products across the company. You will lead cross-functional efforts to define, experiment, deliver, and scale data assets that are foundational to the Similarweb products and its market differentiation. This role offers a unique opportunity to lead high-scale, high-impact data products by collaborating with various R&D data teams, product, and business stakeholders to architect modular, trusted, large scale and intelligent data systems.  We're looking for a true data enthusiast: someone passionate about translating business needs into data solutions, experimenting with data, building strong relationships, shaping methodologies and processes for various data sets, and owning complex data initiatives from end to end. This role will report to the Director of Product Management, Core CI. What You’ll Do Data Product Ownership • Own the vision, roadmap, and execution of foundational datasets and delivered metrics that underpin platform functionality, decisioning systems and customer-facing features. • Define success criteria for data products, including coverage, accuracy, freshness, stability, explainability and cost-to-serve. • Lead the design and evolution of scalable, modular data structures and models to provide easier ownership distribution, large coverage and data quality improvements. • Introduce and maintain data quality frameworks including validation rules, monitoring, logging, alerting and governance mechanisms. • Design, evaluate and iterate on core metrics for specific marketing acquisitions channels, cross channels performance and market benchmarks Experimentation, Prototyping and Validation • Prototype new metrics, datasets and methodologies using different frameworks and languages to create fast proof of concepts. • Experiment with new internal and external data sources and define a clear path for productization. • Define validation strategies including backtesting, triangulation against analytics benchmarks, stability analysis and anomaly detection. • Own and...