Sales Engineer

🕒 March 3

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Gravwell

11 - 50 employees

Founded 2017

🔒 Cybersecurity

🔐 Security

☁️ SaaS

💰 $3M Seed Round on 2021-10

Cybersecurity • Security • SaaS

Gravwell is a unified observability and analysis platform that ingests large volumes of raw logs, applies schema-on-query, and enables real-time detection, threat hunting, alerting, investigation, and incident response. The platform emphasizes high-performance log analytics with unlimited ingest per indexer, a flexible structured query language for ad-hoc analysis, integrations with common security tools, and both commercial and community editions.

📋 Description

• Partner with Account Executives throughout the full sales cycle, from discovery through close, providing technical expertise and guidance. • Lead in-depth product demonstrations and proof-of-concept (POC) engagements tailored to customer use cases across security, observability, and IT operations. • Understand customer environments and translate technical requirements into compelling Gravwell solutions. • Respond to RFPs, RFIs, and security questionnaires, crafting detailed technical responses. • Build and maintain strong relationships with technical stakeholders, including IT architects, security analysts, and DevOps teams. • Collaborate with Product Management and Engineering to relay customer feedback and influence the product roadmap. • Contribute to internal enablement by developing demo environments, technical collateral, and best practices documentation.

🎯 Requirements

• 3–5+ years of experience in a Sales Engineering, Solutions Engineering, or similar customer-facing technical role. • Hands-on experience with Splunk (certifications a plus) or comparable platforms such as Elastic, Datadog, or IBM QRadar. • Strong understanding of at least one of the following domains: Security Operations (SIEM, SOAR, threat detection), IT Operations, or Observability. • Ability to communicate complex technical concepts clearly to both technical and executive audiences. • Experience with scripting or data manipulation (Python, SPL, JSON). • Comfortable working in a fast-paced, quota-driven environment. • Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.

🏖️ Benefits

• Flexible remote work setup with a strong support culture • Access to mission-critical projects and real-world security data • Work where your impact is direct, visible, and appreciated • Full autonomy and trust to solve problems that we may not have known we had • Help build a better analytics experience

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