Teams at Fiscal.ai

Own the systems that transform public financial disclosures into structured, API-ready datasets for institutional investors. Responsibilities include designing classification systems, creating normalization rules, researching jurisdictional disclosure requirements, refining LLM prompts and logic, validating data accuracy with QA and engineering, prioritizing coverage opportunities, and supporting new data capabilities. The role requires strong finance and investing knowledge, data analysis skills, systems thinking, and comfort with ambiguity.

Own the full-cycle recruitment process for engineering, AI, machine learning, and data roles. Responsibilities include sourcing passive candidates, conducting screens, partnering with hiring managers, coordinating interviews, managing offers, ensuring strong candidate experiences, maintaining ATS data, tracking recruiting metrics, and building technical talent pipelines and employer brand initiatives.

Generate qualified sales pipeline through outbound prospecting, inbound lead qualification, account research, discovery-call booking, CRM management, and sales-team support. The role targets institutional investors and fintech companies, requiring consistent activity performance, accurate records, strong communication, resilience, and collaboration with account executives and partnership representatives.