Gong VP R&D - Data division 

Israel, Tel Aviv District, Tel Aviv-Yafo 

729497881

Asof the

• Define and implement the R&D data strategy, ensuring alignment with company objectives and business needs.
• Manage multiple product areas, balancing innovation, scalability, and customer needs.
• Oversee quarterly planning, execution, and delivery, including bug resolution, customer support, and collaboration with GTM teams.
• Drive efficiency and continuous improvement in software development methodologies, ensuring high-quality, scalable, and secure cloud-based solutions.

• Lead a large-scale R&D organization of 80-100 employees , including manager-of-managers and group leaders .
• Foster a high-performance culture with a strong emphasis on collaboration, innovation, and accountability.
• Scale and structure the team to support rapid growth and evolving business priorities.

• Oversee data applications and infrastructure development , ensuring robust architecture and technical excellence.
• Bring our Data and API strategy to the next level, with AI driven technologies like MCP and A2A.
• Lead the revolution of Gong data driven applications with a unified data strategy including a shared data model and data related capabilities across the platform.
• Lead Gong connection to the ecosystem, leading our strategic partnerships with key players in the market like Microsoft, OpenAI, Salesforce and more
• Build data processes and infrastructure to support the huge scale of billions of records of our customers data in an infinitely scalable platform requiring tight SLAs for updates and sub second query times for complex aggregations.
• Manage diverse systems and products with complex technology stacks , ensuring seamless integration and scalability.
• Lead cloud and scale-focused initiatives, ensuring optimal performance and reliability in a SaaS environment.

• Proven experience as VP of R&D , with a minimum of 5+ years in the role.
• Experience managing large R&D organizations (80-100 employees) with multiple leadership layers.
• Deep understanding of quarterly planning, bug management, customer support, and GTM collaboration .
• Hands-on experience with data applications development and large-scale SaaS architecture.
• Expertise in cloud technologies, scalability, and complex technology ecosystems .
• Strong leadership, organizational, and communication skills, with a strategic mindset.

• Experience in fast-growing SaaS companies with global operations.
• Proven ability to balance short-term execution with long-term innovation.
• Background in high-scale distributed systems, microservices, and DevOps practices.

*We operate in a flexible hybrid work model.