Назад
8 дней назад

Director of Product Management (AI)

304 000 - 437 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director of Product Management (AI): Owns Snowflake’s Data Transformation product portfolio, spanning intelligent migration, ingestion pipelines, data warehouse modernization, ETL/ELT transformation, and data platform rationalization with an accent on AI-first enterprise data architecture. Focus on defining the transformation roadmap, leading a high-performing PM team, partnering with engineering on complex pipeline and query workloads, and driving enterprise adoption.

Location: Hybrid in Menlo Park, California, or Bellevue, Washington, United States

Salary: $304K–$437K annually

Company

Snowflake provides a cloud data platform and is developing products that enable governed enterprise data access for Agentic AI.

What you will do

  • Define the strategic roadmap across platform migration, data ingestion and engineering, semantic layers, context, ontology, and governance.
  • Own products for intelligent migration, legacy application logic rewriting, multi-source ingestion, data warehouse modernization, ETL/ELT transformation, and platform rationalization.
  • Build, mentor, and manage a high-performing product management team.
  • Partner with engineering leadership on execution strategy, pipeline workloads, query transformation, and scalable architecture.
  • Set MVP milestones, prioritize initiatives, and align cross-functional teams.
  • Partner with marketing, field teams, and executive customers to drive migrations, adoption, and thought leadership.

Requirements

  • 12+ years of experience in data infrastructure, enterprise data platforms, migration tooling, query engines, or pipeline infrastructure.
  • Experience building, managing, and mentoring product management teams.
  • Hands-on familiarity with SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration.
  • Practical understanding of AI-assisted capabilities, including automated code translation, developer copilots, semantic validation, and LLM-driven refactoring.
  • Strong strategic, analytical, and executive communication skills, with the ability to explain complex architecture clearly.
  • Ability to work in a hybrid role based in Menlo Park, California, or Bellevue, Washington.

Culture & Benefits

  • AI-native, experimental approach to solving problems and accelerating impact.
  • Low-ego environment focused on high velocity, accountability, and technical rigor.
  • Opportunity to shape the future of legacy modernization, automated pipeline refactoring, and AI-first data architecture.
  • Fast-growing organization with an emphasis on innovation and challenging conventional thinking.

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