The role
- COMP
- $180K - $300K
- EQUITY
- Competitive equity
- LOCATION
- San Francisco
- WORKPLACE
- On-site
- EXPERIENCE
- 3 - 6 years
- VISA
- None, Visa transfers
- STACK
- Python, TypeScript, OpenAI, Langchain
- INDUSTRY
- AI, Enterprise, Insurance, Software Development
/roles — ROLE_440
Forward Deployed AI Engineer
Series A startup automating tedious account management work for large insurance brokerages with AI
The company
Series A startup building AI that removes the manual account management busywork at commercial insurance brokerages, from data entry to document chasing, for large enterprise brokers.
- STAGE
- growth-stage
- FUNDING
- $20M+ raised
- TEAM
- ~25 people
- FOUNDED
- 2023
- BACKING
- VC-backed
JD — the work
About the role
You would do hands-on engineering in front of customers, working with many of the biggest U.S. insurance brokers: you learn their workflows, build AI automations on the company's platform, and ship in days rather than months. The split is about 70% coding and 30% scoping with customers, often hearing a problem on a call and deploying an agent to fix it in the same week. Pre-sales, demos, and upselling sit with a separate team, and your work is folded back into the core product so it helps more than one customer in a trillion-dollar industry that has barely modernized.
What you'll do
- Lead each enterprise implementation from first requirements through a working, deployed solution
- Create automations and AI agents that deepen how the biggest strategic accounts use the platform
- Partner with customers after the sale to pin down their business problems and plan the technical approach
- Ship quickly, often delivering working solutions in the same week as the customer conversation
- Generalize what worked for one customer into the core product
- Help the engineering and product teams convert what customers teach you into features that scale
What they're looking for
- 3 to 6 years of engineering experience after college; not open to new grads
- Regular, comfortable interaction with enterprise customers as an engineer
- Full-stack range, able to ship both client-side and server-side code
- Experience at a Series A or later startup backed by top-tier VCs
- A degree from a highly selective university, such as an Ivy, MIT, or Stanford, or equivalent
- A strong ownership mindset: you create process rather than wait for it
Nice to have
- Agentic workflows or AI/ML automations you have taken to production
- Strong skills in Python, TypeScript, or both
- Domain knowledge from insurance or finance