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At Similarweb, we empower the worlds leading brands to win online. Our digital intelligence solutions offer unmatched visibility into the online world, enabling smarter, faster growth. A key part of this mission is the Shopper Intelligence solutionhelping eCommerce leaders unlock insights into digital shelf dynamics, pricing strategies, and shopper behavior across marketplaces and retailers.

About the Role
As the R&D Director of Shopper Intelligence, youll lead a fast-scaling, multidisciplinary product group with startup energy and enterprise impact. Youll own the technical and organizational direction of the team, guiding multiple squads of engineers and data scientists building one of Similarwebs most strategic offerings.

You will oversee the development of full-stack platforms and advanced ML models, working closely with Product, Design, Business, and Go-To-Market (GTM) teams to shape and execute a bold vision for Shopper Intelligence.

What Youll Do
Leadership & Strategy
Define and drive the technical vision, structure, and roadmap for the Shopper Intelligence R&D group.

Lead multiple cross-functional teams composed of full-stack engineers, data engineers, and data scientists.

Serve as a key stakeholder in product, engineering, and business planningowning both delivery and innovation.

Product & Engineering Delivery
Collaborate deeply with Product, Business, and GTM stakeholders to co-own product vision and long-term strategy.

Oversee the design and development of web-based applications using React and TypeScript, with strong focus on user experience and performance.

Lead backend development with Node.js, NestJS, and microservice architecture supporting scalable APIs and data flows.

Guide implementation of robust Python-based data pipelines and microservices using orchestration tools like Airflow and data processing frameworks like Spark.

Ensure world-class engineering practices around CI/CD, monitoring, testing, and DevOps using Kubernetes, Docker, GitHub Actions, and Terraform on AWS.

Data & AI Innovation
Manage teams developing advanced machine learning models across domains such as signal processing, inference, and LLM-based architectures (e.g., transformers, RAG).

Oversee data science workflows from exploration and analysis to model training, validation, deployment, and monitoring.

Leverage and extend high-scale analytical environments built on SQL, Firebolt, Snowflake, and real-time data engines.

Support the development of AI-powered features that deliver intuitive, decision-ready insights to our customers.

Team Management & Culture
Build, coach, and scale teams of highly capable tech leads, senior engineers, and data scientists.

Establish a strong engineering culture focused on innovation, quality, ownership, and continuous learning.

Partner across functions to ensure alignment between technical capabilities and product/market strategy.