Senior Technical Program Manager - ML/AI

Job summary

Responsibilities

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.

• Own and drive complex, cross-team ML/AI programs end-to-end — from scoping and planning through execution and launch — across model infrastructure, inference pipelines, AI…
• Partner with ML Engineers, Research Scientists, Product Managers, and Engineering Leaders to define program roadmaps, surface dependencies, and build execution plans that account…
• Coordinate cross-org launches for AI features that span ML infrastructure, application surfaces (Streamlit, Notebooks, Cortex Code), and core platform — ensuring all teams ship…
• Navigate the ambiguity of AI development — adapt program structures to handle model experimentation cycles, evaluation gates, accuracy/latency tradeoffs, and the non-linear…
• Establish program governance and reporting cadences — track milestones, risks, decisions, and engineering health with clarity and rigor, and proactively escalate to leadership…

What they're looking for

• Get It Done — You turn the inherent ambiguity of ML/AI into executable plans and deliver outcomes. You don't wait for perfect clarity — you create it.
• Own It — You treat your programs as your own end-to-end. You anticipate risks before they surface and drive resolution without being asked.
• Make Each Other the Best — You build bridges across ML research, engineering, and product. You create shared context and alignment that makes the whole organization move faster.
• Think Big — You see beyond the current sprint. You think about what it takes for Snowflake's AI capabilities to operate at 10x scale and help build the frameworks to get there.

Tech stack

• RAG
• Snowflake