Top Tech Jobs & Startup Jobs

Owns cloud infrastructure, developer productivity, AI tooling, SRE, and production support for a rapidly scaling engineering organization. The role requires hands-on technical leadership, troubleshooting across databases, networking, compute, Docker, and Kubernetes, while building a platform team from two to five or six people. Responsibilities also include establishing on-call, SLA, SLO, and broader SRE practices, recruiting team members, and expanding infrastructure, developer productivity, and production support functions.

Own the Growth engineering organization, including lead acquisition across web, aggregators, social, paid, and organic channels, plus intake capacity through policy completion. Manage and grow the team from five to approximately ten engineers, provide career development, architect scalable Voice AI systems, partner with marketing, sales, and operations, remain hands-on with architecture and coding, and lead hiring in a high-growth environment.

Lead and build partner distribution channels that place insurance at mandatory customer moments. Close initial marquee partners, design economics, attribution, contracts and playbooks, measure partner-sourced outcomes, and hire and scale a team once the motion is proven. Operate cross-functionally with product, legal, compliance, and ops; be hands-on in deal execution and metrics reporting to the CEO.

Lead discovery and commercialization of new insurance verticals: identify emerging markets, validate opportunity, design end-to-end GTM motions, acquire first customers, codify repeatable processes, and hand off to teams while leveraging AI to scale work.

The role involves high-volume outbound and inbound calls to qualify and capture information from business owners seeking insurance solutions, focusing on speed and accuracy while setting opportunities for the sales team.

The role involves transforming informal knowledge into structured documentation for AI integration, training staff, and driving process adoption across operations.

The role involves tackling complex operational challenges, building systems, running analyses, and managing cross-functional initiatives to support the CEO in driving company growth and efficiency.

Build and maintain core infrastructure (databases, AWS, networking, CI/CD) powering thousands of concurrent AI operations. Own reliability (SLOs, on-call, incident response), observability, orchestration of agentic workloads, developer tooling to increase velocity, and evaluation systems measuring AI output quality and cost.

Build and ship AI-powered product features end-to-end across frontend, backend, agents, and evaluation systems. Embed with sales, service, and underwriting operators to identify problems, prototype rapidly, measure impact, and iterate. Own metrics and production outcomes, stay on the cutting edge of models and AI tooling, and present results to the company.

The Operating Memory Lead will document and structure knowledge across sales and operations using AI tools, creating clear operational guides to improve efficiency in a fast-paced startup environment.