לוח משרות דרושים VP R&D בשרון

Lead a large-scale engineering organization in the Data & AI domain, define the technological strategy, manage global multiple teams and managers, and drive the delivery and innovation of advanced AI-powered solutions and data platforms.

What will your job look like?
Lead a multi-disciplinary engineering group including software engineers, data engineers, ML engineers, and team managers, while shaping the long-term technological and product roadmap.
Define the Data & AI strategy for the product, including architecture, scalability, engineering standards, and best practices.
Oversee end-to-end development of Data and AI capabilities, including model integration (LLMs/ML), data pipelines, analytics components, and production-grade AI services.
Work closely with Product, Architecture, Delivery, and customer stakeholders to translate business needs into scalable AI and data-driven solutions. Manage agile engineering processes: planning, prioritization, execution, technical design reviews, DevOps practices, and quality control.
Lead innovation initiatives in Generative AI, evaluate emerging technologies, and own POCs, pilots, and transformation activities.
Manage budgets, recruitment, talent development, leadership growth, and organizational KPIs.
Represent the Data & AI domain in executive forums, customer discussions, and cross-organizational strategic initiatives.

We need a VP Product who can be the GM's true partner on the build side. Not a roadmap manager. Not a feature prioritizer. A leader who owns outcomes across three products, makes hard calls with incomplete information, and ships things that change how the market works.

You'll lead a product team of Directors, Senior ICs, Designers, and Analysts. You'll partner with the VP R&D on what's possible and the VP GTM on what sells. You'll be in the room for every strategic decision and on calls with customers who are betting their business on what we build.

What You'll Do
Set product strategy across three products at radically different lifecycle stages - and make the resource trade-offs between them.
Lead the AI transformation - from "AI-powered features" to products customers can't imagine using without AI.
Turn product insight into commercial advantage - packaging, pricing, and positioning that wins deals.
Bridge the build and sell sides - make engineering understand the market and GTM understand the product.
Be close enough to customers that you know what they need before they ask for it.
Build and develop a team that can operate without you in the room.