• Build full-stack product features end-to-end: frontend UI, backend APIs/services, data pipelines, deployment and observability. • Own the integration strategy and connector architecture across multiple vendors and authentication patterns (OAuth/API tokens/read-only portal access/automated exports). • Design and implement data ingestion and processing primitives: retries, idempotency, backfills, schema evolution, and anomaly detection. • Create a flexible canonical data model and mapping layer that can normalize structural + semantic differences across systems (e.g., different definitions of revenue/net sales/business day). • Build the metrics/semantic layer that powers product experiences and deterministic tool outputs (numbers must be correct and auditable). • Implement data quality and validation workflows so failures are observable and fixable (quarantine/error surfacing instead of silent wrongness). • Make sound build vs buy recommendations for integration tooling and infrastructure (unified APIs, managed ETL, warehouses, observability, etc.). • Work directly with the founder and pilot partners to unblock access issues, validate data, and iterate quickly.