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. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

AS A SENIOR TECHNICAL PROGRAM MANAGER — ML/AI, YOU WILL

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 functions, Cortex AI services, and AI-powered application features

Partner with ML Engineers, Research Scientists, Product Managers, and Engineering Leaders to define program roadmaps, surface dependencies, and build execution plans that account for the unique uncertainty and iteration cycles inherent to ML/AI development

Coordinate cross-org launches for AI features that span ML infrastructure, application surfaces (Streamlit, Notebooks, Cortex Code), and core platform — ensuring all teams ship cohesively and on time

Navigate the ambiguity of AI development — adapt program structures to handle model experimentation cycles, evaluation gates, accuracy/latency tradeoffs, and the non-linear nature of ML research-to-production timelines

Establish program governance and reporting cadences — track milestones, risks, decisions, and engineering health with clarity and rigor, and proactively escalate to leadership when programs need intervention

Drive cross-functional alignment between ML/AI engineering, product, design, infrastructure, security, and legal/compliance teams on AI feature launches, model deployment, and responsible AI practices

Identify and resolve systemic execution bottlenecks — design lightweight processes and tooling-backed workflows that improve engineering velocity without adding overhead

Own AI launch readiness — coordinate model evaluation sign-off, performance benchmarking, safety review, and documentation across engineering, product, and trust/safety teams

Represent ML/AI programs to senior leadership with crisp, data-backed status updates and strategic recommendations that connect program execution to business outcomes

OUR IDEAL SENIOR TPM — ML/AI WILL HAVE

Required

5+ years of technical program management experience at a cloud or AI-native technology company, with a track record of owning cross-team programs end-to-end

Demonstrated experience with ML/AI programs — you understand the ML development lifecycle (training, evaluation, deployment, monitoring) and can manage programs around its unique iteration patterns and uncertainty

Strong technical depth — ability to engage meaningfully with ML engineers and research scientists on model architecture, inference infrastructure, evaluation metrics, and deployment tradeoffs

Proven ability to operate in ambiguity — ML/AI programs don't follow predictable timelines; you know how to structure execution around experimentation cycles and adapt plans as signals emerge

Experience managing programs spanning 4+ engineering teams with competing roadmaps and shared dependencies

Excellent communication skills — you synthesize complex technical and research concepts into clear, actionable narratives for leadership, product, and cross-functional audiences

Strong program management fundamentals: dependency management, risk frameworks, milestone governance, stakeholder alignment, and escalation discipline

Preferred

Experience with LLM inference, fine-tuning, RAG architectures, or AI function platforms at production scale

Background in model serving infrastructure, GPU/accelerator resource management, or ML platform engineering