Gravwell
Ingest everything, compromise nothing. Data analytics at scale with predictive pricing.
Sales Engineer
Location
United States
Posted
2 days ago
Salary
$220K - $250K / year
Bachelor Degree3 yrs expEnglishPythonSplunk
Job 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.
Job 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
