Customer Experience Customer Success Specialist
Cisco
- Location
- Bangalore, India
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 27, 2026
About this role
Meet the Team: Customer Experience (CX) Customer Success Specialists (CSS) are a team of extraordinary technical guides whose #1 focus is to deliver exclusive customer experience. We help solve business challenges with network-centric solutions that accelerate customer and partner success and dedication. As a team we know that in engineering and customer success, you can only be successful together, so we emphasize a culture of helping each other, working together, winning together and having fun together. As a CSS team we help customers adopt and expand Cisco solutions by showing impact on the customer’s business goals. Maintaining an end-to-end lens, as CSSs we partner closely with Customer Success Executives, Success Programs Managers, sales accounts teams, delivery teams, partners and others to affect adoption and renewals.
Your Impact
This role ensures the adoption of software and value realization that lead to successful renewals and business growth by leveraging AI-driven insights and a thorough understanding of customer environments and deployments to tailor adoption strategies. It proactively develops and orchestrates technical adoption planning (TAP) execution, creating and driving TAPs that align with customer goals to maximize technology investments and promote the full utilization of Cisco technologies, with designated Customer Success Specialists (CSS) typically owning TAP creation and pooled CSSs contributing architecture-specific expertise. The position facilitates alignment workshops to review adoption progress and drive expected customer outcomes and benefits, resulting in successful onboarding, adoption, and renewals. It drives scale impact by creating and delivering advanced technical enablement Expert Insight Series, stays current with the latest Cisco technologies including AI advancements, the competitive landscape, and industry trends to provide expert guidance, and participates in stakeholder workshops to articulate the state of the adoption business, including common barriers and market trends. The role is also involved in 1:1 customer engagements and community events, supporting Customer Experience Managers (CXMs) and Customer Success Managers (CSMs) in TAP and execution, while influencing executive and customer technical decision-making and fostering trusted advisory relationships. Additionally, the position collaborates with Customer Success Teams, Accounts, Sales, Partners, and others in GTM, leveraging AI and strategic insights to enhance customer adoption, address product concerns, and identify use cases that drive value and business outcomes. It acts as a technology evangelist between customers and Cisco's product teams, providing feedback to inform product development and enhancements, and leads collaboration with Product teams to address systemic product challenges identified by customers, driving usability and serviceability enhancements.
Responsibilities
Handles adoption for a moderately-sized portfolio of mid-sized customers, managing deployments that may span multiple products/solutions within a single technology area, using AI-powered analytics to monitor adoption and inform engagement strategies Drive adoption and expansion of Cisco Data Center Networking products (with main focus on Cisco ACI, Nexus Dashboard) by highlighting feature opportunities, winning use cases, and relevant strategies to customers Conducts standard or moderately customized technical enablement sessions across multiple products and audiences; organizes and runs moderately detailed demo setups for customer meetings, highlighting key features and ensuring follow-up for successful implementation Supports TAP execution by identifying adoption blockers, recommending relevant accelerators, and collaborating with CXMs to align activities with customer goals Maintains detailed customer profiles by gathering insights on their operations and goals, and applying AI-driven recommendations to suggest improvements in