Senior Technical Program Manager – ML/AI

Snowflake

. Own and drive complex, cross-team ML/AI programs end-to-end from scoping and planning through execution and launch .

Posted 10/11/2026full-timeUnited StatesSenior💰 $166,000 - $249,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing complex ML/AI programs, including end-to-end execution, cross-team collaboration, and governance. Proficient in ML development lifecycle, model architecture, and program management fundamentals.

Highest-signal resume keywords

Technical Program ManagementML/AI Program OwnershipModel Architecture ExpertiseCross-Team CollaborationRisk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ML Development LifecycleModel EvaluationDeployment TradeoffsInference InfrastructureEvaluation MetricsLLM InferenceFine-TuningRAG ArchitecturesML ObservabilityCustomer-Facing AI Features

Soft Skills

Excellent CommunicationAbility to Operate in Ambiguity

Tools & Technologies

Cortex AI ServicesStreamlitNotebooksSnowflake ArchitectureGPU/Accelerator Resource Management

Industry Keywords

AI-Native TechnologyProgram GovernanceStakeholder AlignmentEngineering VelocityResponsible AI Practices

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
Coordinate cross-organization launches spanning ML infrastructure, Streamlit, Notebooks, Cortex Code, and core platform
Adapt program structures to model experimentation cycles, evaluation gates, accuracy/latency tradeoffs, and non-linear ML research-to-production timelines
Establish program governance and reporting cadences; track milestones, risks, decisions, and engineering health
Proactively escalate program issues to leadership
Drive alignment across ML/AI engineering, product, design, infrastructure, security, and legal/compliance teams
Identify and resolve systemic execution bottlenecks
Design lightweight processes and tooling-backed workflows to improve engineering velocity
Own AI launch readiness, including model evaluation sign-off, performance benchmarking, safety review, and documentation
Represent ML/AI programs to senior leadership with data-backed status updates and strategic recommendations

Requirements

What you’ll need

5+ years of technical program management experience at a cloud or AI-native technology company
Track record of owning cross-team programs end-to-end
Demonstrated experience with ML/AI programs
Understanding of the ML development lifecycle: training, evaluation, deployment, and monitoring
Strong technical depth in model architecture, inference infrastructure, evaluation metrics, and deployment tradeoffs
Ability to operate in ambiguity and structure execution around experimentation cycles
Experience managing programs spanning 4+ engineering teams
Excellent communication skills
Strong program management fundamentals, including dependency management, risk frameworks, milestone governance, stakeholder alignment, and escalation discipline
Experience with LLM inference, fine-tuning, RAG architectures, or AI function platforms at production scale preferred
Background in model serving infrastructure, GPU/accelerator resource management, or ML platform engineering preferred
Familiarity with responsible AI practices preferred
Experience with Snowflake's architecture or data cloud ecosystem preferred
Working knowledge of ML observability preferred
Background in launching customer-facing AI features preferred

Benefits

Comp & perks

Bonus (15% target)
Equity in the form of RSUs
Medical insurance
Dental insurance
Vision insurance
401(k)
ESPP
Generous PTO
Comprehensive benefits package