R&D, Manager - AI Agentic Frameworks

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.

We’re looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all Gong engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at Gong, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.

You’ll Own:

• Agentic Framework Architecture: Designing and building Gong’s internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
• Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
• Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
• Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
• Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
• Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within Gong’s broader backend ecosystem.

You’ll Solve:

• Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
• AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
• Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
• Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.

You’ll Impact:

• Company-Wide AI Enablement: Empowering every engineering team at Gong to build agent-based solutions faster, with higher quality and confidence.
• Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents at Gong will rely on.
• AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

How You’ll Succeed Here:

• You are a seasoned leader with 7+ years of hands-on technical experience, with at least 5+ years of experience leading engineering teams in a fast-paced environment.
• Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.
• Hands-on experience with agentic systems and frameworks such as LangChain, LangSmith, ADK, or equivalent agent orchestration platforms.
• Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.
• High proficiency in Python for building production-grade AI frameworks and services.
• Familiarity with Java and experience integrating backend platforms or tooling into Java-based systems.
• Experience building observability, monitoring, or platform tooling for distributed systems.
• Strong analytical skills and the ability to reason about complex, evolving AI-driven systems.
• Experience with cloud platforms and scalable microservices architectures.
• Excellent communication skills and a strong platform mindset, with experience enabling multiple teams.

*We operate in a flexible hybrid work model.

What Makes Engineering at Gong Unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make sound decisions, and build products that create meaningful impact. We call this “Own. Solve. Impact.”

For our engineers, this means it’s not just about writing code. You are involved in and able to influence the entire process to create the best possible product. If you’re curious to discover Gong’s dynamic and challenging environment, what are you waiting for? Don’t delay—submit your application today. Who knows, maybe there’s a Gongster in you!

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a workplace, we'd love to see you with us.

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