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The Firewall Management team at Cisco's Security Division is responsible for delivering innovative security solutions that simplify and enhance network protection. We work closely with Customers, UX, Engineering, Marketing, and other Product Managers to manage and prioritize the Firewall Management roadmap. Our goal is to integrate security capabilities seamlessly within Cisco's larger portfolio, ensuring our products meet the evolving needs of our customers.
Your Impact
Minimum Qualifications
Preferred Qualifications
Role: Product Manager
Industry Type: IT Services & Consulting
Department: Product Management
Employment Type: Full Time, Permanent
Role Category: Product Management - Technology
Education
UG: Any Graduate
PG: Any Postgraduate, MBA/PGDM in Any Specialization
Cisco has been active in India since 1995 and is a major contributor to the country's digital growth. India serves as Cisco’s second-largest research and development hub outside the U.S. The company supports digital initiatives in sectors like agriculture, education, and transportation. Through the Cisco Networking Academy, it also helps skill India’s tech workforce. In 2024, Cisco launched its first manufacturing unit in Chennai, aiming to boost local production and exports. This facility is expected to generate over $1.3 billion annually and create more than 1,200 jobs.
Job ID: 107753381
Skills:
email infrastructure , ticketing systems , Product Management, Third-party Integrations, Enterprise Communication Workflows
Skills:
Requirements Elicitation, Agile Methodologies, AI ML Use-case Ideation, Autonomous Operations AN4 Roadmapping, Closed-Loop Automation CLA, Stakeholder Management, SaaS Product Development, Product Ownership
Skills:
Enterprise Software, Human-in-the-Loop Workflow Systems, B2B SaaS, Product Management, Semantic Ontology Layers, Technical Design, Knowledge Graphs, Data Platforms
Skills:
Product Management, Engineering, Problem-solving, Marketing, Strategy, Customer Engagement, Stakeholder Management
Skills:
Apis, Microservices, Generative AI, data pipelines, model deployment, AI product lifecycle management, Monitoring, modern data architectures, AI ML concepts, MLOps practices, Microsoft Azure services, feature engineering
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