Product Marketing Manager, Google Kubernetes Engine
Google· startup· Internet & Cloud Services· Oct 9, 2026 · 18d ago
Sunnyvale, CA, USA · Seattle, WA, USA · San Francisco, CA, USA · Kirkland, WA, USA
In office
Full-time
Manager
$145K–$180K est.
6+ years exp
Job description
Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.
Whether you are working on our core infrastructure platforms (like Google Cloud Platform, Compute Engine, Kubernetes Engine) or developer and enterprise tools (like Firebase, BigQuery, and Anthos), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization, and developer communications, you help shape the product and drive adoption across startups and global enterprises alike.
This means you work with a cross-functional team across Enterprise Sales, developer relations, legal, product management, engineering, and solutions architecture. In this role, you will be involved with product marketing strategy from beginning to end.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• 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 team.
• 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.
• 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.
Minimum qualifications:
• 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 qualifications:
• 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.
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
kubernetesgoaiml
- Platform
- Effort
- medium