Cribl
Sales Engineer, Seattle and Pacific Northwest
Remote - Seattle, Washington (Remote)From $190kfull-timemidAdded today
About this role
Cribl seeks a Sales Engineer for the Seattle/Portland region to help enterprise customers discover the value of its AI telemetry platform. You'll conduct product demos, support proof-of-concept engagements, and translate technical capabilities into business outcomes for Fortune 100 companies.
What you'll do
- Demonstrate Cribl's platform capabilities and address customer questions during sales calls
- Guide customers through proof-of-concept implementations and technical evaluations
- Help articulate the business value of Cribl's telemetry solutions to prospective customers
- Document use cases and create content for blog posts and product documentation
- Travel up to 30% within the Pacific Northwest region
- Occasionally work outside standard hours to support multiple time zones
What they're looking for
- Sales engineering or solutions consulting experience
- Knowledge of logs, metrics, and IT operations
- Cybersecurity and SIEM domain expertise
- Product demonstration and technical communication
- Proof-of-concept project management
- Remote collaboration and self-direction
- Data pipeline and telemetry infrastructure understanding
- Customer-facing presentation skills
Benefits
- Competitive base salary with commission eligibility
- Health, dental, and vision insurance
- 401(k) and equity participation
- Paid time off and paid holidays
- Fertility treatment benefits
- Short-term disability and life insurance
- Remote-first work environment
Opens the official application on the employer’s site. No login required.
Cribl
Cribl builds an AI-powered telemetry platform for processing and analyzing enterprise data at scale. The company is hiring backend engineers to develop core distributed systems and sales engineers at various levels to drive adoption among enterprise customers.
- Website
- cribl.io
Likely interview questions
- Tell us about your experience with sales engineering or professional services—how did you translate technical concepts into customer value?
- What's your familiarity with observability, logs, metrics, and IT operations, and how have you applied that knowledge in a sales or customer-facing role?