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Senior Post-Sales Engineering Manager (AI Automation)

meeboss • United State
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Build and deploy AI agents for enterprise insurance brokerage clients, bridging customer needs with scalable platform solutions. Requires 3+ years of production engineering experience, strong Python/TypeScript skills, and hands-on post-sales delivery. Join a fast-growing Series A AI startup in San Francisco for impactful, customer-facing engineering.

Key Highlights
Own end-to-end customer engagements: requirements to deployed AI solutions within days
Split 70% hands-on coding (Python/TypeScript) and 30% customer scoping in a fast-paced startup
Two openings for collaborative ramp-up with a peer in a venture-backed AI automation company
Key Responsibilities
Own customer engagements from requirements to deployed AI solutions, typically within a week
Build and ship AI agents/automations tailored to large brokerage accounts using Python/TypeScript
Scope technical solutions directly with enterprise customers and deliver working versions quickly
Integrate customer-specific builds into the core platform for broader customer use
Collaborate with product and engineering teams to scale customer-driven features
Technical Skills Required
Python TypeScript Production Software Engineering
Benefits & Perks
$180K to $300K base salary plus competitive equity
On-site five days a week in San Francisco, CA
Open to visa transfers (including OPT and H-1B)
Nice to Have
AI/ML automations or agentic workflows built/deployed in production
Hands-on experience with LLM pipelines (OpenAI APIs, LangChain)
Experience in insurance or financial services

Job Description

On-site (San Francisco, CA) | $180K to $300K | 2 openings PLEASE INCLUDE YOUR LINKEDIN TO BE CONSIDERED!

About the company

A Series A AI company, founded in 2023, that automates the repetitive account management work inside commercial insurance brokerages: re-keying data into systems, chasing documents, and the rest of the busywork that pulls account managers away from clients.

Revenue grew into the millions within roughly a year, and the product is already in use at a large share of the biggest brokerages in the US. The company recently closed its Series A with well-known enterprise software investors and is still small, with fewer than 30 people working in person in San Francisco.

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