Overview
Build, scale, and lead a high-performing team of customer-embedded Forward Deployed Solution Engineers working on AI deployments, cloud architectures, and enterprise systems for Cisco-Splunk's strategic global customers.
What you'll do
- Build, scale, and lead a high-performing team of customer-embedded Forward Deployed Solution Engineers operating across advanced AI deployments, cloud architectures, and mission-critical enterprise systems.
- Accelerate customer business outcomes, compress time-to-value, and deliver tangible technical proof that drives durable account retention and customer expansion.
- Hire, develop, and mentor top-tier engineering talent while fostering a culture of technical rigor, continuous learning, customer obsession, and extreme ownership.
- Partner directly with customer C-level technology executives, enterprise architects, and Cisco/Splunk product engineering leadership to translate real-world deployment telemetry into accelerated roadmap innovations.
What you'll need
- Minimum 10 years of professional experience in customer-facing pre-sales engineering, post-sales architecture, or professional services deploying distributed software and enterprise systems architectures (or Master's degree plus 8 years / PhD plus 5 years).
- Minimum 5 years of direct people management experience leading pre-sales, post-sales, or customer-embedded technical engineering teams driving business outcomes.
- Minimum 3 years of experience architecting, deploying, or managing artificial intelligence (AI), machine learning (ML), or enterprise data platform solutions in production environments.
- Minimum 3 years of experience designing and deploying distributed cloud-native, hybrid, or event-driven system architectures.
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline (or equivalent practical professional experience).
Nice to have
- Experience leading multi-level or matrixed technical organizations, with a demonstrated ability to build, scale, and inspire high-performing engineering teams.
- Minimum 3 years of experience with Generative and Agentic AI architectures, machine learning platforms, container orchestration (Kubernetes), and event-driven data platforms.
- Minimum 5 years of experience architecting solutions utilizing Cisco networking/security portfolios, the Splunk Data Platform, or equivalent premier enterprise software suites.
- Demonstrated ability to establish trusted advisory relationships with customer C-level technology executives (CTOs, CIOs, CDOs) and lead executive technical briefings.
- Active industry certifications in Artificial Intelligence or Cloud platforms, paired with proven experience implementing customer-embedded forward-deployed engineering methodologies.
Details
- Role can be performed anywhere in the United States.
- This job description does not apply to employees in Austria, Belgium, France, Germany and Netherlands.
- Starting salary range $320,600 to $407,100 (U.S./Canada), excluding incentive compensation, equity, and benefits; New York City Metro Area $320,600 to $468,200; Non-Metro New York and Washington state $307,600 to $447,000.
Read the full description and apply on the company’s own careers page.