Technical Program Manager (AI/ML)

Location: Hybrid in Menlo Park, California or Bellevue, Washington, United States

Base salary: $166,000–$249,000 per year; target compensation: $190,900–$286,350, plus a 15% target bonus and equity.

Company

Snowflake provides a cloud data platform and is expanding AI capabilities through model infrastructure, Cortex AI services, and AI-powered applications.

What you will do

• Own complex, cross-team ML/AI programs from scope and planning through execution and launch.
• Build roadmaps and execution plans with ML engineers, research scientists, product managers, and engineering leaders.
• Coordinate launches spanning ML infrastructure, Streamlit, Notebooks, Cortex Code, and the core platform.
• Establish governance, milestone tracking, risk management, reporting cadences, and leadership escalation.
• Drive alignment across engineering, product, design, infrastructure, security, legal, and compliance teams.
• Coordinate launch readiness, including model evaluation, benchmarking, safety reviews, and documentation.

Requirements

• 5+ years of technical program management experience at a cloud or AI-native technology company.
• Experience managing ML/AI programs across training, evaluation, deployment, and monitoring lifecycles.
• Technical depth in model architecture, inference infrastructure, evaluation metrics, and deployment tradeoffs.
• Experience managing programs spanning four or more engineering teams with shared dependencies.
• Strong communication, dependency management, risk management, milestone governance, and stakeholder alignment skills.
• Ability to work in a hybrid arrangement in Menlo Park, CA, or Bellevue, WA.

Nice to have

• Experience with LLM inference, fine-tuning, RAG architectures, or AI function platforms at production scale.
• Background in model serving infrastructure, GPU or accelerator resource management, or ML platform engineering.
• Familiarity with responsible AI, model observability, drift detection, and production quality metrics.
• Experience with Snowflake architecture, the data cloud ecosystem, or customer-facing AI features.

Culture & Benefits

• Values include ownership, decisive execution, cross-functional collaboration, and ambitious scaling of AI capabilities.
• Benefits include medical, dental, and vision coverage, 401(k), ESPP, generous paid time off, and equity in the form of RSUs.
• Compensation is determined using experience, skills, location, and internal equity considerations.