Вакансии: Управление — Израиль

Lead the development of generative AI and autonomous capabilities for an enterprise cybersecurity platform. Own products from ideation through rollout while working with research, engineering, design, sales, and marketing teams.

Lead the development and success of broadband solutions, connecting customer and market needs with technical execution. Partner with engineering, marketing, sales, logistics, operations, and supply chain teams from concept through launch while managing delivery, quality, and product performance.

Lead end-to-end performance strategy, research, characterization, testing, and optimization for large-scale AI GPU clusters, networking systems, and data center solutions.

Manage projects from the initial sales phase through completion, coordinating clients, internal stakeholders, and operational activities.

Own an end-to-end product pillar for an AI-powered developer platform. Lead discovery, strategy, experience design, delivery, launch, and measurable adoption in collaboration with engineering, design, marketing, sales, and customer success.

Lead end-to-end, multi-million-dollar defense programs covering development, production, customer coordination, aircraft installation, and system qualification.

Manage defense programs involving aircraft-protection flares and pyrotechnic systems, from initial customer engagement and bids through delivery and ongoing service. Own technical, financial, quality, schedule, profitability, compliance, and customer-satisfaction objectives while coordinating cross-

Manage aircraft maintenance projects from planning through execution and quality control, coordinating cross-functional teams, customers, and external suppliers.

Lead and develop a software engineering team responsible for a large-scale data platform supporting reporting, billing, experimentation, machine learning training, and revenue optimization. Define technical direction, architecture, and roadmap while remaining hands-on with technical reviews and data

Own the quality, performance, and effectiveness of a technical Support bot. Monitor interactions, define success metrics, identify improvement opportunities, and help expand automation across Support workflows.