Director of Product Marketing for Platform (AI Data Cloud)

Location: Menlo Park, CA or Bellevue, WA, United States. Travel up to 25% of the time is required.

Salary: $228,000–$299,200 per year.

Company

Snowflake provides an enterprise data and AI platform that helps organizations manage, analyze, and build on data at scale.

What you will do

• Define Snowflake's overarching platform narrative, messaging, and positioning across governance, security, compute, and other foundational capabilities.
• Lead go-to-market strategy for major platform launches, including messaging architecture, launch tiers, sales enablement, analyst briefings, and public-facing content.
• Partner with Product Management to influence roadmap priorities using market signals, competitive dynamics, customer feedback, and pipeline trends.
• Create field enablement programs, battle cards, objection-handling guides, and technical ROI materials for sales teams.
• Establish and track performance indicators for go-to-market programs, messaging effectiveness, pipeline influence, and product adoption.
• Recruit, develop, and retain product marketing talent while setting expectations and maintaining high standards.

Requirements

• 12+ years of product marketing experience, including at least 3 years managing and developing product marketers.
• Deep expertise in cloud infrastructure, data platforms, and AI platforms, including compute performance, data governance, and security.
• Experience creating product narratives for technical evaluators and executive buyers, including security architects, data engineers, CISOs, and CTOs.
• Proven success building go-to-market programs that influence pipeline, accelerate revenue, and drive product adoption.
• Executive communication skills with experience presenting to C-suite audiences, field organizations, industry analysts, and press.
• BS/BA degree required; MBA or advanced degree preferred.

Nice to have

• MBA or another advanced degree.

Culture & Benefits

• Full-time role focused on impact, innovation, collaboration, and measurable outcomes.
• AI-native working environment that encourages experimentation and the use of AI as a trusted collaborator.
• Cross-functional collaboration with Product Management, Engineering, Sales, and Field teams.
• Responsibility for following confidentiality and data security standards when handling customer information.