Senior Solutions Architect - AI Observability & Enterprise SaaS

Jobot

Pleasanton (CA)

On-site

USD 300,000 - 330,000

Full time

22 hours ago
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Benefits offered by this job

Medical, Vision, Dental
401(k) plan
Free lunches & espresso

Job summary

Jobot is seeking a Senior Solutions Architect in Pleasanton, CA to partner with prospects, craft tailored demos, and drive PoV engagements through the sales cycle. You will collaborate with Product and Engineering to influence direction and create scalable assets while building the Solutions Engineering team.

The role demands 7+ years in technical pre-sales or related fields, deep knowledge of SRE/DevOps, cloud platforms, and strong communication to engage both technical and executive

Qualifications

  • 7+ years in technical pre-sales, solutions architecture, or customer-facing engineering roles supporting enterprise SaaS solutions.
  • Background in vAI, Observability, AIOps, automation, and enterprise operations.
  • Master's degree in Engineering preferred.

Responsibilities

  • Partner with prospective customers to understand technical requirements and deliver tailored product demonstrations.
  • Lead PoV engagements from discovery through implementation with measurable business and technical outcomes.
  • Serve as trusted advisor across sales process; collaborate with Product and Engineering to drive customer success and scalable technical assets.
  • Help build and grow the Solutions Engineering function in a high-growth startup.

Skills

Technical pre-sales
Solutions architecture
Customer-facing engineering
SRE/DevOps
Kubernetes
AWS/Azure/GCP
Observability
AIOps
PoV engagements
Communication
Startup environment
Scripting (Python/Terraform)

Education

Masters in Engineering

Tools

Terraform
Python
APIs

Job description

Jobot is seeking a Senior Solutions Architect in Pleasanton, CA to partner with prospects, craft tailored demos, and drive PoV engagements through the sales cycle. You will collaborate with Product and Engineering to influence direction and create scalable assets while building the Solutions Engineering team.

The role demands 7+ years in technical pre-sales or related fields, deep knowledge of SRE/DevOps, cloud platforms, and strong communication to engage both technical and executive

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