Snowflake

Snowflake

Senior Technical Program Manager - ML/AI

US-CA-Menlo Park · Senior

Sponsorship not specified$166k-$249kDetected 10 days ago
SnowflakePlatform EngineeringMachine LearningLLMsRAGA/B TestingResearchLeadershipCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 84 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 74%

Of 57 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 502 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

123 transfer filings in the last year, covering 968 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Responsibilities

  • Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
  • We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Requirements

  • 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

Nice to have

  • 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 - model evaluation, bias detection, safety review, and compliance workflows
  • Experience with Snowflake's architecture or data cloud ecosystem
  • Working knowledge of ML observability - monitoring model performance, drift detection, and production quality metrics
  • Background in launching customer-facing AI features where accuracy, latency, and cost are critical tradeoffs
  • Think Big - You see beyond the current sprint.

Compensation

  • Snowflake is committed to pay equity and transparency. Actual compensation will be determined based on factors including relevant experience, skills, location, and internal equity.
  • Base Salary RangeTotal Target Compensation$166,000 - $249,000$190,900 - $286,350
  • In addition to base salary and bonus (15% target), this role is eligible for equity in the form of RSUs and a comprehensive benefits package including medical, dental, vision, 401(k), ESPP, generous PTO, and more.
  • For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Company info

  • At Snowflake, we are powering the era of the agentic enterprise.
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This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.