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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 . Positions are available at Senior Staff and above. Candidates are assessed individually and leveled according to their specific skills and background. About the role As a Senior Staff Machine Learning Scientist, you own the inference and optimization layer that makes AI in agentic workflows fast, efficient, and production-grade. You fine-tune and evaluate models, push latency and throughput on real hardware, and build the runtime that executes bounded AI tasks, validated against usage from Netskope’s large customer base so you optimize where the data points, not where you guess. What’s in it for you High-impact ownership. You own the model layer of a net-new product that changes the performance and economics of agentic AI. Cutting-edge, unusual stack. The hard, interesting inference problems live here: quantization, KV-cache and memory management, sparsity, fine-tuning, and hardware acceleration under real-world resource constraints. Real scale to build against. Netskope’s customer footprint gives you production signals most teams never see, so you deploy, validate, and iterate fast. What you will be doing Build and optimize the model inference path : quantization, KV-cache optimization, batching, and latency/memory/throughput tuning on constrained, commodity hardware. Fine-tune and evaluate models for bounded tasks; build eval harnesses that gate a capability to release on real accuracy, latency, and security relevance. Design and grow the task execution runtime (bounded sub-agents), pushing toward dynamic task generation and context compaction. Drive hardware acceleration / sparsity and support for larger models as the platform matures. Partner with the systems and backend engineers to ship capabilities end-to-end and iterate on real production signals. Required skills and experience 10+ years of overall industry experience , with 4+ years hands-on in ML/AI (model development, fine-tuning, and inference optimization). Hands-on with fine-tuning (e.g. LoRA/QLoRA), quantization (GGUF/AWQ/GPTQ), and inference runtimes (vLLM/SGLang, TensorRT-LLM, ONNX Runtime, llama.cpp, or MLX/CoreML). On-device or edge inference experience is a strong plus. Strong Python; comfort reaching into C++ for low-level interop is a plus. Solid grasp of transformer internals and the levers that move real inference performance and cost: KV cache, attention, batching, memory footprint. Fluency with agentic coding systems and genuine curiosity about agent harnesses like Claude Code, Pi, and Codex , so you should already be building with them, or itching to. Clear communication: able to distill a model or infra bottleneck into an actionable concept for cross-functional teammates. Education MS in Computer Science, Machine Learning, Electrical Engineering, or equivalent technical degree required, with a focus in AI/ML research; PhD in a related field strongly preferred. Compensation: At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site . Salary Range $124,500 — $272,000 USD Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

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 scaling high-throughput, distributed streaming systems (e.g., Kafka) in production environments. System Architecture: Expertise in designing resilient, scalable architectures that mitigate common production failure modes. Proficient in implementing robust design patterns like backpressure and circuit breaking to ensure reliability, with the technical depth to influence critical design decisions. Database Architecture: Demonstrated experience guiding teams through database-heavy platform design. Expertise in evaluating PostgreSQL (or equivalent) trade-offs, ensuring sound decisions regarding data modeling, sharding, and performance optimization for large-scale datasets. Graph Modeling: Experience providing architectural oversight for complex, relationship-heavy data systems. Skilled in coaching teams on modeling trade-offs and graph traversal strategies aligned with product performance and scalability. Operational Excellence: Proven track record in fostering a culture of operational rigor. Experience defining reliability strategies and establishing meaningful SLOs. Bonus Points: Deep experience with the end-to-end data lineage lifecycle, including telemetry collection, event unification, schema standardization, cryptographic fingerprinting, heuristic-based correlation, and graph-based modeling. Education: BSCS or equivalent required; MSCS or equivalent strongly preferred. Compensation: At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions. For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site . Salary Range $133,500 — $272,000 USD Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details. The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.