Jobs at Cisco

Develop and test software for large-scale networking platforms and distributed systems, with a focus on platform security and AI-powered infrastructure tools. Responsibilities include designing scalable solutions, developing Linux kernel drivers, troubleshooting and optimizing distributed systems, supporting production environments, and collaborating with distributed engineering teams. The role requires C/C++, Python, Linux, networking, container, and AI-assisted development experience, with preferred knowledge of Sonic OS, Linux kernel security, trusted hardware, and Cisco networking certifications.

Develop and execute executive communications for the Americas Software and Services Sales VP while supporting communications operations. Responsibilities include strategic messaging, thought leadership content, communication channels, social media strategy, templates, toolkits, playbooks, platform management, and alignment with sales, global communications, enablement, and change management teams.

Defines and evolves an enterprise AI and analytics platform. Owns product strategy, roadmap, requirements, and success metrics while partnering with customers, stakeholders, engineering, AI/ML, data science, and UX teams. Drives scalable, secure, responsible AI capabilities that improve adoption, engagement, reliability, and business value. The role requires experience with enterprise software, analytics, data, AI, platform products, modern data architectures, and technically complex engineering initiatives.

Own the vision, strategy, roadmap, and lifecycle for Cisco’s AI Security portfolio. Lead product development across AI application security, agentic AI, runtime protection, governance, supply chain security, and validation. Partner with engineering, design, research, sales, marketing, customers, hyperscalers, and ecosystem partners to deliver enterprise software products, secure executive alignment, drive adoption, and represent Cisco with customers, analysts, and industry leaders.

Lead strategy, architecture, and adoption of Cisco’s AI evaluation platform. Define benchmarking, automated LLM judging, human review, release gates, quality standards, regression detection, production telemetry, and feedback loops. Partner with research, engineering, and product teams to standardize evaluation frameworks across the organization and improve the reliability, safety, and accuracy of generative AI, RAG, and autonomous agent systems.

Designs and builds AI-powered document retrieval systems, MCP servers, agentic tools, and engineering workflow automations. Develops specialized AI models and developer utilities for networking domains, including switch telemetry analysis, network simulation, and P4 tooling. The role requires software development experience, cloud and containerization knowledge, CI/CD familiarity, and experience integrating AI tool-calling architectures.

Leads Cisco’s enterprise AI strategy and productivity transformation across engineering and product organizations. Defines multi-year roadmaps, prioritization frameworks, operating models, investment cases, and measurement systems for AI-enabled development. Partners with executives, AI providers, vendors, and cross-functional teams to scale developer tooling, modernize software delivery, improve engineering productivity, and quantify business value. Builds communities of practice, establishes governance, and coaches globally distributed teams through organizational change.

Leads finance and procurement application architecture and process transformation across manufacturing operations. Optimizes capital procurement, asset accounting, standard costing, P2P, O2C, accounts payable, accounts receivable, and financial close workflows. Designs ERP integrations, supports Oracle Fusion Cloud, enables SOX compliance, and drives automation, analytics, AI, and scalable digital solutions.

Own delivery of cloud-native SaaS and generative AI workstreams from technical planning through production launch. Translate requirements into schedules, milestones, dependencies, and commitments; coordinate engineering, product, AI/ML, data, infrastructure, and security teams; track risks and critical paths; support testing, release readiness, deployment validation, operational handoffs, and Agile execution practices.

Manages complex, cross-functional quality and process-improvement projects from scope definition through delivery. Responsibilities include planning schedules, budgets, resources, risks, metrics, stakeholder alignment, vendor coordination, change management, training, and process reengineering. The role leads project execution with minimal supervision, evaluates outcomes, mentors team members, and drives operational improvements within Cisco’s Failure Analysis & Prevention organization.

Own the roadmap for AI-native technical support and TAC capabilities. Design pre-case intake, support case lifecycle governance, classification, assignment, resolution, entitlement accuracy, and autonomous agent workflows. Partner with Product, Engineering, and Support leaders to define domain events, confidence rules, escalation policies, and automation governance. Drive support deflection, self-service resolution, operational efficiency, and Professional Services pipeline conversion.

Manage end-to-end hardware engineering programs from concept through customer release. Coordinate engineering, product, operations, manufacturing, and supplier teams; track risks, dependencies, schedules, budgets, and resources; resolve issues; provide leadership updates; and improve governance and delivery through automation and AI-enabled workflows.

Provide production support for enterprise AI capabilities, including generative AI assistants, conversational agents, RAG pipelines, vector search, model endpoints, and orchestration layers. Triage incidents, debug Python frameworks and APIs, monitor telemetry and performance, develop automation and synthetic tests, maintain SLAs, and document recurring issues. Collaborate with AI and platform engineering teams to improve reliability, troubleshoot complex failures, and support global business users.

Leads product marketing for Cisco’s AI infrastructure, compute, virtualization, HCI, and software ecosystem solutions. Develops joint GTM strategies with partners such as Nutanix and Red Hat, creates technical marketing assets, enables sales and channel teams, manages product launches and campaigns, and represents solutions at conferences, briefings, webinars, and partner events.

Leads inside sales teams serving the U.S. public sector, driving quota attainment, pipeline performance, portfolio profitability, and sustainable growth. Responsibilities include coaching and developing sales professionals, managing performance, aligning teams with business strategy, analyzing sales data and market trends, improving sales processes, fostering collaboration, and implementing digital engagement strategies. The role also builds relationships with customers and partners and supports strategic growth across government accounts.

Lead product strategy, roadmap, and agentic AI capabilities for Cisco Cloud Control’s MSP and partner ecosystem. Own multi-tenant platform requirements, delegated administration, RBAC, onboarding, API integrations, commercial workflows, and partner adoption analytics. Build executive relationships with MSPs, guide beta programs, and align engineering, design, sales, licensing, and cross-portfolio teams to deliver scalable cloud-managed networking and security operations.

Develops and brings up ATE test programs for ASICs, including test characterization, pattern generation and debugging, coverage improvements, and production release. Collaborates with ASIC design teams, silicon operations, NPI teams, and OSAT manufacturing partners to manage high-volume testing, triage failures, improve yield, and reduce test time.

Provides technical leadership for the reliability, scalability, and operational architecture of Splunk Agent Observability. Defines reliability strategy, leads Kubernetes and deployment infrastructure initiatives, establishes SLOs and resiliency standards, automates operations, manages complex incidents, builds internal platforms, and mentors engineers across cloud, air-gapped, SaaS, and on-premise environments.

Leads AI solution discovery, requirements definition, readiness assessments, and architectural alignment from ideation through production. Evaluates data quality, API readiness, and MCP compatibility; maps Quote-to-Cash and commerce workflows; analyzes Oracle and Snowflake data; develops process flows, technical specifications, roadmaps, and ROI updates; and partners with AI engineering teams to ensure effective implementation and adoption.

Own the strategy, roadmap, prioritization, and launch of Cisco Nexus Dashboard, the management layer for data center networking products. Define multi-quarter portfolio plans, balance features and technical debt, conduct market and competitive validation, coordinate cross-functional execution, and represent the product with internal and external stakeholders. The role focuses on advancing Agentic Operations through intelligent, automated, multi-agent workflows.