Senior AI/ML Program Lead - Cross-Functional Delivery

Snowflake

Bellevue (WA)

On-site

USD 166,000 - 286,000

Full time

30 hours ago
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Benefits offered by this job

Equity
Bonus program
Medical/dental/vision
401(k)
PTO & holidays
Parental leave

Job summary

Snowflake is seeking a Senior Technical Program Manager — ML/AI to lead complex, cross-team ML/AI programs end-to-end across model infrastructure, inference pipelines, Cortex AI services, and AI-powered features.

You will partner with ML engineers, researchers, product managers and engineering leaders to define roadmaps, surface dependencies, and execution plans, balancing experimentation with timely delivery in a fast-moving environment.

Qualifications

  • 5+ years of technical program management at a cloud/AI company.
  • Understanding of ML lifecycle (training, evaluation, deployment, monitoring).
  • Ability to engage with ML engineers and researchers on models & infra.
  • Experience leading 4+ engineering teams with shared roadmaps.
  • Excellent communication for leadership and cross-functional audiences.

Responsibilities

  • Own and drive cross-team ML/AI programs end-to-end from scoping to launch.
  • Define roadmaps and execution plans with dependencies and risks.
  • Coordinate cross-org launches for AI features across infra and apps.
  • Navigate ML experimentation cycles, evaluation gates, and tradeoffs.
  • Establish governance, milestones, risks, and engineering health.
  • Drive alignment among ML/AI engineering, product, design, security, and legal.
  • Identify bottlenecks and design workflows to improve velocity.
  • Own AI launch readiness with model eval, performance, and safety reviews.
  • Report status and strategic recommendations to senior leadership.

Skills

Program management
ML/AI programs
Cross-team leadership
Communication skills
Ambiguity management
Risk management

Job description

Snowflake is seeking a Senior Technical Program Manager — ML/AI to lead complex, cross-team ML/AI programs end-to-end across model infrastructure, inference pipelines, Cortex AI services, and AI-powered features.

You will partner with ML engineers, researchers, product managers and engineering leaders to define roadmaps, surface dependencies, and execution plans, balancing experimentation with timely delivery in a fast-moving environment.

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