Senior R&D Program Manager

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As a Senior R&D Program Manager at Gong, you'll play a critical role in driving cross-functional initiatives that enable our business to scale securely and reliably. You'll partner with leaders across Product, Engineering, and Business Operations to plan and execute complex, cross-organizational programs. This is a high-impact, hands-on role that demands operational rigor, a solid business acumen, and exceptional collaboration skills.

You’ll Own

• End-to-End Program Delivery: Driving large-scale initiatives from initial planning to successful launch, ensuring alignment with strategic business goals.
• Agile Infrastructure: Designing and running large-scale Scrum processes (LeSS/SAFe) to coordinate efforts across multiple application groups and cross-functional dependencies.
• Governance & Transparency: Developing and maintaining program plans, timelines, and status reports to ensure clear accountability across the division.
• Risk Management: Proactively identifying roadblocks and managing project risks to keep delivery on track.
  
  

• Organizational Complexity: Coordinating complex dependencies across different teams and ensuring a shared understanding of scope and ownership.
• Methodology Shifts: Leading the division’s strategic transition to Agile/Scrum and overcoming the challenges of cultural and operational change.
• Operational Bottlenecks: Identifying and implementing process improvements to eliminate friction and increase team efficiency.
  
  

• Organizational Culture: Fostering a mindset of self-organization, accountability, and continuous improvement through dedicated coaching and mentorship.
• Operational Excellence: Boosting program visibility and cross-departmental collaboration, ensuring a seamless flow from planning to execution.
• Business Velocity: Improving the speed and quality of iterative delivery, directly influencing the company’s ability to meet its core objectives.
  
  

• A minimum of 10 years of industry experience, with at least 5 years in a dedicated program or project management role, ideally within a SaaS or high-growth tech environment.
• A solid understanding of the product development lifecycle and the ability effectively translate business goals into actionable plans.
• Experience working with and implementing a Scaled Agile Framework (e.g., Scrum@Scale, LeSS, or SAFe) across multiple teams.
• Excellent oral and written communication skills. You have a proven ability to influence without authority, build consensus, and lead diverse teams to a common goal.
• A self-motivated and highly organized approach. You thrive in ambiguous environments, take ownership of problems, and drive them to resolution.
  
  

• Experience in the B2B SaaS space.
• Strong technical fluency that includes understanding system architecture, APIs, data flows, and engineering trade-offs, and to challenge assumptions when needed.
• Experience working with teams that developed AI agents, Data Scientists or Machine Learning.