Snowflake
Snowflake
Snowflake बड़े पैमाने पर जानकारी को संग्रहीत करने, संसाधित करने और उसका विश्लेषण करने के लिए क्लाउड-आधारित डेटा प्लेटफ़ॉर्म उपलब्ध कराता है। इसका केंद्रीकृत आर्किटेक्चर व्यवसायों को डेटा को एक साथ लाने, जटिल क्वेरी को कुशलतापूर्वक चलाने और अपनी बदलती आवश्यकताओं के अनुसार विविध कार्यभारों का समर्थन करने में मदद करता है। कंपनी का प्लेटफ़ॉर्म क्लाउड कंप्यूटिंग, डेटा, एनालिटिक्स, कंसल्टिंग और मार्केटिंग टेक्नोलॉजी के क्षेत्रों में काम करने वाले पेशेवरों के लिए प्रासंगिक है; अवसर आधुनिक डेटा इंफ्रास्ट्रक्चर विकसित करने और उसका समर्थन करने वाली टीमों के अनुसार अलग-अलग होते हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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