Leads FP&A, including budgeting, forecasting, long-range planning, integrated financial modeling, SaaS metrics, scenario analysis, executive reporting, and board materials. Partners with business leaders on KPIs and strategic decisions while supporting fundraising, M&A, and partnerships. Improves FP&A systems and processes through automation and AI. Requires extensive finance experience, startup expertise, advanced modeling skills, and strong executive communication.

Designs, builds, and operates AI-powered services within microservice and distributed architectures. Responsibilities include developing reliable AI agents, integrating tools and LLMs, debugging production issues across services and infrastructure, improving scalability and observability, and contributing to architectural decisions. The role requires strong Go development, experience with cloud infrastructure and Kubernetes, and effective use of AI coding agents.