Senior AI Observability Solutions Architect
Jobot
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Benefits offered by this job
Job summary
Jobot is seeking a Senior Solutions Architect in the United States (Pleasanton, CA area) to understand customer technical requirements and deliver tailored product demonstrations and PoV engagements. You will collaborate with Product and Engineering to drive customer success and scalable technical assets while growing the Solutions Engineering function.
You will lead PoV engagements from discovery through implementation, leveraging Kubernetes and cloud platforms (AWS/Azure/GCP) and building
Qualifications
- 7+ years in technical pre-sales, solutions architecture or customer-facing engineering for enterprise SaaS.
- Experience in vAI, Observability, AIOps, automation, and enterprise operations.
- Master's degree in Engineering preferred.
- Track record of meeting or exceeding sales and performance targets.
- Strong foundation in SRE/DevOps and infra tech; hands-on in Kubernetes, cloud platforms, observability, incident response or cybersecurity.
- Proven ability to lead PoV engagements from discovery to implementation with clear outcomes.
- Excellent communication to engage technical teams and executives; capable of tailoring messages.
- Experience building demos/integrations/automation with Python, APIs, Terraform or similar.
Responsibilities
- Partner with customers to understand requirements and deliver tailored product demos and PoV engagements.
- Collaborate with Product and Engineering to drive customer success and product direction.
- Develop scalable technical assets and help grow the Solutions Engineering function.
- Serve as trusted advisor through the sales process and post-sale support.
- Build and maintain technical demos and integration scripts.
Skills
Education
Tools
Job description
Jobot is seeking a Senior Solutions Architect in the United States (Pleasanton, CA area) to understand customer technical requirements and deliver tailored product demonstrations and PoV engagements. You will collaborate with Product and Engineering to drive customer success and scalable technical assets while growing the Solutions Engineering function.
You will lead PoV engagements from discovery through implementation, leveraging Kubernetes and cloud platforms (AWS/Azure/GCP) and building
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