Teams at FutureFit AI

Own the company’s operating cadence, including management meetings, OKR and metrics tracking, board and investor reporting, risk registers, compliance calendars, and contract operations. Review standard agreements, route complex matters to counsel, maintain repositories and obligation trackers, and manage vendor onboarding and corporate records in Carta. Support strategic leadership projects, company gatherings, and decision follow-through across a remote SaaS organization.

Build and ship production AI products, including LLM coaching experiences, agentic workflows, retrieval and orchestration systems. Develop predictive, classification, ranking, and recommendation models; establish evaluation and quality processes; create trusted data pipelines and knowledge sources; and integrate AI with enterprise systems. The role requires strong ownership, safety-conscious engineering, evidence-based recommendations, and collaboration across Engineering, Product, and Data leadership.

Lead assessment, redesign, and hands-on implementation of data pipelines, ML workflows, and platform infrastructure. Produce prioritized system designs, harden production pipelines, improve observability, reliability, and data quality, and mentor the data team.