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, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, 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. Please follow us on LinkedIn and Twitter@Netskope.
About The Role
We are seeking an exceptional Senior Engineering Manager to lead our AI Application Engineering team in India. This is a pivotal role that combines technical leadership, people management, and strategic vision to build cutting-edge AI-powered security solutions. You will lead a team of 14 talented engineers building intelligent applications that enhance our cloud security platform using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI / ML techniques.
Your team will be responsible for developing AI-driven features that transform how security teams detect threats, analyze incidents, and respond to security events. This includes building conversational interfaces for security operations, intelligent assistants for threat analysis, and automated systems that leverage generative AI to enhance security workflows.
What You Will Be Doing
AI Application Development & Strategy
- Lead the design, development, and deployment of production-grade AI applications leveraging LLMs, RAG architectures, and agentic AI frameworks
- Drive the technical vision for integrating generative AI capabilities across Netskope's security platform, including SIEM, threat detection, and security analytics
- Architect scalable AI application systems that process and analyze massive security datasets in real-time
- Establish best practices for LLMOps, including prompt engineering, model evaluation, fine-tuning, and production deployment
- Guide the development of RAG systems that integrate vector databases with security threat intelligence and organizational knowledge bases
Technical Leadership & Innovation
Oversee the end-to-end development lifecycle of AI applications using frameworks like LangChain, LlamaIndex, and modern orchestration toolsLead implementation of OpenAI API, Anthropic Claude, and other LLM integrations into production security systemsDrive adoption of vector databases (Pinecone, Weaviate, Chroma, pgvector) for semantic search and knowledge retrievalChampion MLOps and LLMOps practices including model versioning, A / B testing, monitoring, and continuous improvementCollaborate with data engineering, ML infrastructure, and security research teams to build cohesive AI-powered solutionsStay current with the rapidly evolving generative AI landscape and evaluate new models, techniques, and toolsSecurity Domain Expertise
Build AI applications that enhance threat detection, anomaly detection, and security incident responseDevelop intelligent systems that correlate security events across SIEM, CASB, SWG, and other security telemetry sourcesCreate conversational AI interfaces for security analysts to query threat intelligence and investigate incidentsImplement AI-driven automation for security workflows, alert triage, and incident remediationEnsure AI applications meet enterprise security, compliance, and data privacy requirements (SOC 2, GDPR, etc.)Team Leadership & People Management
Build, mentor, and grow a high-performing team of 14 engineers across various experience levelsFoster a culture of innovation, technical excellence, and continuous learning within the teamConduct regular 1 : 1s, performance reviews, and career development planning for all team membersRecruit top engineering talent and build diverse, inclusive teamsCreate an environment that encourages experimentation, learning from failures, and rapid iterationCollaborate with product management to define roadmaps, prioritize features, and deliver customer valueCross-Functional Collaboration & Delivery
Partner closely with Product Management, UX, Security Research, and Data Science teamsTranslate complex technical requirements into actionable engineering plans with clear milestonesManage project timelines, resources, and risks across multiple concurrent initiativesPresent technical architectures, progress updates, and strategic recommendations to senior leadershipDrive consensus on technical decisions across engineering, security, and product stakeholdersEstablish metrics and KPIs to measure the success and impact of AI applicationsRequired Skills And Experience
AI / ML and Generative AI Expertise
7+ years of software engineering experience, with 3+ years in engineering management leading teams of 10+ engineersDeep hands-on experience building production AI applications using LangChain, LangGraph, or similar orchestration frameworksProven expertise implementing RAG (Retrieval-Augmented Generation) systems with vector databases and LLMsStrong understanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.) and prompt engineering best practicesExperience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or pgvectorKnowledge of LLMOps practices including model evaluation, monitoring, versioning, and production deploymentFamiliarity with fine-tuning, embeddings, semantic search, and information retrieval techniquesSoftware Engineering & Architecture
Strong proficiency in Python for AI / ML applications, with experience in FastAPI, Flask, or similar frameworksHands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architecturesUnderstanding of microservices, APIs, and distributed systems design patternsExperience with containerization (Docker, Kubernetes) and modern deployment practicesProficiency in version control (Git), CI / CD pipelines, and agile development methodologiesKnowledge of data engineering concepts including ETL / ELT pipelines, data quality, and data governanceCybersecurity Domain Knowledge
Strong background in cybersecurity with understanding of threat detection, incident response, and security operationsExperience with SIEM platforms (Splunk, Elastic Security, Azure Sentinel) or security analytics systemsKnowledge of security concepts including threat intelligence, anomaly detection, MITRE ATT&CK frameworkUnderstanding of cloud security (CASB, SASE, SSE, Zero Trust) and modern security architecturesFamiliarity with security data sources (logs, network traffic, endpoint telemetry) and threat huntingExperience with compliance standards such as SOC 2, GDPR, HIPAA, or similar regulationsLeadership & Communication
Proven track record of building and scaling high-performing engineering teams in fast-paced environmentsStrong project management skills with ability to manage multiple initiatives simultaneouslyExcellent communication and presentation skills for technical and non-technical audiencesExperience translating business requirements into technical solutions and strategic roadmapsAbility to influence and drive consensus across cross-functional teams and stakeholdersMentorship and coaching abilities to develop talent and grow future technical leadersPreferred Qualifications
Experience in the cybersecurity or cloud security industryHands-on experience with agentic AI frameworks and multi-agent systemsBackground in NLP, machine learning, or deep learning research or applicationsExperience with threat intelligence platforms and security orchestration (SOAR)Knowledge of advanced AI techniques such as fine-tuning, reinforcement learning from human feedback (RLHF)Contributions to open-source AI / ML projects or security toolsExperience with streaming data processing (Kafka, Flink) in security contextsPublications, patents, or conference presentations in AI / ML or cybersecurityEducation
Bachelor's degree in Computer Science, Engineering, or related field requiredMaster's degree or PhD in Computer Science, AI / ML, or related field strongly preferredWhat We Offer
Opportunity to work on cutting-edge generative AI applications in cybersecurityLead a talented team at a company recognized as a Gartner Leader in SASECompetitive compensation package including salary, equity, and comprehensive benefitsProfessional development opportunities and access to latest AI / ML technologiesCollaborative, innovation-driven culture with global impactFlexible work arrangements and strong work-life balanceWork with Fortune 500 customers and solve real-world security challenges at scaleAbout Working At Netskope Bangalore
Join Netskope's growing Bangalore engineering hub, which serves as a key center for innovation in cloud security. Our Bangalore office features modern facilities in Whitefield's EPIP Zone, fostering collaboration and creativity. We maintain an open, transparent culture where technical experts work shoulder-to-shoulder with colleagues, and the best ideas win regardless of hierarchy.
As part of our global team of 3,000 employees, you'll work with industry leaders in security, networking, and AI / ML. We support remote work flexibility, encourage continuous learning, and provide opportunities to work on products that protect some of the world's largest and most sophisticated organizations.
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.
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Skills Required
Gdpr, ELT, Docker, Siem, Flask, Python, Aws, Git, Gcp, FastAPI, Splunk, Azure, Kubernetes, Etl