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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.

As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.

Check Point Software Technologies has been honored by Time Magazine as one of the Worlds Best Companies for 2024. We've also earned a spot on the Forbes list of the Worlds Best Places to Work for five consecutive years (2020-2024) and recognized as one of the Worlds Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.

Check Point Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.

By joining our management team as the R&D director, you will take full responsibility of the email and collaboration product family R&D, manage a growing global team of over 50 professionals, and be at the top of technology for cloud SaaS high scale/high velocity AI/ML based security solutions, serving tens of thousands of global enterprise customers.

If you want to make a real global impact, making the world a safer place join us!

Key Responsibilities
Product Development:
Oversee the design, development, maintenance and deployment of cutting-edge cloud based email security products and features, serving tens of thousands of global enterprise customers.
Ensure products meet market needs and regulatory requirements while maintaining the highest security and coding standards.
Ensure products are developed in the most cost effective manner, deployed over multiple regions utilizing cutting edge cloud infrastructure and technologies.
Ensure products are robust, built to scale and support dynamic architecture changes for fast growing changing environments.
Ensure product is fully monitored at the highest level 24/7 by actively implementing a reliable monitoring system across multiple domains and regions.
Team Management:
Lead, mentor, and develop a growing high-performing R&D team of over 50 high skill professionals, across the globe. including group and team leaders, software engineers, data scientists, and cybersecurity experts.
Foster collaboration and cross-functional integration between R&D, product management, customer success, and other departments.
Manage our R&D team building. Recruit and support extending our R&D ever growing team to catch up with product growth.
Monitor and report on R&D performance metrics and project progress to the executive team.
Research & Innovation:
Drive research initiatives to explore new technologies, threats, and opportunities in cloud, AI/ML and email security.
Maintain a strong understanding of industry trends, emerging threats, and competitive landscape.
Drive innovation through threat modeling, prototyping, and validating emerging technologies.
Quality Assurance:
Ensure rigorous testing and validation processes to guarantee the reliability, performance, and security of products.
Implement best practices for software development and quality assurance utilizing advanced automation technologies.
Implement full system monitroing to assure production top availability and performance.