Senior Technical Program Manager - ML/AI
Snowflake · US-CA-Menlo Park
About this role
At Snowflake, we’re powering the era of the agentic enterprise. We’re looking for AI-native thinkers who are energized by reinventing how work gets done—using AI as a high-trust collaborator, moving fast with an experimental mindset, and delivering outcomes in dynamic environments. ## 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. - Lead programs 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 roadmaps, surface dependencies, and build execution plans that account for ML/AI uncertainty and iteration cycles. - Coordinate cross-org launches for AI features spanning ML infrastructure, application surfaces (Streamlit, Notebooks, Cortex Code), and core platform—ensuring teams ship cohesively and on time. - Navigate ambiguity in AI development by adapting program structures for experimentation cycles, evaluation gates, and accuracy/latency tradeoffs. - Establish program governance and reporting cadences; track milestones, risks, decisions, and engineering health with clarity and rigor, escalating to leadership when intervention is needed. - Drive cross-functional alignment across ML/AI engineering, product, design, infrastructure, security, and legal/compliance for AI feature launches, model deployment, and responsible AI practices. - Identify and resolve systemic execution bottlenecks by designing lightweight, tooling-backed workflows that improve 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 tied to business outcomes. ### Our ideal Senior TPM — ML/AI **Required** - 5+ years of technical program management experience at a cloud or AI-native technology company, owning cross-team programs end-to-end. - Demonstrated experience with ML/AI programs and the ML development lifecycle (training, evaluation, deployment, monitoring). - Strong technical depth 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 and structure execution around experimentation cycles. - Experience managing programs spanning 4+ engineering teams with competing roadmaps and shared dependencies. - Excellent communication skills—synthesizing complex technical/research concepts into clear, actionable narratives for leadership 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. - Familiarity with responsible AI practices (evaluation, bias detection, safety review, compliance workflows). - Experience with Snowflake’s architecture or data cloud ecosystem. - Working knowledge of ML observability (mon
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