Snowflake
Snowflake
Snowflake teikia debesijos duomenų platformą, skirtą dideliu mastu saugoti, apdoroti ir analizuoti informaciją. Centralizuota architektūra padeda įmonėms sutelkti duomenis vienoje vietoje, efektyviai vykdyti sudėtingas užklausas ir palaikyti įvairius darbo krūvius, kai keičiasi jų poreikiai. Įmonės platforma aktuali debesijos kompiuterijos, duomenų, analitikos, konsultavimo ir rinkodaros technologijų srityse dirbantiems specialistams, o galimybės priklauso nuo komandų, kuriančių ir palaikančių šiuolaikinę duomenų infrastruktūrą.

Senior Technical Program Manager, ML/AI

Lead cross-functional machine learning and AI programs at Snowflake, from planning through launch. Coordinate platform infrastructure, AI product releases, governance, and responsible deployment.

Aprašymas

  • Drive complex machine learning and AI programs from initial scope and planning through delivery and launch.
  • Manage initiatives involving model infrastructure, inference pipelines, AI functions, Cortex AI services, and AI-powered applications.
  • Work with ML engineers, research scientists, product managers, and engineering leaders to set roadmaps, identify dependencies, and plan execution.
  • Coordinate launches across ML infrastructure, Streamlit, Notebooks, Cortex Code, and Snowflake’s core platform.
  • Shape program plans around experimentation, evaluation gates, accuracy and latency tradeoffs, and the variable timelines of taking ML research into production.
  • Set governance and reporting routines, tracking milestones, risks, decisions, and engineering health.
  • Raise program issues with leadership early.
  • Align ML and AI engineering, product, design, infrastructure, security, and legal and compliance teams.
  • Find and address recurring execution bottlenecks.
  • Create streamlined processes and tool-supported workflows to increase engineering velocity.
  • Lead AI launch readiness, including model evaluation approval, performance benchmarks, safety reviews, and documentation.
  • Brief senior leaders on ML and AI programs with data-based updates and strategic recommendations.

Reikalavimai

  • At least five years of technical program management experience at a cloud or AI-focused technology company.
  • A record of owning cross-team programs from start to finish.
  • Demonstrated experience managing ML and AI programs.
  • Understanding of the machine learning lifecycle, including training, evaluation, deployment, and monitoring.
  • Strong technical knowledge of model architecture, inference infrastructure, evaluation metrics, and deployment tradeoffs.
  • Ability to work through ambiguity and organize delivery around experimentation cycles.
  • Experience managing programs across four or more engineering teams.
  • Excellent communication skills.
  • Strong program management skills in dependency management, risk frameworks, milestone governance, stakeholder alignment, and escalation.
  • Production-scale experience with LLM inference, fine-tuning, RAG architectures, or AI function platforms is preferred.
  • Experience with model serving infrastructure, GPU or accelerator resource management, or ML platform engineering is preferred.
  • Familiarity with responsible AI practices is preferred.
  • Experience with Snowflake architecture or its data cloud ecosystem is preferred.
  • Working knowledge of ML observability is preferred.
  • Experience launching customer-facing AI features is preferred.

Privalumai

  • Target bonus of 15%.
  • Restricted stock units.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) plan.
  • Employee stock purchase plan.
  • Generous paid time off.
  • Comprehensive benefits package.

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