Role Description Cisco is currently seeking two senior product marketing leaders to join our team. These are remote roles based in the United States, requiring significant travel (approximately 30–50% of the time). In these roles, you will own the product marketing strategy for Cisco’s AI infrastructure portfolio, connecting technical capabilities to the business outcomes customers require for AI workloads and AI-native applications. You will: - Define the narrative, positioning, messaging, launch strategy, and sales enablement required to power secure, connected, AI-ready organizations. - Partner with Product Management, Engineering, Sales, Corporate Marketing, Analyst Relations, and Communications. - Translate complex infrastructure innovation into market value. - Drive cross-functional alignment. - Equip the business to win with enterprise buyers and executives. Qualifications - Bachelor’s degree in Business, Engineering, Marketing, Communications, or a related field, or 19+ years of equivalent professional experience. - 15+ years of experience in B2B technology marketing. - 5+ years of experience in product marketing leadership specifically within enterprise infrastructure, networking, data center, cloud, security, or AI/ML platforms. - 5+ years of experience developing product positioning, messaging, go-to-market strategy, launch plans, and sales enablement assets for enterprise technology solutions. Requirements - Ability to travel domestically and internationally up to 50% of the time. - Experience working directly with product and engineering teams to translate technical roadmaps into customer-facing value propositions. - Experience leading cross-functional initiatives involving sales, marketing, and executive stakeholders. - Proficiency in utilizing market data, customer insights, and campaign performance metrics to report on strategy effectiveness. - Experience in creating and executing go-to-market strategies for category-defining technology. - Direct experience managing and influencing distributed, global teams. - Demonstrated history of delivering thought leadership content, including white papers, executive narratives, and solution briefs for technical audiences. - Experience building and executing enablement programs for global sales organizations and channel partners. - Advanced degree (MBA or equivalent) in a relevant field. Benefits - Medical, dental, and vision insurance. - 401(k) plan with a Cisco matching contribution. - Paid parental leave. - Short and long-term disability coverage. - Basic life insurance. - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees. - 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco. - Non-exempt employees receive 16 days of paid vacation time per full calendar year. - Exempt employees participate in Cisco’s flexible vacation time off program. - 80 hours of sick time off provided on hire date and each January 1st thereafter. - Optional 10 paid days per full calendar year to volunteer.

• Lead the engineering team responsible for the day-to-day implementation, scaling, and operation of AI compute clusters. • Translate engineering roadmaps and technical requirements from the Director of AI Infrastructure into detailed project plans and execution milestones. • Drive delivery of cluster deployments, hardware bring-up, node configuration, and integration with orchestration and scheduling systems. • Ensure cluster reliability, uptime, and performance through monitoring, automation, and continuous operational improvements. • Oversee lifecycle operations for bare metal and GPU fleets, including provisioning, configuration management, firmware/driver updates, and hardware validation. • Manage incident response for GPU and cluster infrastructure, ensuring timely resolution and root-cause analysis. • Work closely with AI/ML, SRE, Networking, and Hardware Engineering teams to ensure cluster capabilities meet training and inference needs. • Coordinate with Product to confirm technical requirements, feature readiness, and delivery timelines. • Support integrations across networking, storage, scheduler, and resource orchestration components. • Improve tooling and automation for cluster provisioning, observability, configuration management, and large-scale fleet operations. • Contribute to the development and refinement of multi-tenant scheduling, workload management, and orchestration systems in partnership with senior technical staff. • Identify performance bottlenecks and propose engineering-level optimizations. • Coach and mentor engineers, fostering a high-performance, detail-oriented engineering culture. • Support career development, expectations, and performance management for team members. • Help refine engineering processes, including code reviews, testing standards, documentation, and operational runbooks.

• You will own, build, and run your startup in fields such as AI Infrastructure • You will embark on an extensive personal development journey crafted by unicorn founders • You will receive support in hiring through our network • You will receive intensive coaching to make your startup ready to raise millions in funding • You will iterate your product until achieving product-market-fit

• You will own, build, and run your startup in fields such as AI Infrastructure. • You will embark on an extensive personal development journey crafted by unicorn founders. • You will receive support in hiring through our network. • You will receive intensive coaching to make your startup ready to raise millions in funding. • You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively.