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Position: Member of Technical Staff

Preferred Role Location: Remote (US)

Stage: PE/VC Backed

Compensation: Competitive salary + meaningful equity

About Us

American Growth Insurance is a tech-enabled, client-focused insurance brokerage.

American Growth Insurance empowers local agencies to become scaled regional brokerages by embedding tailored technology tools and operational efficiency into their organizations. We’ve raised $70m in committed equity from Rockbridge Growth Equity and Atomic to tackle this opportunity.

Our team’s experience spans a variety of backgrounds, from industry veterans with 30+ years of experience building scaled insurance brokerages, to technical operators with years of experience leading AI / engineering teams at Shopify, Flexport and Opendoor.

The Role

As a Member of Technical Staff, you'll be a core technical contributor building high-impact systems from 0→1. You'll work closely with the founding team (and Atomic's seasoned product and recruiting support) to design, build, and ship products that define the company's technical foundation.

You'll play a deeply hands-on role in writing code, architecting systems, iterating with customers, and prototyping core products. As an early engineer, you'll set technical precedents, make key architectural decisions, and own end-to-end delivery of critical features that will shape the company's trajectory.

What You'll Be Responsible For

• Product Development: Own critical features of the engineering roadmap, driving rapid iteration based on user feedback and business needs.
• Agentic Automation: Build agentic browser automation that indexes pages and navigates complex portals. Design and implement core components of our AI-first insurance operations engine: agentic workflows, intelligent routing, and real-time data orchestration.
• AI Optimization: Craft precise prompting systems, fine-tune models, and develop evaluation frameworks to deliver consistent, reliable results from probabilistic systems. Develop and own prompting systems, model fine-tuning pipelines, eval frameworks, and toolchains for generative and retrieval-based LLM applications.
• Data Infrastructure: Architect and scale data systems that integrate first- and third-party sources to create unified, holistic customer profiles, unlocking smarter decision-making and personalization. Build scalable, modular APIs that allow customer- and team-facing applications to plug in and evolve.

What We're Looking For