Sales Engineer

Cooper AI•San Francisco, CA

About The Position

Cooper AI is seeking a Sales Engineer to join their team. This role is crucial at the intersection of Sales, Product, and brokerage customers, influencing how Cooper's AI platform is sold, deployed, and utilized. It's a highly technical, customer-facing position requiring Python programming, ownership of skill architecture for customer agents, end-to-end integration validation, and close collaboration with users, Product, and Engineering. The ideal candidate thrives in ambiguous environments, balancing hands-on execution with structured thinking.

Requirements

3+ years of relevant experience in a technical customer-facing role at a B2B SaaS company ideally as a sales engineer, solutions engineer, or forward-deployed engineer (similar enterprise AI/SaaS deployment backgrounds also welcome)
Outcome ownership: Track record driving multi-stakeholder implementations to go-live
Python proficiency: Skilled with automation and custom scripting, deep understanding of APIs, and able to design and deploy end-to-end integrations that solve complex business workflows
AI-native: Comfortable building with coding agents like Claude Code/Cursor etc.
Strong communication: Connects business problems to Cooper’s solutions for technical and non-technical audiences alike.
Bias for action with high EQ : Represents the buyer in a leadership meeting and debugs with a frustrated CSR the same afternoon
Comfort with ambiguity: Shapes solutions as much as you implement them; defaults to first-principles thinking

Nice To Haves

Experience building with LLMs and designing autonomous agent workflows is a significant advantage
Commercial insurance, insurtech, or financial services background
Familiarity with brokerage tech stacks (AMS, carrier portals, data pipelines)
Early-stage startup experience

Responsibilities

Partner with Sales to design and deploy customer pilots that prove Cooper's value to prospects
Translate insurance workflows into agent resources: write extensible Python scripts, author skills and own the technical architecture for every customer deployment
Configure integrations across customers’ technology stacks e.g., AMS & CRMs, Carrier Portals, and data sources
Run tight feedback loops between Sales, Product, and Engineering, turning live customer signal into roadmap influence
Lead deployments end-to-end from technical discovery through activation, serving as a trusted technical partner who drives user enablement and adoption
Shape and refine the deployment playbook so every customer win compounds into leverage for the next