Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, youll lead and scale a group of teams responsible for the heart of AI platform, including our AI team, Chat AI product team, and Incubation team. A major focus of this role is to lead and grow the Data Science team, including machine learning research, ML model development, and MLOps practices to ensure production-ready, scalable, and reliable AI solutions.
You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI and voice solutions, and building a strong, high-performing engineering organization. This role reports to the CPTO.
Responsibilities
Lead, scale, and mentor an engineering group of 15-20 engineers, delivering complex, AI-driven products at scale.
Manage two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
Collaborate deeply with Product Managers to define and execute the roadmap for core AI engine and chat experiences.
Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within .
Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.
Requirements: 8+ years of experience in Engineering, and at least 3 years as a Group Manager or similar role.
Proven track record of managing at scale in high-growth companies.
Deep technical rooting with the ability to lead architecture reviews and stay close to the technology without necessarily coding daily.
Experience designing and operating large systems with an emphasis on scalability, high availability, and performance.
Deep expertise in Data Science, Machine Learning, and MLOps, including model development, deployment, and monitoring.
Strong familiarity with Python, Node.js, and cloud services (AWS/Azure/GCP).
Experience designing, building, and operating large systems with emphasis on scalability, high availability, comprehensive testing, and performance optimization.
Experience building virtual assistants or SaaS products - an advantage.
Strong interpersonal and communication skills with proficient English.
This position is open to all candidates.