Cribl
Sales Engineer, San Francisco (Enterprise)
Remote - San Francisco, California (Remote)From $182kmidAdded 1 month ago
About this role
Cribl seeks an Enterprise Sales Engineer in San Francisco to help customers realize the value of its AI-powered telemetry platform. You'll blend technical expertise with sales acumen to guide customers through demonstrations, proof-of-concepts, and implementation while documenting use cases.
What you'll do
- Demonstrate product capabilities and address customer questions during sales calls
- Help customers understand Cribl's value proposition in their environments
- Support customers through proof-of-concept phases
- Create blog posts and documentation highlighting use cases
- Travel up to 30% for customer engagements
- Occasionally work outside standard hours to support global time zones
What they're looking for
- Sales Engineering or Professional Services experience
- Knowledge of logs, metrics, and IT operations
- Security domain expertise
- Product demonstration and technical communication
- Remote work proficiency
- Customer relationship management
- Technical problem-solving
- Writing and documentation skills
Benefits
- Competitive base salary ($110,000–$182,000 USD) with sales commission eligibility
- Health, dental, and vision insurance
- 401(k) and equity participation
- Paid time off and paid holidays
- Fertility treatment benefit
- 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
- Can you walk us through your experience with telemetry, logs, metrics, or IT operations? How have you helped customers in these areas before?
- Tell us about a time you demoed a technical product to a non-technical stakeholder. How did you tailor your message to different audiences?