Назад
1 день назад

Principal Product Manager (AI)

264 000 - 379 500$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Product Manager (AI): Leading and scaling Snowflake’s Zero-Copy Integrations product stream to enable governed, zero-copy interoperability across major business application platforms with an accent on product strategy and partner roadmaps. Focus on defining integration primitives, shaping user experiences for data access, and developing commercial models for strategic AI and data partnerships.

Location: US-WA-Bellevue or US-CA-Menlo Park

Compensation: $264K – $379.5K

Company

Snowflake is the AI Data Cloud that helps thousands of organizations mobilize their data with near-unlimited scale, performance, and concurrency on a single governed foundation.

What you will do

  • Own the product strategy and roadmap for Zero-Copy Integrations with strategic partners like SAP, Salesforce, Workday, and ServiceNow.
  • Define the product architecture and UX for zero-copy access patterns involving Iceberg, Polaris, and external catalogs.
  • Partner with engineering to develop high-quality integration primitives for semantic fidelity, lineage, and governance.
  • Build a comprehensive strategy for structured and unstructured application data, including documents and knowledge bases.
  • Influence partner roadmaps and establish mutually beneficial product and business models.
  • Collaborate with GTM, legal, and finance teams to bring zero-copy partnerships to market and engage with lighthouse customers.

Requirements

  • 12+ years of overall experience, with 8+ years in core product management for complex enterprise data, platform, or AI products.
  • Deep expertise in data integration patterns including ETL, ELT, CDC, data sharing, and federation.
  • Familiarity with open table formats (Apache Iceberg) and modern lakehouse architectures.
  • Proven ability to align product, engineering, and commercial incentives across different companies.
  • Strong technical depth to discuss architectural tradeoffs with engineering and partner architects.
  • Expertise in pricing, packaging, and commercial model design for enterprise software.

Nice to have

  • Experience with Snowflake, Databricks, SAP BDC, Salesforce Data Cloud, or Workday Data Cloud.
  • Experience building AI and agentic systems where high-quality business context and retrieval are critical.
  • Experience with data catalogs, governance, and semantic layers.
  • MBA or a degree in Computer Science, Engineering, or a related technical field.

Culture & Benefits

  • AI-native environment where AI is treated as a high-trust collaborator core to problem solving.
  • Experimental mindset that encourages rapid testing and the discovery of simpler, more powerful ways to deliver results.
  • Low-ego, dynamic culture that thrives in fast-moving environments.
  • Opportunity to work at the intersection of product, engineering, and executive-level customer engagement.

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