AI Sales Engineer: Insurance Tech & Deployments

Cooper

San Francisco (CA)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Competitive salary & equity
Medical, dental & vision insurance
Monthly wellness stipend
401k with company match
Unlimited PTO
Company sponsored lunch 5x per week

Job summary

Cooper is seeking a Sales Engineer in San Francisco to own the intersection of Sales, Product, and brokerage customer deployments. You’ll write Python, own the agent skill architecture, validate integrations end-to-end, and balance hands-on execution with structured thinking.

Ideal candidates have 3+ years in a technical, customer-facing role at a B2B SaaS company, strong API and integration experience, and comfort working with AI-native workflows.

Qualifications

  • 3+ years in a technical customer-facing role at a B2B SaaS company or similar
  • Experience translating customer workflows into deployable integrations
  • Proficiency in Python and building end-to-end integrations

Responsibilities

  • Partner with Sales to design and deploy customer pilots
  • Write Python scripts and define the skill architecture for deployments
  • Configure integrations across customers’ tech stacks (AMS, CRMs, data sources)
  • Lead deployments end-to-end from discovery to activation
  • Provide technical enablement and drive adoption with customers
  • Refine deployment playbooks for repeatable customer wins

Skills

Python scripting
LLM agent workflows
Technical customer-facing
Cross-functional collaboration
Clear technical communication

Tools

AMS
Carrier Portals
CRMs
APIs

Job description

Cooper is seeking a Sales Engineer in San Francisco to own the intersection of Sales, Product, and brokerage customer deployments. You’ll write Python, own the agent skill architecture, validate integrations end-to-end, and balance hands-on execution with structured thinking.

Ideal candidates have 3+ years in a technical, customer-facing role at a B2B SaaS company, strong API and integration experience, and comfort working with AI-native workflows.

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