Required Director R&D, Shopper Intelligence
Tel Aviv, Israel
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 our 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.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day
We’re looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, you’ll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, you’ll shape the technical roadmap for NLP and Speech at Riverside, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. You’ll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Were looking for a Product Manager to lead LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.

As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.

Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?
Define the product vision and roadmap for LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning.
Structure from conversational and behavioral data.
Drive adoption of LLM capabilities across by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

We are looking for a passionate Computer Vision Software Team Leader who is excited to create, shape, and influence our products and company vision. As a Team Leader, youll deliver scalable, high-quality infrastructure that integrates AI models with complex application needs.
You will build fast, reliable, and efficient solutions on edge devices, as well as machine learning cloud-based systems and pipelines.
You will tackle technological challenges in performance and data scale, and uphold high standards for code quality and architecture.
Youll need both low-level and high-level expertise to address performance and AI challenges, while delivering robust features and infrastructure. You will continuously improve development processes, adopt new technologies, and help shape the future of retail through world-class AI solutions.
About The Role:
Lead the teams day-to-day activities, effectively managing priorities and navigating technical and organizational challenges.
Plan and coordinate work based on business goals estimate effort, set realistic timelines, and ensure timely delivery of high-quality results.
Design, develop, and deliver the next generation of features for our AI-driven solutions.
Conduct code and design reviews, evaluate implementations, and provide clear, constructive technical feedback.
Build and grow a high-performing team recruit, coach, mentor, and empower engineers to reach their full potential.
Collaborate cross-functionally with other teams to define and deliver features and initiatives that span across departments.
Foster a strong engineering culture by promoting best practices, high standards, and continuous improvement.

Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.
As a hands-on team lead, youll shape the technical roadmap for NLP and Speech, identifying key opportunities to invest in foundational technologies and grow the team through strategic hiring and mentorship. Youll work cross-functionally with product, engineering, and design partners to ensure that advanced research translates into robust, scalable features that define the future of AI-assisted content creation.

Were looking for a Director of Engineering to join our growing R&D leadership team, reporting to the VP of Engineering. In this role, you will take end-to-end ownership of strategic product lines, drive innovation at scale, and lead multiple engineering teams working on our core domain. You'll work closely with cross-functional stakeholders to ensure we build cutting-edge, data-driven, customer-facing applications that create meaningful impact for Fortune 100 companies. Our ideal candidate is business-oriented, highly technical, and passionate about building high-performing teams and scalable systems that solve real-world problems.
What youll do:
Lead and grow multiple engineering teams across regions, focusing on our core domain and strategic product lines
Solve complex software problems with a data-driven and customer-centric mindset
Collaborate closely with Product Managers to align priorities and drive business outcomes
Build for scale, ensuring our systems and teams can support growing customer demand and evolving use cases
Foster a high-performing, motivated, and collaborative engineering culture
Define and track KPIs that reflect team health, quality, and delivery
Engage directly with customers to deeply understand their challenges and align solutions accordingly
Partner with distributed teams across Israel, Portugal, Ukraine, Poland, and India to deliver consistent value.

Build Scalable Solutions: Lead the design and development of robust, scalable systems using a mix of cutting-edge languages, frameworks, and technologies, while maintaining a strong focus on quality and performance.
Customer-Centric Development: Collaborate with customers and stakeholders to understand their needs, ensuring the team delivers high-value solutions aligned with our mission.
Cross-Functional Collaboration: Work closely with cross-disciplinary teams, including DevOps, data engineering, and product management, to align on priorities and drive company-wide initiatives.
Foster Growth: Cultivate an environment where team members are empowered to innovate, take ownership, and expand their skill sets.

Were looking for a Tech Lead to join our dynamic Engineering team and take end-to-end ownership of the Candidate AI service at myInterview. In this role, you'll drive the daily operations, technical vision, and innovation of AI-powered applications that redefine how candidates engage with our platform.


As the bridge between Engineering and Data Science, youll lead architectural decisions, champion best practices, and ensure our AI services are secure, scalable, and cutting-edge.

What You'll Do:

AI & Technical Leadership:

Lead the design and implementation of intelligent, LLM-powered agents integrated into user-facing applications.

Define architecture and best practices for model serving, memory/persistence, and orchestration of multi-turn agent interactions.

Collaborate closely with Data Science and Engineering teams to align priorities and deliver innovative AI solutions.

Continuously evaluate emerging AI/LLM capabilities (e.g., function calling, RAG, tool usage) and assess real-world applicability.

Drive performance, reliability, and secure development through code reviews, experimentation, and CI/CD process oversight.


Strategic Planning & Operations:

Partner with Engineering Managers (EMs) and Product Owners (POs) to contribute to technical roadmap planning and risk mitigation.

Monitor team spending and evaluate the financial impact of technical decisions.

Coordinate operational tasks like planned maintenance and incident management in alignment with company policies.


Architecture & Quality Management:

Own the technical vision of your services portfolio, ensuring alignment with our architecture standards and evolving business needs.

Lead incident response efforts and assess the impact of proposed changes within your domain.

Ensure infrastructure and deployments align with AWS best practices and our policies.


People & Resource Leadership:

Conduct regular 1:1s, provide mentorship, and ensure your team has the knowledge, tools, and resources to succeed.

Support onboarding of new team members and foster a high-performance culture of collaboration and innovation.


Compliance, Security & Documentation:

Develop software in line with our development and hosting standards.

Track and report deviations, technical debt, and security issues as required.

Maintain up-to-date documentation covering domain design, architecture, and operating procedures.