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 strengthen Gong’s engineering-owned quality model by creating the methodology, tooling, standards, and operating rhythm that help engineering teams own quality effectively. You will work closely with engineering leaders to make quality risks visible, improve release confidence, and give teams the practical capabilities they need to ship quickly and safely at scale.

As Director of Quality Engineering at Gong, you will:

• Define and manage Gong’s quality operating model across R&D, including ownership expectations, release-readiness standards, metrics, and review routines.
• Build the Quality Engineering methodology and tooling that help engineering teams improve automation, test data, test environments, and non-functional quality.
• Lead centralized Quality Engineering capabilities, including specialized manual quality validation, AI-assisted Quality Engineering tooling, and automation.
• Partner closely with Engineering, Product, DevEx, and SRE to turn quality standards into adopted day-to-day practices.
• Use quality metrics and production feedback to identify weak spots, drive improvement plans, and help R&D leadership make informed decisions.

You should apply if you have:

• Significant experience leading Quality Engineering (or QA) in a complex SaaS or cloud-based product environment.
• Strong technical judgment across automation, test architecture, test data, and production-quality practices.
• Strong operational leadership: you know how to create clarity, define ownership, arrange cross-team work, and drive adoption without relying on heavy process.
• Experience helping engineering teams improve quality through methodology, tools, standards, and coaching.
• A pragmatic leadership style, with the ability to create standards that teams actually use.
• Excellent communication and stakeholder-management skills, with the ability to operate well in fast-moving environments.

Bonus skills:

• Experience with AI-assisted quality workflows, test generation, or regression-selection workflows.
• Experience with developer productivity, internal platforms, or DevEx-adjacent initiatives.
• Prior experience as a software engineer, software architect, automation architect, or technical quality leader.

It’s important to note that this is not a traditional Quality Assurance role. The larger part of this role is not to lead our quality control efforts; instead, we are looking for someone to continuously build and improve our quality methodology and toolset, thereby driving up overall quality. 

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.

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