Sr. Engineering Manager, Data Security
Netskope
| Company | Netskope |
| Category | Uncategorised |
| Location | Santa Clara |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
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 role
The Netskope Data Security team provides unrivaled visibility and real-time protection, ensuring customer data is secured wherever it resides. As a Senior Engineering Manager, you will lead the Data Lineage team—the architects of a high-performance platform that traces the movement and transformation of data across cloud applications, endpoints, and on-premises systems. This product is defined by high-throughput streaming, large-scale database optimization, and sophisticated graph traversal logic that converts raw event streams into coherent, explainable provenance chains.
This role requires an entrepreneurial leader with a passion for innovation and a commitment to nurturing both engineering talent and product vision. You will act as both a technical lead and a product owner, partnering across the organization to align engineering milestones with strategic business objectives. You will define the roadmap, translate complex challenges into executable plans, and mentor a high-performing team while setting the long-term architectural direction.
What you will be doing
Product Strategy & Roadmap: Collaborate with Product Managers to co-own the product vision and roadmap. Prioritize the backlog by balancing new feature development with performance improvements, scalability investments, and architectural health.
Technical Stewardship: Set the architectural vision for a high-throughput, multi-tenant platform. Guide the team's approach to streaming ingestion, distributed database optimization (PostgreSQL), and complex graph traversal algorithms.
Cross-Functional Collaboration: Partner with Product Managers, SRE, and adjacent engineering teams to align on requirements and dependencies. Translate deep technical trade-offs into clear, decision-ready recommendations for leadership and stakeholders.
Operational Excellence: Define and track Service Level Objectives (SLOs), lead incident response and root-cause analysis, and drive reliability improvements for a production-critical system.
Required skills & experience
Engineering Leadership: 10+ years of software engineering experience, including 3+ years leading engineering teams. Proven track record in hiring, performance management, and driving technical roadmaps.
Product leadership: Track record of collaborating with product managers to define scope, prioritize backlogs, and ship customer-facing outcomes.
Strategic communication: Ability to bridge engineering, product, and leadership audiences, translating complex technical trade-offs into decision-ready recommendations.
Bias for action: Experience operating in ambiguous environments, shaping roadmaps when requirements are incomplete, and navigating evolving problem spaces.
Distributed Systems: Demonstrated experience owning and sca