Salary
💰 $135,000 - $205,000 per year
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesNode.jsPython
About the role
- Act as a trusted technical advisor throughout the sales cycle, demonstrating how AI can be monitored and secured.
- Deliver compelling product demonstrations and address technical questions in early customer engagements.
- Support customers during proof-of-concept projects, ensuring they realize measurable value.
- Document innovative customer use cases and contribute to blog posts, product guides, and technical documentation.
- Collaborate with a global team in our remote-first environment.
Requirements
- 5+ years of experience with enterprise software solutions
- AI & LLM knowledge
- Understanding of training methods, fine tuning, and RAG application architectures
- Understanding of Sensitive information disclosure (PII Leakage)
- Knowledge of APIs, HTTP request/response structure and token based authentication
- Excellent problem resolution skills
- Experience with log management, SIEM, and EDR is a significant bonus
- Familiarity with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
- Remote-friendly and flexible work culture
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AILLMtraining methodsfine tuningRAG application architecturesAPIsHTTP request/response structuretoken based authenticationlog managementSIEM
Soft skills
problem resolution