Jobs at ODAIA Intelligence Inc.

Build and own end-to-end product capabilities across frontend and backend systems. Implement responsive React + TypeScript UIs, design and operate APIs and backend services (Python/TypeScript), deploy and run containerized apps on AWS/Kubernetes, integrate analytical data sources, use observability and CI/CD practices, and collaborate with product, design, and ML teams to ship reliable, incremental features.

Lead end-to-end development of ODAIA's AI-powered commercial intelligence features. Build React/TypeScript frontends, design and operate backend APIs and services, integrate data/ML systems, drive architecture decisions, mentor engineers, and improve testing, observability, and code quality.

Design and implement scalable data ingestion and onboarding pipelines, build automation and Claude-powered tooling to reduce production MTTR, integrate third‑party sources (Veeva/Salesforce), design APIs and warehouse schemas, and collaborate cross-functionally to deliver production-grade data solutions on AWS and Snowflake.

Lead FP&A and financial operations: build complex models and KPIs, manage budgeting/forecasting, oversee month-end reporting and external bookkeepers, run year-end audits and investor/Board reporting, own financial tech stack and identify efficiency/AI opportunities, and partner cross-functionally to drive revenue accountability and operational efficiency.

Build and run ODAIA's legal function: draft, negotiate, and close enterprise SaaS, data licensing, MSA and DPA agreements; translate AI governance into internal policy; architect privacy and data-governance across PIPEDA/HIPAA; manage equity, board resolutions, vendor agreements; partner with Sales and Engineering to enable fast, compliant contracting and advise the executive team and Board on legal and risk matters.

Serve as a trusted advisor translating commercial and prescribing data into insight-led recommendations for life sciences clients. Lead hypothesis-driven analyses, launch and targeting strategy, data maturity assessments, and client-facing strategic engagements. Drive adoption of AI-enabled commercial workflows, measure ROI, and manage multi-workstream projects across cross-functional teams.