Gong

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. Software Architect, AI Applications As an Architect in Gong's AI Applications group, you will lead the architecture and technical direction of the Revenue Harness, the agentic framework that powers an AI teammate for every revenue professional. The assistant understands a user's deals, customers, and pipeline. It can reason, plan, and act on the user's behalf, grounded in the richest revenue data in the world. This is a hands-on role with broad influence. You will embed with teams where needed, guide design decisions, and help build scalable, extensible agentic systems on state-of-the-art AI technology. What You'll Build • Agentic Core: Agent orchestration, planning and reasoning loops, multi-step execution, and multi-agent coordination for long-running revenue workflows. • Tools & Integrations: A secure, extensible tool ecosystem, including MCP-based tools and connectors, that lets agents read from and act on Gong data, CRMs, email, and calendars. • Context & Memory: Retrieval pipelines over calls, emails, deals, and accounts, using RAG, hybrid search, and knowledge graphs, plus short- and long-term memory. • Quality & Trust: Offline and online evaluation of accuracy, groundedness, and task success, along with guardrails, permissions, and human-in-the-loop controls. • Model Platform: Multi-provider model routing, streaming, LLM observability, and cost and latency management. • Runtime & Execution: High-concurrency infrastructure for stateful and stateless agents, including lifecycle management, isolated workers, task queues, and distributed state persistence. • Deployment & CI/CD: Cloud-native Kubernetes deployments with multi-region rollout, zero-downtime updates, canary releases for non-deterministic workflows, and strict tenant sandboxing. You'll Own • Revenue Harness Architecture: Serve as the group's central technical leader. Define the reference architecture and the contracts between agents, tools, context, and models, so that teams build on a shared, scalable foundation. • Hands-On Engineering: Embed in teams across domains and contribute directly to design and code. • Quality & Reliability Standards: Set the group's eval methodology, regression gates, and production monitoring for non-deterministic systems. • Mentorship & Engineering Standards: Raise the bar on design quality and best practices across the group. • AI-Assisted Development: Drive adoption of coding agents, AI code review, and agentic workflows to improve velocity and quality. You'll Solve • Reliability on Non-Deterministic Foundations: Make LLM behavior trustworthy through structured outputs, tool-call validation, fallbacks, and well-defined failure modes. • Context at Enterprise Scale: Get the right information into the context window efficiently when the data spans millions of conversations, deals, and accounts. • Secure, Permission-Aware Agents: Enforce data boundaries, user permissions, and tenant isolation, and defend against prompt injection and unintended actions. • Quality, Cost & Latency Trade-offs: Balance them through model selection, caching, and routing. • Ambiguity & Divergence Across Teams: Bring clarity to loosely defined cross-team problems, surface blind spots, and steer teams toward aligned, reusable patterns. • Speed vs. Long-Term Evolution: Catch architectural gaps early and make pragmatic trade-offs, so that systems keep pace with rapidly changing models and tooling. You'll Impact • The Future of Revenue Work: Help sales professionals shift their time from busywork to selling. • A Higher Engineering Bar: Build stronger, more autonomous teams through better design practices and mentorship. • Consistent, Fast Delivery: Reduce duplication and accelerate execution without compromising long-term platform health. How You'll Succeed Requirements • 10+ years of backend development, with strong expertise in Java and modern frameworks such as Spring Boot. • Proven Staff or Principal-level impact across multiple teams, with the ability to lead through influence rather than authority. • Hands-on experience shipping production LLM applications, such as agents, tool calling, RAG, or structured generation, and an understanding of their failure modes. • Deep expertise in designing large-scale distributed systems, including asynchronous, event-driven, and streaming architectures. • Versatility in diving into unfamiliar codebases, switching context across teams, and spotting high-impact opportunities. • A passion for mentoring, and the ability to communicate complex ideas clearly to diverse stakeholders. • Genuine curiosity about the AI landscape, and a track record of driving adoption of AI-assisted development. Nice to Have • Experience with agent frameworks and protocols (e.g., MCP, Spring AI, LangChain/LangGraph) or with building an in-house equivalent. • Experience with LLM evaluation (LLM-as-judge, golden datasets, online monitoring), observability, and multi-provider routing. • Experience with vector databases, search infrastructure (e.g., Elasticsearch/OpenSearch), or knowledge graphs. • Familiarity with AI security concerns, including prompt injection, data leakage, and agent permission models. • Working knowledge of Python alongside a JVM stack. • Background in B2B SaaS, CRM, or revenue technology. 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 the right decisions, and build the best products that create radical impact. We call this "Own. Solve. Impact." For our engineers, it means it's not just about writing code. You are involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don't delay—fill in your application details. Who knows, maybe there's a Gongster in you! About us 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-MK3

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 Backend Engineer on Gong’s AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power Gong’s agentic ecosystem. You’ll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across Gong, making your impact immediate and company-wide. 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. • 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. • Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems. • 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 • 7+ years of backend engineering experience, with strong system design and platform-building expertise. • Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently. • Hands-on experience designing and building agentic systems or agent frameworks in production, including orchestration, tool usage, memory management, and multi-step workflows. • Experience extending or building frameworks on top of tools like LangChain, LangGraph, ADK, or similar agent orchestration frameworks. • Experience designing, implementing, and operating production-grade AI agents, including handling failure modes, retries, observability, and real user traffic. • 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? 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-MK3

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 Backend Application Infrastructure Engineer, you’ll build and evolve the core libraries, frameworks, and services that power Gong’s Python platform at scale. You’ll work on backend systems, distributed architectures, data infrastructure, and event-driven systems, enabling engineering teams to build reliable and scalable products efficiently. We’re looking for a strong Python engineer with deep systems understanding who enjoys solving complex technical challenges and building the foundations behind large-scale production environments. You’ll Own: • Designing, building, and maintaining core Python infrastructure libraries and frameworks used across engineering teams. • Developing and supporting high-scale microservices and the shared foundations they run on. • Building reusable infrastructure capabilities for data access, messaging, observability, and service communication. • Driving engineering standards around performance, observability, security, maintainability, and production readiness. • Driving CI/CD processes, deployment automation, and cloud-native operational practices. You’ll Solve: • Performance, concurrency, and scalability challenges across mission-critical Python services. • Data and infrastructure challenges across PostgreSQL, MongoDB, OpenSearch, Redis, Kafka, and SQS. • Production issues that require deep understanding of runtime behavior, such as memory, CPU, I/O, and process and thread behavior. • The growing complexity of modern software ecosystems by building infrastructure that guides developers toward best practices while preserving flexibility where needed. • Bridging architectural and operational gaps between Backend, DevOps, SRE, and Product Engineering teams. You’ll Impact: • Faster product development through strong infrastructure libraries and foundations. • Stable, scalable, and efficient production systems across critical platform components. • Better developer experience through well-designed, reusable components and streamlined engineering workflows. • The long-term evolution of Gong’s Python infrastructure and engineering standards. How You’ll Succeed Here: • You have 5+ years of experience building large-scale backend systems in production environments. • You have strong hands-on experience with Python and modern Python service frameworks. • You have experience building and maintaining shared libraries, including API design, versioning, backward compatibility, and packaging. • You have a deep understanding of Python’s concurrency models, including threading, multiprocessing, asyncio, and the GIL, and know when to use each. • You have a solid understanding of operating system fundamentals, such as processes, memory, networking, and I/O, and how they affect services in production. • You have hands-on experience with relational and non-relational data sources, including connection management and performance at scale. • You have proven experience designing and operating microservices and event-driven architectures. • You have strong experience with cloud infrastructure such as AWS, GCP, or Azure. • You understand how strong platform foundations balance flexibility with consistency in multi-technology environments. • You can independently drive technical solutions end-to-end in a fast-paced environment. • You collaborate effectively across teams and communicate technical concepts clearly. • You hold a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. What makes Engineering at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build products that create real impact. We call this “Own. Solve. Impact.” For our engineers, it means having the ability to influence architecture, infrastructure, and engineering direction while working on meaningful technical challenges at scale. If you’re excited about building scalable infrastructure and solving complex backend engineering problems, we’d love to talk to you. About us We encourage our employees to express their personality and identity, and we are committed to fairness and equal opportunity. We follow a hybrid working model that combines work from home, on the go, and from the office, enabling flexibility, autonomy, strong collaboration, and effective work habits. To review Gong’s privacy policy, visit www.gong.io/privacy-policy/ #LI-HS1

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. Gong’s Cloud Engineering group is the infrastructure backbone of a platform that processes millions of customer interactions every day. We’re looking for a DevSecOps Manager to lead our Israel-based DevSecOps team and own the security posture of Gong’s cloud infrastructure. You’ll inherit a strong, established team of DevOps and DevSecOps engineers with meaningful ownership and a mature security program. This is a hands-on leadership role that combines people management, technical depth, and architectural influence. You’ll define the cloud security roadmap, remain close to the code and systems, and partner with Product Security, R&D, and Cloud Engineering to make security part of the platform by default. You’ll own: • The security posture of Gong’s multi-cloud infrastructure across AWS, Azure, and GCP. • Identity governance, least-privilege access, credential lifecycle management, and cloud vulnerability management. • Security controls embedded directly into the cloud platform, enabling R&D teams to build and operate securely by default. • Developer toolchain security, including CI/CD pipelines, software supply chain risks, and developer-facing guardrails. • The implementation of security as code, replacing manual processes and ticket-based controls with scalable automation. • The leadership, development, and technical growth of a team of DevOps and DevSecOps engineers. • Team’s roadmap, priorities, and quarterly planning in alignment with Cloud Engineering and the broader Security organization. • The team’s role as the primary cloud security partner for Product Security, R&D, and Cloud Engineering. • Clear security standards, ownership boundaries, and operating practices across the cloud platform. You’ll solve: • Security challenges across a large, evolving environment with multiple production cells, several cloud providers, and more than 500 engineers. • Gaps in cloud identity, permissions, credentials, workload protection, and vulnerability management. • Security risks within Kubernetes, including RBAC, pod security, network policies, and runtime protection. • Risks across GitHub, CI/CD pipelines, third-party dependencies, and the software supply chain. • Friction between strong security controls and the speed, usability, and autonomy R&D teams need. • Repetitive security work by turning manual controls into automated, reusable platform capabilities. • Cross-functional challenges that require alignment between Cloud Engineering, Product Security, R&D, and compliance stakeholders. • Emerging cloud security gaps by proactively identifying them, proposing practical solutions, and driving remediation through completion. You’ll impact: • Gong’s ability to operate a secure, resilient, and scalable multi-cloud platform. • The security of the infrastructure supporting millions of customer interactions each day. • Engineering velocity by providing secure-by-default capabilities and self-service guardrails. • The effectiveness and consistency of cloud security controls across production environments. • The maturity of Gong’s DevSecOps practices, automation, and security-as-code capabilities. • The technical development of a strong team and its evolution into a center of cloud security expertise. • Strategic decisions across Cloud Engineering through active participation in the Cloud Engineering management forum. • How more than 500 engineers build, deploy, and operate secure applicative services at scale. You are: • An experienced engineering manager with at least two years of experience leading a DevSecOps, DevOps, platform, or cloud security team. • A hands-on technical leader with at least 7 years of experience in DevOps and cloud security who can build and troubleshoot solutions - not only review them. • Deeply experienced with AWS security services and controls (including IAM, SCPs, GuardDuty, CloudTrail, and KMS), and across Azure and GCP as well. • Strong in Kubernetes security, including RBAC, pod security, network policies, and runtime tooling. • Experienced in securing GitHub organizations and CI/CD pipelines built with technologies such as GitHub Actions and Jenkins. • Familiar with cloud security posture management platforms such as Wiz, Orca Security, or Prisma Cloud. • Fluent in infrastructure as code using Terraform, Crossplane, or equivalent technologies. • Comfortable balancing security, developer experience, operational needs, and business priorities, Proactive and accountable, with a track record of identifying gaps and driving solutions through completion. An advantage: • Experience supporting compliance programs such as SOC 2, GDPR, or ISO 27001. • Security certifications such as CKS, CISSP, or CISM. • Experience with GitOps practices and tools such as Argo CD or Argo Workflows. *We operate in a flexible hybrid work model. What makes the Engineering organization at Gong unique? At Gong, we build infrastructure that powers one of the leading AI platforms in the revenue space. Our engineering culture combines high ownership, technical excellence, and fast execution. We believe in solving complex problems with clarity, direct communication, and long-term thinking. This is an opportunity to work across teams and influence the technical foundations of a category-defining product used by some of the world’s leading companies. You’ll partner with exceptional engineers and leaders while shaping how Gong scales for the future. We encourage our employees to express their personality and identity, and we ensure fairness and equal opportunities. We follow a flexible hybrid work model that combines working from home, on the go, or at the office—supporting flexibility, autonomy, collaboration, and strong work habits. If these considerations are important to you when choosing a workplace, we’d love to meet you

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 experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.You’ll join Corporate Security Engineering within Gong’s Cyber Defense organization, You’ll design, implement, and mature the security controls that protect Gong’s business applications, workforce, and corporate environment. You’ll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation. You’ll Own • The security posture of Gong’s corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security. • Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks. • Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene. • The evaluation and rollout of new security technologies, taking solutions from proof of concept through production. • Automated workflows and API integrations that scale security controls without adding operational overhead or headcount. • SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools. • Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes. You’ll Solve • How to protect a fast-growing SaaS company’s corporate environment across a broad and evolving technology stack. • How to translate security risks into clear requirements, practical controls, and reliable production operations. • How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach. • How to automate security processes and integrate systems so controls remain effective as Gong scales. • How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions. • How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs. You’ll Impact • The security and resilience of Gong’s business applications, workforce, and corporate environment. • Gong’s ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance. • The maturity of the corporate security program by improving posture management, remediation, automation, and operational consistency. • The effectiveness of Cyber Defense incident response through hands-on technical expertise and strong cross-functional partnership. • The safe adoption of emerging technologies, including AI tools, AI agents, agentic workflows, and low-code/no-code platforms. • A security culture that helps teams move quickly and responsibly by exploring how to make things work securely. What you bring • 5+ years of experience in cybersecurity engineering, ideally in a high-growth SaaS environment. • Hands-on expertise with identity platforms, including Okta or Entra ID, plus experience in at least two of the following areas: data security, DLP/DSPM, endpoint security, EDR/BDR, email security, or network/SASE. • Practical experience with SSO, MFA, RBAC, SCIM, Zero Trust, and SSPM platforms. • Experience evaluating SaaS and application security, with an understanding of common security frameworks such as CIS, NIST, and OWASP. • An engineering mindset: you build automation, API integrations, and workflows rather than focusing only on tool administration. • The ability to drive security through strong relationships, communicate effectively across teams, and take ownership of complex problems. • An AI-first, hands-on problem-solving mindset. • Fluent English and the ability to work effectively with global teams. Strong advantages • Experience securing AI agents, agentic workflows, or low-code/no-code platforms. • Offensive security knowledge. • Familiarity with emerging SaaS threats, including OAuth abuse, token theft, and identity-based attacks. Scope clarity Corporate Security Engineering owns endpoint security, identity security, email and collaboration security, SaaS posture, Zero Trust access, DLP and insider-risk tooling, corporate vulnerability management, and employee AI-tool security. This role is part of Cyber Defense and focuses on the corporate environment. It is not the primary owner for CI/CD security, software supply-chain controls, infrastructure-as-code guardrails, product application security, product penetration testing, or cloud infrastructure provisioning and reliability. Why Gong At Gong, we trust and empower our employees to take ownership, solve complex problems, make sound decisions, and create meaningful impact. Our security team brings together diverse backgrounds, experience, and perspectives, and approaches security with a “let’s explore how we can make it work” mindset.We encourage employees to express their personality and identity, and we are committed to fairness and equal opportunity. Our hybrid working model supports flexibility, autonomy, strong working relationships, and effective work habits.

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 are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design. You’ll Own: • The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics. • A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team. • Lead our Platform Security domain — from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times. • Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks. • Lead our AI strategy — enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls. • The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture. • Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage. • Mature secure-by-default engineering practices across the SDLC. • Increase developer adoption of automated security tooling. You’ll Solve: • Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences. • Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models. • Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction. You’ll Impact: • Support a culture where security is embedded into the foundation of engineering • Turn security into a strategic product advantage and customer trust differentiator • Improve developer experience by making the secure path the easiest path • Increase engineering velocity while strengthening platform resilience • Shape the future intersection of Security, AI, and Platform Engineering • Create scalable systems, processes, and relationships that grow with the company’s innovation pace How You’ll Succeed Here: • An Experienced Leader: 10+ years in Security/Software Engineering with a track record of scaling departments in high-growth R&D environments. • A Technical Architect: Deep expertise in AWS/Kubernetes and modern platform security practices, Infrastructure-as-Code (Terraform/Crossplane), and secure coding (Java/Python/TypeScript). • A Systems Thinker: You have a proven track of building security machines from the ground up, with a people-first mindset, technology, and process. • Your work ensures that as Gong defines the future of AI-driven revenue, we do so on the most secure and resilient platform in the industry, building customer trust and promoting responsible AI adoption. What makes the Security department at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call it “Own. Solve. Impact.” Our security team is at the forefront of a monumental shift in implementing processes. Instead of simply saying "no," we embrace the mindset of "let's explore how we can make it work." Our security team brings a wealth of backgrounds, experience, and wisdom to the table. Which means that age comes before security, or is it the other way around? If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-TD1

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 Developer Experience (DevEx) Team Lead, you'll lead the team responsible for the platforms, tooling, and workflows that power Gong's engineering organization. You'll help hundreds of engineers build, test, deploy, and operate software more efficiently by removing friction from the software development lifecycle. This is a leadership role where you'll shape technical direction, grow a high-performing team, and drive initiatives that improve engineering productivity across the company. You'll Own • Developer Experience Platform- Drive the evolution of Gong's internal developer platform, enabling self-service capabilities across local development, CI/CD, testing, deployment, and observability. • Team Leadership & AI Adoption- Lead, mentor, and grow a team of platform and software engineers while driving the adoption of AI-powered development tools that accelerate engineering productivity at scale. • Engineering Productivity- Own the reliability and scalability of CI/CD systems, improve software delivery workflows, and partner with Infrastructure, Security, AI Enablement, and R&D leadership to continuously raise engineering effectiveness. You'll Solve • Remove bottlenecks across the software development lifecycle by building scalable platforms, automation, and self-service solutions that enable engineers to move faster with confidence. • Evaluate, operationalize, and scale emerging AI capabilities while ensuring they are adopted safely, effectively, and in ways that create measurable impact across R&D. You'll Impact • Increase engineering productivity and developer satisfaction by delivering reliable internal platforms and workflows that support hundreds of engineers across the organization. • Shape how software is built at Gong by influencing engineering standards, improving delivery speed and quality, and enabling teams to innovate more efficiently. How You'll Succeed Here • You bring 5+ years of engineering management experience leading highly technical teams in Developer Experience, Platform Engineering, or Infrastructure, with a strong track record of balancing strategic leadership with hands-on technical execution. • You bring a strong software engineering background with experience building cloud-native, distributed systems, ideally using Java and/or Python. • You embrace an AI-first mindset and have hands-on experience evaluating and integrating AI-powered developer tools into engineering workflows. • You have deep expertise in modern software delivery, CI/CD ecosystems, developer platforms, automation, observability, and GitOps practices. • You build strong partnerships across engineering organizations and influence technical direction through collaboration, communication, and a customer-first approach to developer experience. *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 the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.” For our engineers, it means being involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you! About us 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-HS1

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 seeking a highly motivated Senior UX Writer to join our Product Writing team. This is a senior role for someone who has already owned content for complex products and is ready to raise the bar again. If you have a passion for writing and are excited to have an impact on a platform used by some of the biggest names in tech, we want to meet you! The pace is fast and the standards are high. We’re looking for someone who loves writing, puts in the effort, and takes pride in shipping content that’s right. You’ll be working for an amazing offering in a growing market and working with a team of experienced writers, designers, product managers, and engineers. You’ll Own: • Owning and managing all the content needs for your pods • Driving writing projects end to end, working in Figma and prototypes to write, iterate, and refine copy in context • Helping to define and maintain our team style guide, design system, and other team assets You’ll Solve: • Working with product managers, engineers, and designers to create concise, clear, and helpful microcopy, and giving UX/UI content feedback in your product areas • Monitoring and responding to internal and external feedback channels to address customer needs and define content priorities You’ll Impact: • Supporting the documentation of Help Center articles • Creating user assistance for Gong’s features, including product tours and sidebar content • Using AI writing tools daily to draft, review, and scale content, and helping the team build smarter AI-assisted workflows How You’ll Succeed Here: • Have 5+ years of experience in writing microcopy • Write in mother-tongue English • Have experience owning UX content for complex products, from understanding the problem through launch and iteration, and a portfolio that shows it • Have strong content judgment and attention to detail, with a track record of producing accurate, consistent work • Take a research-minded approach: you seek out product context, user needs, and relevant evidence before making content decisions • Are fluent in AI writing tools and know how to use them to work faster without lowering quality • Are a quick learner, eager and curious to explore new technologies • Can step into the shoes of our various customers’ personas, modify the tone and voice of your writing to match the customer and use case, and create content that’s meaningful for them • Communicate clearly and proactively with partners: you share progress, surface risks or blockers early, and make sure decisions and next steps are understood • Follow through reliably: you manage competing priorities, meet agreed commitments, and raise changes to timelines as soon as they arise • Have the confidence to ask questions, flag uncertainty, and take ownership of resolving content issues • Work independently with minimal handholding, while being a strong team player • Are hard-working, positive, and energetic, and thrive in a fast-paced environment *We operate in a flexible hybrid work model. What makes the Product department at Gong unique? Here at Gong, 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 work place, we'd love to see you with us. To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details. #LI-RO1

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 an Application Infrastructure Team Lead, you’ll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, you’ll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale. If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth. You’ll Own: • Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence. • Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot. • Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack. • Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS. You’ll Solve: • Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis. • Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale. • Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs. You’ll Impact: • Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better. • System reliability: Ensuring the high availability, scalability, and security of mission-critical systems. • Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization. How You’ll Succeed Here: • You are a seasoned leader with 8+ years of hands-on technical experience, with at least 2+ years of experience leading engineering teams in a fast-paced environment. • You have deep, hands-on experience with Java & Spring Boot, building complex, large-scale server-side applications (this is a must). • You possess deep knowledge in at least one of the following: PostgreSQL, OpenSearch, Redis, MongoDB, SQS, or Kafka, and you know how to lead engineers to get the best out of these tools. • You are highly proficient with AWS services and understand how to leverage cloud infrastructure to build resilient systems. • You can see the big picture, balancing the need for immediate delivery with long-term architectural health and scalability. • You excel at communicating complex technical concepts clearly to both technical and non-technical stakeholders and at building consensus across teams. • You hold a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. *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 the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.” For our engineers, it means being involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you! About us 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-HS1

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 an Observability Platform Team Lead, you'll define how Gong sees and understands its production systems. You'll lead the team that builds our telemetry foundation: instrumentation standards, pipelines and tooling that let every engineering team detect, investigate and resolve issues quickly. This role sits where backend engineering meets production operations. If you're a hands-on backend engineer who has led OpenTelemetry adoption and believes good observability is something you design in, not bolt on, this is your opportunity to shape the practice from the ground up. You'll Own: • Team leadership & mentorship: Shaping and growing a high-performing team, and building a culture of ownership, curiosity and operational excellence. • Observability strategy & standards: Defining how services emit logs, metrics and traces, including conventions, defaults and a golden path that teams actually want to use. • OpenTelemetry adoption: Leading instrumentation across our Java and Spring Boot services, from SDKs and auto-instrumentation to Collector architecture and context propagation. • Telemetry pipelines & vendors: Owning the reliability, scalability and cost efficiency of telemetry pipelines in a multi-vendor environment. You'll Solve: • Signal vs. noise: Turning large volumes of telemetry into actionable insights by improving alert quality, cutting alert fatigue, and keeping cardinality and cost under control. • Visibility into the data layer: Defining how we monitor PostgreSQL, MongoDB, OpenSearch, Redis and Kafka, so issues show up before customers notice them. • Distributed systems debugging: Making it fast to trace a problem across services, queues and data stores. You'll Impact: • Detection and recovery time: Helping teams find and fix production issues faster, with clear SLIs and SLOs for critical services. • Engineering velocity: Providing libraries, templates and self-service tools so product teams get observability by default. • Reliability culture: Bringing SRE practices into R&D, including SLOs, error budgets, and healthy on-call. How You'll Succeed Here: • You have 8+ years of hands-on engineering experience, including 2+ years leading engineers, formally or as a tech lead. • You have deep, hands-on backend engineering experience building large-scale distributed systems. Java & Spring Boot experience is a strong advantage. • You have hands-on experience with OpenTelemetry: instrumentation (manual and auto), the collector, OTLP, semantic conventions and trace context propagation. • You understand SRE fundamentals: SLIs/SLOs, error budgets, alerting strategy, and incident response. • You know the key health signals of common data stores and messaging systems (e.g., PostgreSQL, OpenSearch, Redis, Kafka) and how to monitor them well. • You're comfortable on AWS and Kubernetes, and have worked with commercial or open-source observability backends. • You see observability as a product: you gather needs from engineering teams, influence without direct authority, and drive adoption. • You balance quick wins with long-term architecture, and you watch cost as closely as coverage. • You hold a Bachelor's degree in Computer Science, Software Engineering, or a related technical field. #LI-HS1

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 the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures. You’ll Own: • Gong’s end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents • Secure-by-design frameworks and security architecture for AI-powered products and platforms • AI threat modeling, adversarial testing, red teaming, and vulnerability management programs • AI governance, internal security policies, and alignment with emerging global AI regulations and standards • Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments • Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams You’ll Solve: • Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage • Preventing sensitive customer and enterprise data from leaking into training sets or model outputs • Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale • Embedding security seamlessly into the ML lifecycle without slowing innovation • Building scalable AI security operations through automation, monitoring, and continuous adversarial testing • Navigating evolving AI governance, compliance, and regulatory requirements across global markets You’ll Impact: • Maintain Gong’s reputation as a leader in secure and trustworthy enterprise AI • Build the foundation that allows AI innovation to scale safely and responsibly • Strengthen customer trust by protecting highly sensitive conversational and business data • Create resilient AI systems that can withstand real-world attacks and emerging threat vectors • Drive a security-first AI engineering culture across the organization • Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company How You’ll Succeed Here: • Experience: 7+ years in cybersecurity, with at least 2+ years explicitly dedicated to securing data science environments, ML pipelines, or AI-native applications. • Influence-Based Leadership: Exceptional communication skills with a proven track record of leading cross-functional initiatives and translating highly complex technical AI risks into actionable business strategies for executives. • AI/ML Infrastructure: Deep understanding of deep learning architectures, LLM mechanics, vector databases, and multi-agent orchestration frameworks. • Security Frameworks: Strong familiarity with MITRE ATLAS, OWASP GenAI Security Project • Builder - You will take the security department to its next level in adopting security AI agents What makes the Security department at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call it “Own. Solve. Impact.” Our security team is at the forefront of a monumental shift in implementing processes. Instead of simply saying "no," we embrace the mindset of "let's explore how we can make it work." Our security team brings a wealth of backgrounds, experience, and wisdom to the table. Which means that age comes before security, or is it the other way around? If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. 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. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-TD1

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. Gong is looking for an experienced Director of Quality Engineering to join our R&D team and define how quality is managed, measured, and improved across Gong. In this role, you will lead our Quality Engineering, SRE, and NOC teams. You will help Gong move from reactive quality and reliability operations toward an engineering-owned model in which teams ship with confidence, operate their services responsibly, and continuously learn from production. A significant part of this mandate is to make Gong an AI-driven quality and reliability organization: using AI to prevent defects, understand change risk, detect customer impact, accelerate response, and continuously improve the systems and practices that keep Gong dependable. As Senior Director of Quality & Reliability Engineering at Gong, you will • Define and lead Gong’s quality and reliability strategy across R&D, including ownership expectations, standards, and metrics. • Lead and coach the Quality Engineering, SRE, and NOC organizations, creating clear missions, healthy interfaces, and strong career growth. • Establish a pragmatic quality-and-reliability operating model spanning design, development, production operations, incident response, and learning. • Guide Gong’s QE methodology and tooling, including automation strategy, test architecture, test data, test environments, performance testing, and other non-functional quality practices. • Set the direction for reliability engineering, including observability, alert quality, capacity and performance, incident management, and reduction of operational toil. • Ensure that service teams own the reliability of their modules while SRE provides the standards, tooling, enablement, and cross-service visibility. • Ensure the NOC provides effective triage, runbook execution, and operational coverage for the platform. • Build a strong incident-management and post-incident learning culture: prioritize customer impact, coordinate response, identify systemic causes, and drive corrective actions to completion. • Lead AI-driven quality and reliability across the lifecycle: from test design, regression, and flaky-test analysis to alert triage, incident response, postmortem automation, and decision support for capacity, rollout, mitigation, and rollback. • Measure the impact of AI adoption through outcomes such as escaped-defect reduction, test-signal quality, alert-noise reduction, and time to detect and mitigate. You should apply if you have • Significant experience leading Quality Engineering, SRE, production engineering, or a comparable combination of quality and reliability functions in a complex SaaS or cloud-product environment. • Experience leading multiple technical teams and managers, with a track record of building effective organizations, clarifying ownership, and developing leaders. • Strong technical judgment across test architecture, automation, observability, service reliability, incident management, and production operations. • Experience defining and operating observability standards, SLIs/SLOs, alerting, incident-response practices, postmortems, and on-call models. • A demonstrated ability to help engineering teams improve quality and reliability through methodology, platforms, coaching, and practical standards rather than heavy process. • Experience with AI-assisted testing, incident response, operational knowledge, or developer productivity workflows. • Experience defining metrics and operating reviews that change behavior instead of creating reporting overhead. • Excellent communication and stakeholder-management skills, including the ability to communicate risk clearly to both technical and executive audiences. • Prior experience as a software engineer, automation architect, or technical operations leader. This is not a traditional QA or operations role This is a leadership role focused on building the system that makes quality and reliability a shared engineering responsibility. The goal is not to create a central gatekeeper or a team that absorbs every operational problem. The goal is to build the strategy, capabilities, standards, teams, and operating rhythm that enable Gong to deliver dependable customer outcomes at scale. What makes working at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build products that create radical impact. We call this “Own. Solve. Impact.” About us Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. Here at Gong, we encourage employees to express their personality and identity, and we ensure fairness and equal opportunities We follow a hybrid working model that combines working from home, on the go, and at the office. #LI-TD1