Product Marketing Manager, Google Kubernetes Engine

Seattle, WA (Unknown)

$141K/yr – $206K/yrSenior Level6+ years expFull time

Posted 13 days ago

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Job Summary

Own end-to-end GTM for GKE, drive cross-functional launches, and translate technical capabilities into business value while building adoption through bottoms-up and analyst communications.

  • Define audiences and messaging for AI workloads.
  • Align with product, sales, and external content like blogs and websites.
  • Lead campaigns, enablement, and biweekly cadence for budgets and partnerships.

Job Description

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

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
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Traffic Signals

Monthly Visitors
83.9B
Monthly Google Ads Budget
$59.2M
Traffic Source Mix
Search
6.3%
Direct
87.6%
Referral
5.1%
Social
0.5%
Paid
0.2%

Headcount Trend

Current headcount: ~325.4K

Marketing Team

Marketing Team Size
100,288 (31% of company)
Median Career Experience
21 years
Median Tenure
7.1 years
Marketing Roles Posted (Last 30 Days)
27

Funding

Total Funding
$26.1M
Last Raise
$25M
Series Unknown, 27 years ago

Funding History

  • Jun 1999
    Series Unknown • $25M
  • Nov 1998
    Angel • $1M
  • Aug 1998
    Pre Seed • $100K

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