About Netskope

Today, there’s more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Madrid, Melbourne, Taiwan and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers and follow us on Twitter @Netskope and Facebook. 

About the Role

As a member of the API Protection team you will work cross-functionally to build state-of-the-art cloud platforms to support our growing product portfolio. Specific responsibilities will include but not be limited to:

• Collaborate with high profile talents, coach, mentor and encourage growth and career progress of team members.
• Reviewing architectures and designs across the organization to help guide other engineers to build scalable cloud services
• Providing technical leadership and strategic direction for large-scale distributed cloud-native solutions
• Being a catalyst for improving engineering processes and ownership

Qualifications/Requirements

• 15+ years of software engineering experience including 8+ years experience with distributed systems
• Excellent Unix/Linux experience and programming experience with go, C/C++, java and scripting: python, ruby, shell
• Understanding of IPC mechanisms and previous experience working with: TCP/IP, Kafka, zmq, grpc, zookeeper.
• Strong background in cloud environments: containers, docker, kubernetes, etcd, zookeeper, service meshes, vault, istio and envoy, API gateways, load balancers.
• Experience with databases, general understanding of ACID, consistency, sql/nosql, key-value stores, time series and columnar databases.
• Experience in CI/CD, using tools like Drone, Github, Makefiles, etc.
• Experience with in-memory databases like Redis

Additional Skills

• Strong verbal and written communication skills. Communicate in an open, transparent and consistent manner with team and co-workers.
• Determined and ever ready to roll up sleeves to respond to the needs of customers proactively and promptly.
• Achievement orientated and willing to take responsibility for own actions.
• Believe in innovation and out-of-the box thinking to foster originality of ideas.

Education

• MS in Computer Science or equivalent technical degree

#LI-AW1

About the role

We are seeking a visionary Director of Product Management to serve as the chief product officer of technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep expertise in AI/ML and security, you will lead the architecture and deployment of large-scale, production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture.

What’s in it for you

This is a highly impactful leadership opportunity to shape the AI transformation of a market-leading cloud security company. A successful candidate will serve as a primary technical and strategy pillar for the organization, possessing deep technical expertise in applying AI/ML technologies to complex security applications. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.

What you will be doing

• Define the AI Transformation Roadmap: Drive the overarching AI/ML technical strategy, ruthlessly prioritizing architectural choices to ensure highly scalable, reliable, and production-grade systems.
• Define and Bring to Market Production-Grade Inference Systems: highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency.
• Lead the End-to-End AI Lifecycle: Collaborate with ML scientists, engineers, and executive stakeholders to define and execute complex business requirements into industrialized enterprise solutions.
• Establish Rigorous AI Evaluation: Create strict 'Report Cards' for AI models in production, ensuring models are robust, scalable, and well-documented by measuring accuracy, latency, and security relevance before deployment.

Required skills and experience

• 12-15+ years of industry experience (or equivalent combination of an Advanced management degree + experience) in defining and bringing to market AI/ML solutions on large-scale security products or services.
• Fluency in the modern AI stack with proven experience with cutting-edge LLMs in production environments, with deep knowledge of vLLM, SGLang, and KV Cache optimization.
• Ability to translate complex technical requirements concepts between CXOs, non-technical stakeholders, and Data Scientists.
• Energetic self-starter with a true startup spirit, demonstrated ability to influence without authority, and the willingness to wear multiple hats to deliver end-to-end solutions in a dynamic, fast-paced environment.

Education

• Advanced technical degree in Computer Science, Electrical Engineering with MBA or equivalent experience.

#LI-SD1

About the role

Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope One security platform. We are seeking a visionary Distinguished Machine Learning Engineer to serve as the chief architect of our AI technical strategy, bridging the gap between cutting-edge AI research and enterprise-scale business impact. Leveraging our deep expertise in AI/ML and security, you will lead the architecture and deployment of large-scale, production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture.

What’s in it for you

This is a highly impactful leadership opportunity to shape the AI transformation of a market-leading cloud security company. A successful candidate will serve as a primary technical pillar for the organization, possessing deep technical expertise in applying AI/ML technologies to complex security applications. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.

What you will be doing

• Define the AI Transformation Roadmap: Drive the overarching AI/ML technical strategy, ruthlessly prioritizing architectural choices to ensure highly scalable, reliable, and production-grade systems.
• Architect Production-Grade Inference Systems: Design, optimize, and deploy highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency.
• Lead the End-to-End AI Lifecycle: Collaborate with ML scientists, engineers, and executive stakeholders to translate complex business requirements into industrialized enterprise solutions.
• Establish Rigorous AI Evaluation: Create strict 'Report Cards' for AI models in production, ensuring models are robust, scalable, and well-documented by measuring accuracy, latency, and security relevance before deployment.

Required skills and experience

• 12-15+ years of industry experience (or equivalent combination of an Advanced technical degree + experience) in architecting and developing AI/ML solutions, preferably on large-scale security products or services.
• Fluency in the modern AI stack with proven, hands-on experience optimizing cutting-edge LLMs in production environments, with deep knowledge of vLLM, SGLang, and KV Cache optimization.
• Ability to translate complex technical architectures and concepts between CXOs, non-technical stakeholders, and Data Scientists.
• Energetic self-starter with a true startup spirit, demonstrated ability to influence without authority, and the willingness to wear multiple hats to deliver end-to-end solutions in a dynamic, fast-paced environment.

Education

• Advanced degree (Masters or PhD) in Computer Science, Electrical Engineering, or equivalent technical degree.

#LI-SD1

About the Role

The Foundation Engineering team powers the core infrastructure of the Netskope NewEdge platform. We build and operate the services responsible for propagating runtime configuration state across 100+ data centers in near real-time, and we develop foundational cloud microservices that handle billions of events at scale. We are looking for a Senior Engineering Manager to lead this team — someone who combines strong people leadership with deep technical judgment, and who embraces an AI-first approach to engineering.

In this role, you will own the team's delivery outcomes end-to-end: from architecture and design through production operations. You will build a high-performing team, drive execution rigor, and ensure the foundational services your team owns are resilient, scalable, and built to the highest engineering standards.

What's in It for You

You will lead a high-impact team at the heart of the Netskope platform. The systems your team builds are critical infrastructure that every other service in the product depends on. You will shape how the team adopts AI-first engineering practices, drive full lifecycle ownership from requirements through production, and have direct influence on the technical direction of foundational cloud services used across the organization.

What You Will Be Doing

People Leadership and Execution

• Manage, coach, and mentor a team of engineers. Drive career growth through regular 1:1s, performance reviews, and individualized development plans.
• Build and grow the team through hiring — define roles, run interviews, raise the bar on talent.
• Run agile ceremonies (standups, sprint planning, retrospectives) and maintain delivery cadence.
• Plan and manage work using agile methodologies. Track milestones, manage timelines, and ensure the team delivers on commitments.
• Collaborate closely with Product Management, Program Management, and peer engineering teams to align on priorities and execution plans.
• Establish and maintain engineering best practices: code review culture, test-driven development, and continuous improvement.
• Deliver regular progress reports and communicate status, risks, and decisions transparently to leadership.

Technical Leadership

• Drive the architecture and design of next-generation foundational cloud services, including config propagation, runtime state synchronization, and platform infrastructure.
• Ensure the scalability, reliability, and availability of the services your team owns across a global footprint of 100+ data centers.
• Evaluate and adopt open-source technologies that best fit our needs.
• Coordinate cross-team technical dependencies with other service teams, SRE, and support to ensure end-to-end system health.
• Maintain hands-on engineering credibility — review designs, unblock technical decisions, and set the quality bar for the team's output.

AI-First Engineering

• Champion AI-assisted development across the team. Drive adoption of AI tools for code generation, code review, testing, and documentation.
• Set and track AI adoption metrics — measure how AI tools accelerate delivery velocity, reduce toil, and improve code quality.
• Foster a culture of experimentation where the team actively explores new AI  capabilities and integrates them into daily engineering workflows.
• Use AI-first practices to reduce operational burden, improve on-call efficiency, and raise the team's overall engineering leverage.

Required Skills and Experience

• A minimum of 15+ years of software development experience with 5+ years in an engineering management role leading teams of 8+ engineers.
• A proven track record of building high-performance engineering teams and defining effective processes that accelerate delivery with high quality.
• Demonstrable technical accomplishments and earned engineering credibility in distributed systems, microservices, and cloud infrastructure.
• Programming proficiency in Go (primary) and Python. Familiarity with C/C++ is a plus.
• Experience building or operating config management, data synchronization, or infrastructure services at scale is a plus.
• Hands-on experience with AI-assisted development tools and a track record of driving AI adoption within engineering teams.
• Experience with agile/scrum methodologies and sprint management.
• Strong cross-functional collaboration skills — ability to work effectively with Product Management, Program Management, SRE, and peer engineering teams.
• Excellent verbal and written communication skills, with the ability to communicate transparently and consistently with both technical and non-technical stakeholders.
• A strong customer focus and willingness to roll up your sleeves to respond to production needs promptly.

Nice to Have

• Experience in cybersecurity or network security technologies.
• Experience with Kubernetes and containerized deployments at scale.
• Familiarity with observability practices, monitoring, and on-call operations.
• Track record of reducing operational toil through automation and AI-driven tooling.
• Experience working with remote teams across multiple countries and time zones.

Education

BS in Computer Science or equivalent technical degree required. MS in Computer Science is strongly preferred.

#LI-SC1

About the Role

We are hiring a Principal Product Manager to lead product strategy for AI-powered agentic security operations at Netskope. This role sits at the intersection of applied AI and security operations where you will own the vision and roadmap for autonomous AI agents that investigate threats, perform security operations tasks, and orchestrate incident response across the Netskope Security Platform. The ideal candidate combines deep security operations domain expertise with genuine fluency in how modern AI agent systems work.

Responsibilities

• Define the product vision and roadmap for agentic security operations, expanding from DLP incident management into risk investigation, threat hunting, policy recommendations, and autonomous response.
• Gather and prioritize product requirements and user stories. Identify which security workflows are best suited for full autonomy vs. human-in-the-loop agent assistance vs. traditional automation - and draw those boundaries clearly.
• Own the end-to-end product lifecycle for agentic workflows: from agent design through prompt engineering, investigation quality benchmarking, UX design, launch, and post-launch optimization.
• Gather and prioritize requirements through direct customer engagement, SOC ride-alongs, field team feedback, and production agent performance data (accuracy, risk score calibration, false positive rates).
• Collaborate with UX to design the analyst-agent interaction model: how investigations are presented, how analysts provide feedback, how trust is built through transparency into agent reasoning.
• Collaborate with engineering, design, and marketing teams to deliver successful product launches. 
• Partner with engineering to evaluate and improve agent investigation quality - running evals to improve the accuracy, reliability, and safety of agents, tuning investigation workflows, and defining quality benchmarks for risk assessments, recommended actions, and incident summaries.
• Define success metrics for agent performance: accuracy, risk score precision, time-to-resolution improvements, and cost-per-investigation.
• Act as the primary product voice for agentic security operations across the organization - translating complex AI/agent capabilities into customer value for sales, marketing, and executive stakeholders.
• Partner with agentic platform engineering on agent infrastructure: LLM cost optimization, latency budgets, multi-tenant isolation, and scaling agent workloads across management planes.
• Present product updates and strategies to stakeholders.
• Monitor product performance and make data-driven decisions for improvement.

Qualifications

Mandatory:

• 10+ years of work experience in the Software/IT industry is mandatory.
• 7+ years of Product Management experience is mandatory.
• Demonstrated understanding of SOC workflows: alert triage, incident investigation, threat hunting, detection engineering, and incident response. You should be able to describe what an L1 analyst does differently from an L3 threat hunter.
• Working knowledge of modern AI/ML agent architectures - you don't need to write code, but you should understand concepts like multi-step agent workflows, tool use, prompt engineering, RAG, and the tradeoffs between autonomous and human-in-the-loop agent designs.
• Hands-on product instincts - you do UAT, run live demos, review investigation outputs, challenge prompt designs, and write detailed acceptance criteria. 
• Experience representing the customer: building relationships with security practitioners, running SOC ride-alongs, and translating analyst pain into product requirements.
• Track record of shipping products in fast-paced environments with overlapping workstreams and ambiguity.

Desirable:

• 5+ years of experience building or product managing cyber-security products is desirable.
• Experience building AI-powered products that went to production - not prototypes or demos. You've dealt with LLM hallucination, cost management, latency constraints, and quality measurement at scale.
• Familiarity with the MITRE ATT&CK framework, common detection rule formats, and how SOC teams operationalize threat intelligence.
• Experience with security data pipelines: event ingestion, alert correlation, enrichment, and the data challenges of multi-tenant security platforms.
• Previous experience in a technical role (security engineering, detection engineering, solution architecture, or SOC analyst) before moving into product management.

Skills

• Analytical rigor: You define success metrics before building, measure agent quality empirically, and make decisions with data. You can read a confusion matrix and explain why precision matters more than recall for autonomous remediation actions.
• Technical communication: You can whiteboard an agent workflow architecture with engineering, explain risk scoring methodology to a CISO, and write a crisp PRD that an L1 analyst would validate as accurate to their daily workflow.
• Security domain depth: You think in terms of attack paths, blast radius, lateral movement, and dwell time - not just features and user stories.
• AI product judgment: You have good instincts for when an LLM will perform well vs. poorly, when to use deterministic logic vs. AI reasoning, and how to design graceful fallbacks when agent confidence is low.
• Cross-functional influence: You lead through clarity and conviction, not authority. You can align engineering, design, sales, and executive stakeholders around a shared vision.
• Self-directed execution: You thrive in ambiguity, break down complex problems, and ship iteratively without waiting for perfect information.

Education & Travel

• BS/BA in Computer Science, Cybersecurity, or related technical field required. MS or MBA preferred.
• Ability to travel up to 25% (domestic and international for customer visits, SOC ride-alongs, and industry events).

Benefits

• Competitive salary and benefits package.
• Opportunity to define a new category at the intersection of AI agents and security operations - this is not incremental feature work.
• Direct impact on how security teams worldwide detect and respond to threats.
• Collaborative, engineering-driven culture where PMs are expected to go deep on technology.

#LI-SC1

About the role

Netskope Cloud Data Plane engineers architect and design one of the most scalable, high-performance cloud data planes in the world, processing 10+ Gbps of traffic, performing deep inspection using state-of-the-art techniques like AI/ML to detect activities and apply advanced policies like DLP, Threat and UEBA protection, all at line rate.

What’s in it for you

In this role, you will manage an engineering team and contribute to building our cloud based security products. Netskope has been recognized by Gartner as a leader in the Magic Quadrant for Security Service Edge - maintaining a Leader position since the report’s inception in 2022.

What you will be doing

• Managing, coaching, mentoring and encouraging the growth and career progress of team members.
• Collaborating with product managers and architects to lead the design, development and delivery of key datapath cloud security services running in 100+ data centers globally.
• Maintaining and increasing Product resiliency and sustainability.
• Leading teams in AI assisted software development and enabling teams to build well-designed quality software
• Providing technical leadership by sharing and adapting industry leading practices for the benefit of the company. 

 Required skills and experience

• A minimum of 15+ years of relevant work experience with 8+ years in a managerial role
• Proven experience as a technical leader for managers of managers, as the leader of an engineering organization makes significant impacts. You understand how to lead and inspire through others
• Experience in managing globally distributed teams in different time zones, be proficiency in defining effective engineering processes to accelerate the delivery of business results with high quality
• Passionate about developing products for hundreds of millions of consumers, with can-do attitude to deliver innovative solutions in high velocity
• Expertise in building high throughput and low latency dataplane systems, such as networking from Layer 3 to Layer 7, web proxy, security, monitoring and observability,etc
• Demonstrable technical accomplishments and earned engineering credibility
• Experience with cloud service frameworks and service mesh architectures
• The ability to thrive in a fast-paced and rapidly-changing environment
• Strong verbal and written communication skills, and the ability to communicate in an open, transparent and consistent manner with team and co-workers
• A strong customer focus and willingness to  roll up your sleeves and respond to the needs of customers proactively and promptly

 Education

• BSCS or equivalent required, MS in CS or Engineering equivalent strongly preferred

Nice to have

• REST API design and development experience.
• Proponent of TDD a big plus, knowledge of various unit testing frameworks

#LI-SD1

The Data Engineering team is uniquely positioned at the intersection of security, big data, and cloud computing. We are responsible for providing near real-time access to global security insights and intelligence data to our customers, enabling them to act in near real-time. In today's AI-driven world, data quality is more critical than ever. We are looking for a seasoned manager to guide the Quality organization through AI-driven workflows to improve the quality of our data products.

What’s in it for you

In this role, you will take the lead in directing the quality strategy for our core Data Infrastructure and products within high-volume, cloud-scale distributed systems. You will be instrumental in defining technical and quality standards from the ground up, collaborating closely with product and data systems experts to solve complex, large-scale challenges. This position offers a platform for high-impact leadership, allowing you to develop innovative, cutting-edge solutions that drive company goals while further refining your leadership skills in a dynamic and sophisticated engineering environment.

What you will be doing

• Team Leadership: Lead and mentor a team of 10+ engineers while fostering a culture of collaborative ownership.
• Strategy & Metrics: Define quality strategies and technical standards, creating measurable paths to achieve them while establishing KPIs to enhance product reliability.
• Technical Guidance: Provide leadership to team members in designing automation frameworks and comprehensive testing strategies.
• Systems Integrity: Measure and establish data integrity, system performance, and reliability in the face of failures.
• Cross-Functional Partnership: Partner with Engineering, Product, and Program Management throughout the development lifecycle to integrate quality into the core architecture.
• Operational Support: Support production software deployments and lead root-cause analysis for customer escalations.
• Advocacy: Build trust through partnerships and act as a passionate advocate for quality and customer success.

Required skills and experience

• 4+ years of people management experience leading geographically distributed teams of over 10+ members.
• A proven track record of developing automation frameworks, testing strategies, and applying modern tools and practices.
• Deep experience with data systems including Postgres, Clickhouse, Trino, Spark, Iceberg, Kinesis, Kafka, and cloud-native architectures.
• Strong familiarity with AI-driven tools and experience onboarding modern workflows to improve quality and productivity.
• Strong written and verbal communication skills with the ability to articulate quality objectives and their importance to customer success.
• Prior hands-on experience as an individual contributor (IC) at a Lead/Staff-level or higher is preferred.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-SC1