Technical Program Manager Data - AI/LLM, Data Operations

This Senior Technical Program Manager role owns and drives complex, cross-team ML/AI programs end-to-end at Snowflake, from scoping and planning through execution and launch. The role covers model infrastructure, inference pipelines, AI functions, Cortex AI services, and AI-powered application features, partnering with ML Engineers, Research Scientists, and Product Managers. Responsibilities include coordinating cross-org launches, establishing program governance, and owning AI launch readiness including model evaluation and safety review.

This Technical Program Manager role owns the systems, data, reporting, and governance backbone for OpenAI's Infrastructure Operations. The role involves establishing operating cadences, defining data models and reporting standards, and building dashboards for operational health and delivery pipeline status. It requires translating leadership priorities into executable programs and owning the 1P+3P delivery-tracking layer across sites and partners.

This role leads technical program delivery for enterprise customers, acting as the technical voice of Cohere across strategic accounts. The TPM will manage complex AI solution deployments, coordinate cross-functional teams, and ensure on-time delivery while managing risks and dependencies. Requires 5+ years of technical program management experience with at least 2 years in customer-facing delivery of enterprise AI solutions.

This Technical Program Manager for AI Programs role drives the planning, coordination, and delivery of Caseware's AI roadmap across Firm and Solution portfolios. The TPM will turn fragmented AI work into a single trusted source of truth, act as a consistent unblocker, and manage AI launch programs end-to-end, partnering with product, engineering, design, and go-to-market teams to surface and resolve dependencies and give leadership clear visibility into AI initiatives.

Manages engagements with university clients, ensuring they derive value from Tracxn's platform. Focuses on training, support, and relationship building.

Leads customer success strategy and operations, ensuring client satisfaction and retention. Drives initiatives to enhance customer experience.

Leads backend development efforts, designing and implementing scalable systems. Mentors team members and ensures code quality.