Назад
17 часов назад

Senior Product Manager (AI)

200 000 - 287 500$
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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TL;DR

Senior Product Manager (AI): Leading the development of enterprise AI products and features for Snowflake sales professionals with an accent on AI-driven workflow automations and data-driven prioritization. Focus on defining product roadmaps, conducting market research, and delivering genAI solutions to amplify productivity and effectiveness.

Location: Menlo Park, CA, USA

Salary: $200,000 – $287,500

Company

Snowflake is a data cloud company powering the era of the agentic enterprise by making AI accessible, trusted, and easy to use.

What you will do

  • Own and ship enterprise AI products and features used by thousands of sales professionals.
  • Define the product roadmap and establish a data-driven prioritization process for feature requests.
  • Perform user and market research to validate product requirements and designs.
  • Collaborate with engineering, data, and sales teams to deliver the roadmap using agile sprints.
  • Develop product strategies for new areas through AI-driven workflow automations.
  • Engage with external customers to help them develop AI solutions using the Snowflake platform.

Requirements

  • BS/MS/PhD in Computer Science or a related major, or equivalent experience.
  • 5+ years of experience in Product Management.
  • Experience with SaaS products or building products for business users.
  • Experience launching customer-facing genAI products.
  • Hands-on experience with structured/unstructured data and driving data requirements for user-facing products.
  • Experience working as a product owner in an Agile development environment.

Nice to have

  • Experience with sales or RevOps.
  • Familiarity and experience with Snowflake products.

Culture & Benefits

  • Opportunity to shape the future of enterprise AI and create direct revenue impact.
  • Exposure to cutting-edge AI technologies and cross-functional collaboration with data science and execs.
  • Fast-paced, innovative environment that encourages an experimental mindset.
  • Culture of challenging ordinary thinking to push the pace of innovation.

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