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Описание вакансии
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TL;DR
Senior Product Launch Manager (AI): Orchestrating AI Data Cloud product launches and building AI-assisted content workflows with an accent on launch planning, cross-functional alignment, and scalable marketing operations. Focus on managing complex release programs, measuring adoption and pipeline impact, and developing automation that accelerates launch content production.
Location: Hybrid — Menlo Park, Dublin, or Bellevue
Salary: $165,000–$216,300 per year
Company
Snowflake provides an AI Data Cloud platform and is expanding its product marketing organization to support new product launches and enterprise growth.
What you will do
- Develop and maintain a scalable product launch framework using automation and AI-powered workflows.
- Own the full product launch lifecycle, including planning, tiering, readiness, enablement, public release, and post-launch analysis.
- Partner with product management, marketing, sales, enablement, and field marketing to create launch roadmaps, messaging, training, and field-ready materials.
- Lead cross-functional launch programs, timelines, deliverables, and communications for new products and major releases.
- Track adoption, pipeline impact, and engagement metrics to improve launch effectiveness.
- Build AI-assisted content workflows and manage the Launch & Content Center of Excellence operating model.
Requirements
- 10+ years of experience in product marketing, program management, product operations, or content strategy, ideally in enterprise software, cloud, or SaaS.
- Strong knowledge of AI and data cloud products and the enterprise data landscape.
- Hands-on experience with AI-assisted workflows, prompt engineering, or workflow automation.
- Experience leading cross-functional teams and influencing senior stakeholders without direct authority.
- Excellent written and verbal communication, analytical skills, and the ability to synthesize complex information.
- Bachelor’s degree required; willingness to travel up to 25% of the time.
Nice to have
- MBA.
Culture & Benefits
- AI-native, experimental approach to improving how work gets done.
- Fast-moving environment focused on innovation and measurable impact.
- Confidentiality and data security are essential parts of the role.
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