Customer Experience Customer Success Technical Leader

Cisco Customer Experience Customer Success Technical Leader (Technical Account Manager : Splunk ES)

This is a remote role and can be performed anywhere in the United States.

Are you looking to make a measurable impact? As a Cisco Customer Experience Customer Success Technical Leader (Technical Account Manager : Splunk ES), you will serve as a pivotal partner to our most important customers. You will bring strategic technical mentorship to the global stage, helping customers optimize their Splunk environment while simultaneously acting as the "voice of the customer" to influence our product roadmap.

You are a self-motivated expert who thrives in evolving environments, passionate about guiding customers through their journey to unlock the full potential of Splunk.

• Strategic Adoption: Lead long-term engagements through consistent touchpoints, strategic guidance, and the development of comprehensive customer success plans.
• Technical Excellence: Provide high-quality guidance on use-case development, configuration, and optimization, focusing on Enterprise Security (ES) and security applications like Splunk User Behavior Analytics (UBA).
• Problem Solving: Tackle complex technical challenges, proactively identifying and resolving issues before they impact the customer.
• Collaboration: Work cross-functionally with Customer Success Managers, Sales Engineers, and the broader Splunk ecosystem to ensure a unified customer experience.
• Operational Scale: Contribute to the creation of standard processes and procedures to drive service excellence and automate key functions.
• Advocacy: Represent customer needs internally, ensuring their feedback directly informs our product innovation.

• Splunk Proficiency: Deep technical knowledge of Splunk Enterprise Security (ES) configuration, administration, and development.
• Trusted Advisor: Ability to build deep partnerships, manage complex negotiations, and resolve conflicts with grace.
• Splunk Architect Certification

• Core Skills: Strong command of Search Processing Language (SPL); experience developing and optimizing correlation and risk-based alerting rules.
• Security Frameworks: Expertise in Assets and Identities, Threat Intelligence, Notable Events, Adaptive Response, and Risk-based Analytics.
• Data Management: Understanding of the Common Information Model (CIM) and experience with data onboarding, including forwarding architecture and technical add-ons.
• Cybersecurity Domain: Solid foundation in security operations, forensics, threat hunting, insider threats, and compliance.
• Infrastructure: Understanding of enterprise architecture across on-premise and Cloud environments (AWS, Azure, GCP).
• Travel: Up to 20% travel may be required for customer-facing activities.