Neon Health

Staff Software Engineer builds and leads projects in a healthcare automation platform using Node, TypeScript, Python, focusing on system design, APIs, and distributed systems. Requires 4-7 years experience, self-direction, and ownership in a scaling startup environment.

Drives new business and expands relationships with enterprise healthcare customers by owning full sales cycle, demos, and implementations of Neon's automation platform. Requires enterprise SaaS sales experience, technical literacy for IT discussions, and consultative selling skills.

Leads engineering team to execute product delivery at startup speed, recruits top talent, scales infrastructure, and aligns with business goals in enterprise SaaS/AI startup. Requires proven leadership in high-growth environments.

Senior individual contributor leading demand generation campaigns, growth experiments, and GTM strategy for enterprise SaaS startup. Requires hands-on experience scaling from seed to growth stage with enterprise marketing expertise.

Leads technical implementations and adoption of AI automation platform for enterprise healthcare customers. Translates needs to engineering specs, diagnoses issues, manages programs, and drives expansion while building executive relationships.

Serves as the CEO's right hand, driving company growth through strategy, execution of initiatives, cross-functional coordination, and high-impact prioritization in a hypergrowth startup.

Reviews AI agent outputs like phone call transcripts and recordings to identify issues, label them, and suggest improvements for better performance in healthcare automation workflows. Requires detail-orientation, speed, rigor, and comfort with technical systems in fast-paced environments.

Builds GTM engine through content creation, outbound campaigns (Apollo/Outreach), growth systems (SEO/paid ads), events, and automation experiments to drive pipeline and revenue for healthcare automation startup.

Builds and debugs AI agent infrastructure for healthcare automation, including prompt engineering, runtime issue tracing, evaluation datasets, simulation tooling, data pipelines, and observability dashboards. Requires 2-7 years experience with production LLMs/AI agents and TypeScript proficiency.