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 document methodology narratives, assumptions, limitations and appropriate use cases.

 

Cross-Functional Leadership

• Serve as the product voice for data across R&D
• Align data engineers, data scientists, analysts and product and business teams around shared data strategy.
• Bridge between domain-specific product teams and core data platform 
• Define data SLAs, fallback strategies, enrichment logic and quality threshold with data consumers.
• Partner with product marketing, sales and customer success to support launch and customer facing methodologies discussions.
  
  

Execution & Optimization

• Write clear detailed product specs that include data definitions, entity mapping, edge cases handling and downstream consumption logic.
• Work hands-on with Databricks, Spark, SQL, and Python to analyze datasets, test logic, or collaborate on experiments.
• Identify data gaps, anomalies, misclassifications, and inconsistencies and resolve lead efforts to resolve them in systematic productized ways.
• Design dataset versioning, historical tracking, backfills and controlled evolution over time.
  
  

What You Bring

Experience

• 5+ years of experience in data product management or equivalent technical product roles or solutions architect in a big data environment.
• Proven track record in owning large-scale data systems and leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
• Experience delivering data products for both revenue-generating and platform-scale contexts.
• Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
• Experience driving data modeling, transformation, classification and delivering complex entity relationships and high-quality standards.
• Practical exposure to AI/ML productization in partnering with data science teams.
  
  

Skills and Working Style

• Strong analytical and systems-thinking mindset with the ability to reason about complex data flows.
• Ability to define validation frameworks, QA rules, and performance metrics for structured and semi-structured data.
• Clear and confident communicator who can translate technical complexity into business-relevant narratives.
• Comfort operating in ambiguity and using structures, experimentation and logic to drive decisions.
  
  

Analytics, Measurement, and Web Fluency

• Familiarity with digital analytics platforms such as Google Analytics and Google Search Console.
• Working knowledge of major performance marketing platforms and attribution models. Understanding of funnel measurement, privacy-driven data loss, and discrepancies between measurement systems.
• Working knowledge of modern web tracking technologies, including cookies, client-side and server-side tracking, and tagging frameworks.
• Understanding of browser and platform privacy constraints and their impact on data availability and bias

Technical Fluency

• Comfortable querying large datasets and working alongside large scale data pipelines.
• Familiarity with Python, Spark, Airflow, and cloud data environments (e.g., Databricks, S3, Snowflake) is a strong plus.
• Understanding of AI/ML lifecycle, including model inputs, inference pipelines, and continuous data feedback loops.
  
  

 

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.

Influence foundational data assets used by thousands of customers globally.

Collaborative culture that values rigor, curiosity and impact

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.