Teams at AlphaSense

Lead quality for the FinData portfolio by defining AI-first testing strategy, quality gates, and metrics. Architect scalable automation across data pipelines, model validation, APIs, and UIs; drive observability and performance practices; coach teams on shift-left quality and automation; support test planning, exploratory testing, and release gates to ensure reliable, data-driven delivery at scale.

Lead development and evolution of AlphaSense's financial data taxonomy and generation rules. Serve as subject-matter expert, align cross-functional teams, define requirements for new datasets, ensure AI/LLM compatibility, maintain documentation, and build scalable frameworks to expand and maintain high-quality structured financial data for capital markets users.

Support the Financial Data product by translating roadmap goals into engineering requirements, creating mockups and business logic, querying PostgreSQL/Snowflake/Athena for data insights, performing data validation and QA, documenting product features, coordinating cross-team prioritization, and contributing to release communications.