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Senior Director of Quality

Gong· Engineering
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Tel AvivFull-timePosted 4w ago

About the role

Gong is seeking an experienced Senior Director of Quality & Reliability Engineering to lead Quality Engineering, SRE, and NOC teams, shaping how quality is managed, measured, and improved across the company. The role focuses on moving to an AI-driven quality and reliability model and building a system where quality and reliability are shared engineering responsibilities rather than centralized gatekeeping.

Responsibilities

  • 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 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 service teams own the reliability of their modules while SRE provides 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.

Qualifications

  • 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.

Skills

Required:Quality Engineering leadershipTest architecture and automationObservability and SLIs/SLOsIncident management and postmortemsStakeholder communication
Nice to have:AI-driven quality practices

Benefits

  • We follow a hybrid working model that combines working from home, on the go, and at the office.
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Gong

Gong Revenue AI OS helps your entire GTM organization win. Drive growth with multimodal revenue signal processing, specialized AI agents, and purpose-built applications.

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