Responsibilities

• Execute end-to-end go-to-market plans for GKE, defining audiences from AI startups to enterprises, creating messaging for AI workloads, and aligning launch activities cross-functionally.
• Maintain operational rhythm with product management to stay aligned on the technical roadmap, integrate TAM research, and deliver technical marketing enablement for the sales force.
• Create impactful message houses translating GKE capabilities into business value, and own external content like website updates, blogs, and thought leadership campaigns.
• Implement marketing campaigns to drive adoption and feature usage, focus on bottoms-up technical community engagement, and assist senior leadership with analyst briefings.
• Build cross-functional consensus on launch tactics and strategic pivots within biweekly rhythms, while managing budgets, vendor relationships, and policy compliance.

Requirements

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in marketing or technical fields (i.e. product marketing, technical marketing, sales engineer, customer engineer, product manager, outbound product manager).
• Experience managing cross-functional or cross-team projects.

Preferred

• Master’s degree in Marketing, Business, Communications, Computer Science, Engineering, or a related technical field.
• Experience in the cloud infrastructure space, particularly with container orchestration (Kubernetes) and AI/ML compute workloads.
• Experience utilizing AI productivity tools to solve complex, multi-layered problems and streamline business or development workflows.
• Strong emotional intelligence to manage product vs. sales dynamics and influence without direct authority.

Benefits

• US: $141000 - $206000 (USD) + 15% bonus target + equity + benefits
• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.