Jobs at Cisco

Design, build, and operate highly scalable distributed systems across cloud and Kubernetes. Own features end-to-end (design, implementation, testing, deployment), troubleshoot production issues, participate in on-call rotations, collaborate with product and SRE teams, and mentor junior engineers while improving reliability, performance, and automation (including AI-assisted tooling).

Provide technical leadership designing, building, and operating production-grade developer platforms to improve software validation and release confidence. Drive platform modernization, large-scale migrations, and cross-team architectural change while contributing hands-on and mentoring senior engineers.

Lead three teams in a manager-of-managers structure to define strategy and roadmap for internal developer platforms. Deliver capabilities that improve automated testing, release pipelines, quality, and developer productivity while driving adoption, reliability, and measurable impact.

Lead consultative engagements aligning Cisco AI infrastructure and connectivity solutions to customer outcomes; design go-to-market and high-growth sales motions; create sales assets and multi-year business cases; run customer workshops and thought leadership; orchestrate cross-functional programs with Product, Marketing, IT, and global sales to drive pipeline and bookings.

Lead a services sales team for SLED West to drive recurring revenue, profitability, and market expansion. Coach reps, align service strategies to customer outcomes, manage complex sales cycles and forecasting, and collaborate with account teams and specialists to close deals and present data-driven plans to senior leadership.

Lead end-to-end design of AI-enabled networking experiences: convert ambiguous AI opportunities into product concepts, prototypes, and shipped features. Define AI-first interactions, data and telemetry requirements, reusable UX patterns for control and explainability, and partner with platform, engineering, and research teams to deliver trustworthy, measurable intelligence features.

Lead program management for AI Transformation and Design Foundations, building roadmaps, governance, operating models, adoption plans, and metrics. Coordinate cross-functional teams (design, engineering, research, security, AI) to operationalize AI-assisted design practices, remove blockers, track risks and impact, and create playbooks and communication for scalable adoption.

Lead adoption and activation for Cisco's AI for Sales Center of Excellence. Own program health, operating cadence, executive and frontline-manager engagement, adoption measurement, and cross-functional orchestration to drive seller behavior change and business outcomes.

Lead SI/PI technical work for next-generation ASIC packaging: define design rules, run pre/post-layout SI/PI simulations, analyze substrate SI/PI, collaborate with layout and system teams, mentor engineers, and drive packaging design and validation for high-performance ASICs.

Lead deal structuring and drafting of order documents, negotiate with customers, manage end-to-end order document process, advise sales on Splunk buying programs and pricing, coordinate internal stakeholders, provide sales training and enablement on deal structure and programs.

Sell Splunk/Cisco cybersecurity solutions to U.S. Air Force and federal customers. Identify and develop mission opportunities, lead complex stakeholder engagements, deliver IL-compliant security solutions, exceed revenue targets, and collaborate with engineering and partner teams. Travel nationally (up to 50%) and apply solution-selling methodologies to close tactical and strategic opportunities.

Lead the Splunk US Military sales team to hit license, support, and services revenue targets. Drive territory mapping, account planning, negotiate large enterprise/public sector deals, hire and coach sales staff, coordinate with inside sales, partners, and technical resources, and use sales methodology to expand deal size. Requires clearance eligibility and frequent customer engagement.

Build and operate an internal AI platform enabling engineers to create, deploy, and run AI agents at scale. Design services, frameworks, and tooling for secure, reliable AI workflows; build automation and high-impact agents to improve developer productivity; partner across teams to deliver platform capabilities and establish best practices for testing, deployment, observability, and operational ownership.

Lead and manage a team of AI hyperspecialist sales architects to influence enterprise AI purchasing, drive multi-year sales growth and portfolio profitability, coordinate cross-functional teams and partners, build C-level relationships, streamline sales strategy and execution, and deliver recurring revenue and renewal targets across global accounts.

Lead development and execution of pricing and monetization strategies across hardware and software products. Perform competitive and market analysis, pricing analytics, customer willingness-to-pay studies, and annual pricing reviews. Partner cross-functionally to build scalable pricing capabilities, tools, and packaging that drive revenue, cross-sell, and upsell.

Lead development and execution of pricing and monetization strategies across hardware and software portfolios. Perform market and competitive analysis, model price elasticity and willingness-to-pay, support annual pricing reviews, build scalable pricing capabilities and tools, and collaborate cross-functionally with product, finance, sales, and GTM teams.

Lead and grow a high-performing software sales team for Splunk/Cisco in the SLED public sector. Deliver and forecast revenue, direct sales activities, build pipeline, coach reps on value-based selling, and negotiate deals to achieve quarterly and annual targets.

Provide break-fix and premium technical support for Splunk Observability Cloud customers. Troubleshoot issues, reproduce problems, file bug reports, escalate to engineering, and collaborate with Customer Success. Communicate clearly with customers via phone/Webex, contribute to knowledge content, and develop expertise in cloud, Kubernetes, REST APIs and development languages.