Мощная роль в Snowflake на острие GenAI. Зарплата выше рынка, а зона ответственности четко определена, что делает вакансию одной из лучших для тех, кто хочет развивать корпоративный AI.
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Передовой стекВысокая зарплатаТрендовый доменЧеткий скоупПотенциал роста
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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.
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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