Snowflake предлагает четко очерченную руководящую роль на стыке AI и трансформации данных с зарплатой выше рыночного ориентира, хотя масштаб направления и требования к лидерству предполагают высокую ответственность.
Кликните для подробной информации
Широкий охватВыше рынкаАктуальное направлениеПонятная роль
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →