You will serve as a core operating partner to leadership, managing high-priority initiatives and building essential business processes. This includes developing financial models, designing AI-driven workflows, and creating reporting rhythms to support company growth.
The Senior Accounting Manager will lead day-to-day accounting operations, build financial infrastructure, and establish internal controls to support company growth. They will manage the monthly close process, oversee revenue recognition, and define the AI-native finance tool stack.
You will build and execute outbound sequences across phone, email, and LinkedIn to target commercial insurance agencies. Additionally, you will qualify prospects, book discovery calls for the Account Executive team, and leverage AI tools to optimize prospecting workflows.
You will own the infrastructure and delivery platform, including cloud infrastructure, CI/CD, and observability for AI products. Your role involves turning infrastructure into code to ensure safe, fast, and reliable shipping for a single-tenant, SOC 2 compliant platform.
Own the full sales cycle from discovery to close for complex deals ranging from $25K to $500K ACV. Partner with leadership to shape the go-to-market motion and feed market intelligence back into product development.
Own the roadmap for data ingestion, enrichment, and pipeline products to transform unstructured inputs into actionable data. Partner with AI and engineering teams to design scalable workflows and drive integration strategies with external platforms.
Design and ship AI-enabled workflow experiences to simplify complex insurance operations for brokers and wholesalers. Partner with engineering and go-to-market teams to translate user pain points into scalable product decisions and measured business impact.
Deploy and tailor AI-powered workflows for insurance customers by integrating with agency management systems. Act as the technical bridge between clients and the core product team to turn real-world requirements into shipped systems.
Build intuitive, high-performance frontend experiences and reusable UI components for AI-powered insurance workflows. Collaborate with design and backend teams to translate Figma designs into seamless React applications.
Develop and deploy AI-powered solutions for insurance brokers, focusing on document review and quote comparison. Build and productionize scalable features across the full technical stack from backend systems to frontend experiences.
Build AI-powered features using LLMs, RAG, and semantic search to automate insurance workflows. Develop the backend services, data pipelines, and product UI necessary to turn AI capabilities into production-grade features.
Own the data plane by building ingestion pipelines and transformation layers to turn messy insurance data into clean datasets. Model and tune data across Postgres and ClickHouse to power analytics and AI products.
Own and manage the runtime infrastructure, including Kubernetes, GCP, and CI/CD pipelines for an AI-native platform. Focus on improving reliability, performance, and developer experience while leading incident response and on-call practices.
Lead the end-to-end design, build, and operation of AI-powered features across the backend and frontend. Drive technical standards, ensure code quality, and mentor junior engineers to maintain high velocity.
Lead the development of an AI-native platform for the insurance industry to automate manual workflows. Collaborate directly with founders and users to build and ship high-impact features from the ground up.
Own product and application security for a multi-tenant AI platform handling sensitive insurance data. Drive secure SDLC, manage cloud posture in GCP, and lead incident response and compliance efforts.
The IT Engineer will own internal systems, corporate IT, and identity management to ensure secure scaling. Responsibilities include managing device lifecycles, administering SaaS applications, and automating internal IT workflows.
Lead the architecture for major systems spanning AI, data, backend, and frontend while removing technical bottlenecks. Set engineering standards for reliability and performance and mentor senior engineers to raise the technical bar.
Own the end-to-end architecture of the data platform, including ingestion, transformation, and the analytical serving layer. Establish data engineering standards, mentor the team, and manage multi-tenant data modeling across Postgres and ClickHouse.
