Sr. Manager, Quality Engineering

About this role

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

About the team

Our Data Engineering team is right at the heart of security, big data, and cloud computing. We process nearly 1PB of data every day with 99.99% uptime, delivering near real-time security insights to our customers. In this AI-driven world, data quality matters more than ever—which is why we’re looking for a seasoned manager to lead our Quality organization into its next phase.

Why you’ll love this role

You’ll lead the quality strategy for our core data infrastructure, working at a truly massive scale. We’ve moved away from the old "gatekeeper" model; instead, our quality engineers are embedded right in the development squads. They’re part of the team from day one, shifting testing left and sharing ownership of quality with developers. We measure success like engineers do: we look at deployment frequency, lead time, MTTR, and change failure rate—not just bug counts or pass rates.

You’ll also lead a high-leverage platform tooling team. You’ll be responsible for building the "paved roads"—the shared CI/CD gates, contract-testing infrastructure, and chaos templates—that allow teams across the org to move fast and independently, all while setting the technical standards and career paths for the whole organization.

What you’ll be doing

- Team Leadership: You'll lead and mentor 10+ engineers, fostering a culture of shared ownership.

- Strategy & Metrics: You’ll define our quality strategy and standards using DORA metrics (like deployment frequency and MTTR) rather than legacy QA metrics.

- Technical Guidance: You’ll guide teams in designing automation frameworks, contract-based testing, and resilience strategies for our complex systems.

- AI Integration: You'll oversee our rollout of AI-augmented testing—from LLM-driven test generation to evaluation frameworks for our AI products—making sure these tools actually accelerate our developers.

- Systems Integrity: You'll establish standards for data integrity and system reliability, even when things fail at scale.

- Cross-Functional Partnership: You’ll work closely with Engineering, Product, and Program Management to make sure quality is built into the architecture from the start.

- Operational Support: You’ll help with production deployments and lead root-cause analysis when things go wrong.

- Advocacy: You’ll build trust through influence, acting as a passionate champion for quality and customer success across the entire organization.

What you’ll bring

• 4+ years of management experience leading distributed teams of 10+ people.

• A track record of building modern testing strategies and automation frameworks. Experience with contract/consumer-driven testing or chaos engineering is a big plus.

• Deep experience with data systems like Postgres, Clickhouse, Trino, Spark, Iceberg, Kinesis, Kafka, and cloud-native architectures.

• Strong familiarity with AI-driven tooling, including evaluating AI-generated tests and code quality.

• Great communication skills—you’re comfortable influencing others and explaining quality goals to both technical and non-technical folks.

• Prior hands-on experience in a Senior IC role is preferred.

• BSCS degree or equivalent required, MSCS or equivalent strongly preferred.

Compensation: