the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company 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 company.
at the company, 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, the company is the place to do the best work of your career.
the company 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 the company.
in this role, you will lead our quality engineering, sre, and NOC teams. you will help the company 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 the company 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 the company dependable.
as senior director of quality & reliability engineering at the company, you will
define and lead the company'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 the company'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.
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.
This position is open to all candidates.