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You will lead technical pre-sales work, customer deployments, and the design of pilots to demonstrate product value. Additionally, you will translate insurance workflows into Python scripts and collaborate with product teams to inform the roadmap.
Join a B2B AI team at the intersection of sales, product, engineering, and insurance brokerage customers. You will lead technical pre-sales work and customer deployments, helping prospects see value while shaping how the platform is configured and adopted.
Partner with sales representatives to design and deliver customer pilots that demonstrate product value.
Translate insurance workflows into extensible Python scripts, agent skills, and deployment architecture.
Configure and validate integrations with agency management systems, CRMs, carrier portals, and other data sources.
Lead technical discovery, demos, and deployments, supporting customer enablement and adoption.
Share customer feedback with product and engineering teams to inform the roadmap.
Improve deployment practices so lessons from each customer engagement can be reused.
Two to six years of experience in a technical pre-sales role, such as Sales Engineer or Solutions Engineer, partnering with account executives to close deals.
Hands-on experience with discovery, demos, proofs of concept, or pilots, and the ability to explain technical concepts clearly to non-technical buyers and executives.
Proficiency in Python, API and integration configuration, and regular use of AI coding tools.
Experience owning technical work across multiple concurrent accounts or opportunities.
Background in B2B SaaS or AI, ideally in a startup or fast-paced product environment; insurance, brokerage, or vertical SaaS exposure is beneficial.
Base salary: $150,000 to $200,000 annually. Visa sponsorship is not available.
Remote, with San Francisco, California as the primary location.
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