Solutions Engineer, Splunk

Role overview

Guide enterprise customers through technical evaluations of a data analytics platform, helping them improve threat detection, service reliability, and business insight. This pre-sales role combines customer discovery, solution design, demonstrations, and close partnership with sales teams to earn technical confidence and expand platform use across security and observability.

Responsibilities

- Lead discovery with practitioners, architects, and technical leaders; turn business needs into technical requirements. - Design and deliver tailored demonstrations, workshops, whiteboard sessions, and proofs of value. - Guide opportunities through the technical sales cycle, coordinating internal specialists and partners as needed. - Identify opportunities to extend adoption across data analytics, security monitoring and response, and application or infrastructure observability. - Explain competitive differences credibly and build trusted relationships with technical stakeholders. - Share customer and market feedback, reusable demonstrations, and effective practices with product and sales teams.

Requirements

- At least six years of experience in pre-sales engineering, solutions architecture, or technical consulting. - Experience with a log management, security information and event management, or observability platform in large-scale data environments. - Knowledge of security threat detection or observability, such as application performance or infrastructure monitoring. - Ability to connect complex technical concepts to business outcomes for both engineers and executives. - Strong presentation skills, including facilitating technical workshops and whiteboard sessions. - Authorization to work in the United States; sponsorship is not available. The role can be based in Illinois, Wisconsin, or Minnesota.

Nice to have

- Platform certification, cloud experience, or familiarity with tools such as Elastic, Datadog, Dynatrace, Microsoft Sentinel, or CrowdStrike. - Knowledge of microservices, containers, Kubernetes, AI/ML workloads, scripting, APIs, data modeling, or security frameworks such as MITRE ATT&CK and NIST. - Willingness and ability to travel within the assigned territory for customer work.