Jobs at Cisco

Lead Splunk's Incident, Problem, and Escalation Management (SPIE) engineering teams to run incident response, reduce recurring issues, drive cross-functional operating models, and translate customer-impact data into engineering priorities and resilience improvements.

Sell Splunk commercial SaaS solutions across a geo-based territory: generate pipeline, manage full sales cycles, meet license/support/service revenue targets, collaborate with partners, engage C-level stakeholders, and apply consultative selling to expand accounts and drive revenue growth.

Lead the roadmap and architecture for an enterprise-scale AI Development Factory: enable data ingestion, model fine-tuning and deployment, orchestration, governance/guardrails, and observability to ship secure, production-grade AI platforms for global customers.

Provide expert-level troubleshooting for complex network performance issues (BGP, OSPF, DNS, TCP/IP), lead resolution of critical outages using telemetry and packet captures, automate diagnostics with scripting, mentor junior engineers, produce documentation, and partner with engineering/product teams to drive product improvements in a FedRAMP environment.

Lead a team building production AI systems for code generation and developer productivity. Define technical roadmap, drive architecture for distributed training/inference and model serving, partner cross-functionally, establish evaluation/observability/benchmarking practices, and hire and mentor engineering talent to deliver scalable, reliable AI-powered developer tooling.

Lead research, design, and deployment of large-scale foundation models for machine-generated data (logs, time series, traces). Define AI strategy, mentor senior engineers, partner with product and exec teams, and drive production-grade model training, optimization, and MLOps for enterprise-scale applications.

Drive license, support, and services revenue for Splunk in Washington SLED and Higher Education accounts. Land, expand, and deepen complex, solution-based deals; build executive relationships; leverage partners and channels; act as a thought leader in machine learning and predictive analytics; consistently exceed quota and provide cross-functional feedback.

Lead development and execution of pricing and monetization strategies across Cisco's hardware and software portfolio. Collaborate cross-functionally to analyze market/competitive trends, customer behavior, price elasticity, and packaging. Support annual pricing reviews, build scalable pricing tools, and drive monetization initiatives to capture value and accelerate AI-driven offerings.

Lead development and execution of pricing and monetization strategies across Cisco's hardware and software portfolio. Collaborate cross-functionally to design pricing models, analyze market and customer behavior, support annual pricing reviews, and build scalable pricing capabilities and tools to optimize revenue and packaging.

Lead AI-driven observability product portfolio: define roadmaps, drive AI-powered monitoring, root-cause analysis, anomaly detection, alert correlation, remediation, and agentic automation. Own product lifecycle, align stakeholders, incorporate customer feedback, and evangelize solutions while ensuring AI evaluation quality and reliability.

Lead global Manufacturing vertical AI go-to-market: define strategy, drive pipeline and bookings, align cross-functional teams, build partner and customer lighthouse accounts, coach sellers, and lead executive engagements to scale AI solutions.

Lead global AI go-to-market for Financial Services: define vertical strategy, own pipeline/P&L, drive executive engagements, coach matrixed sellers, build partner and lighthouse customer programs, and scale solution-led motions to meet revenue targets.

Lead product marketing for Cisco IQ: define positioning, messaging, and GTM strategy; represent product in executive and industry settings; drive sales and field enablement; provide market, customer, and competitive intelligence; influence product roadmap and investment decisions; and act as subject-matter technical expert to scale cross-organization best practices and measure impact.

Lead end-to-end product marketing and customer experience for networking services. Define positioning, GTM strategy, content, and enablement; drive market and competitive intelligence and cross-functional alignment to increase adoption and revenue.

Lead and grow an SRE team operating the ThousandEyes FedRAMP US GovCloud platform. Own FedRAMP-compliant infrastructure strategy, continuous monitoring, logging, and auditing. Partner with product, dev, and security teams to ensure availability, automation, vulnerability management, and compliance with FedRAMP controls.

Lead go-to-market strategy for AI-powered networking use cases across Cisco Networking. Curate and prioritize use cases, synthesize cross-portfolio intelligence, define GTM and messaging, engage customers and analysts, align stakeholders, and drive adoption from early availability to general availability.

Lead global strategy, execution, and business performance for Cisco Live across AMERICAS, EMEA, and APJC. Manage a distributed team, define multi-year roadmap, ensure brand consistency, drive OKRs and pipeline growth, integrate product launches and acquisitions, and deliver large-scale, data-driven conference experiences with operational excellence and international travel.

Define technical direction for AgenticOps across security and observability products. Shape governed AI workflows using telemetry, topology, identity, risk, and network context. Partner with product and engineering leaders to prototype, resolve architectural tradeoffs, and deliver reusable platform patterns (tool access, permissions, auditability, approvals, policy enforcement, safe automation). Drive AI-assisted engineering transformation across planning, coding, review, testing, release readiness, support, incident learning, and operations.

Own developer experience for a platform: drive discoverability, documentation, getting-started flows, sample apps, engagement rituals, and metrics (time-to-first-success, activation, retention). Write specs, prototype with code and agentic tools, partner with platform teams, and communicate progress to leadership and developer communities.

Own and set strategy for Developer Foundations: shared platform services (registry, hosting, SDKs, public APIs). Drive reliability, performance, SDK/API adoption, partner integration, and low-friction developer experience for internal teams and external partners, including AI coding agents.