📌 Core Information
🔹 Job Title: Product Marketing Manager, Cloud AI, Cloud Marketing
🔹 Company: Google
🔹 Location: Sunnyvale, California, United States
🔹 Job Type: Full-time
🔹 Category: Marketing
🔹 Date Posted: May 20, 2025
🔹 Experience Level: 6+ years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Driving acquisition of new enterprise customers and developers on Google Cloud through strategic marketing
- Crafting compelling narratives and value propositions around AI/ML products, with a focus on generative AI
- Collaborating cross-functionally with teams such as Sales, corporate communications, and product development
- Creating marketing campaigns and assets to drive adoption of Google Cloud’s AI/ML portfolio
ASSUMPTION: This role requires a strong understanding of both marketing and AI/ML technologies to succeed.
📋 Key Responsibilities
✅ Own the positioning message and value proposition of AI/ML, focusing on generative AI for enterprises and startups on Google Cloud
✅ Lead marketing strategy and execution to showcase the value of Google Cloud’s AI/ML portfolio
✅ Build assets that help customers and drive adoption of AI/ML portfolio, including products like Vertex AI
✅ Create marketing campaigns and work with demand generation teams to drive pipelines for business organizations
✅ Identify, develop, or manage the creation of a variety of content types
ASSUMPTION: This role may require occasional travel to attend industry events or meet with clients.
🎯 Required Qualifications
Education: Bachelor's degree or equivalent practical experience
Experience: 6 years of experience in marketing working across one or more marketing fields (i.e., growth, product marketing, brand marketing, social)
Required Skills:
- Experience managing cross-functional or cross-team projects
- Experience with AI/ML product marketing
Preferred Skills:
- 5 years of enterprise technology or software marketing experience
- Experience with AI/ML either as a developer, product management, or product marketing
- Experience selling to enterprises and startups
- Knowledge of AI/ML, with a focus on Generative AI, along with understanding of unique needs of audience
ASSUMPTION: While not explicitly stated, a strong understanding of enterprise technology and AI/ML is highly preferred for this role.
💰 Compensation & Benefits
Salary Range: $137,000 - $201,000 USD per year (base salary only, does not include bonus, equity, or benefits)
Benefits:
- Bonus
- Equity
- Benefits (including health, dental, vision, and retirement plans)
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The provided salary range is for the base salary only and does not include additional compensation such as bonuses, equity, or benefits.
📌 Applicant Insights
🔍 Company Context
Industry: Google is a multinational technology company that specializes in Internet-related services and products, including online advertising technologies, search engine, cloud computing, software, and hardware. The company is known for its innovative approach to marketing and has a strong focus on AI/ML technologies.
Company Size: Google has over 10,000 employees and is considered a large enterprise. This size offers opportunities for career growth and exposure to diverse projects.
Founded: Google was founded in 1998 by Larry Page and Sergey Brin and has since grown to become one of the world's leading technology companies.
Company Description:
- Google is committed to making the world's information universally accessible and useful
- The company fosters a culture of innovation and encourages employees to think big and take risks
- Google offers a wide range of products and services, including search, advertising, cloud computing, and hardware
Company Specialties:
- Search Engine
- Online Advertising
- Cloud Computing
- Hardware
Company Website: https://www.google.com/
ASSUMPTION: Google's large size and diverse product offerings provide ample opportunities for career growth and learning.
📊 Role Analysis
Career Level: This role is at the manager level, requiring significant experience in marketing and AI/ML product management.
Reporting Structure: The Product Marketing Manager, Cloud AI, Cloud Marketing will likely report to the Director of Product Marketing or a similar role within the Google Cloud division.
Work Arrangement: This role is remote-friendly, allowing for flexibility in work arrangements.
Growth Opportunities:
- Potential to move into senior management roles within Google Cloud or other divisions
- Opportunities to work on cutting-edge AI/ML technologies and products
- Chance to gain experience in enterprise technology marketing and sales
ASSUMPTION: Given Google's size and diverse product offerings, there are numerous opportunities for career growth and development within the company.
🌍 Location & Work Environment
Office Type: Google's Sunnyvale office is a modern, collaborative workspace designed to foster innovation and creativity.
Office Location(s): 250 Mayfield Ave, Mountain View, California 94043, US
Geographic Context:
- Sunnyvale is located in the heart of Silicon Valley, providing ample opportunities for networking and professional growth
- The area offers a diverse range of cultural attractions, restaurants, and outdoor activities
- Sunnyvale has a Mediterranean climate, with mild, wet winters and warm, dry summers
Work Schedule: Full-time (40 hours per week), with flexibility for remote work
ASSUMPTION: While the role is remote-friendly, there may be occasional on-site requirements for team meetings or client presentations.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a recruiter or hiring manager
- Behavioral and technical interviews with cross-functional teams
- Final interview with the hiring manager or director
Key Assessment Areas:
- Marketing strategy and execution
- Understanding of AI/ML technologies and products
- Cross-functional collaboration and communication skills
- Problem-solving and analytical skills
Application Tips:
- Highlight your experience with AI/ML product marketing and enterprise technology marketing
- Demonstrate your understanding of Google Cloud's AI/ML portfolio and its unique value propositions
- Showcase your ability to craft compelling narratives and value propositions for enterprise customers
- Prepare examples of marketing campaigns or projects that drove customer adoption or acquisition
ATS Keywords: AI/ML product marketing, enterprise technology marketing, marketing strategy, customer acquisition, demand generation, content creation, Google Cloud, generative AI
ASSUMPTION: Given Google's large size and competitive hiring process, applicants should expect a thorough and comprehensive interview process.
🛠️ Tools & Technologies
- Google Workspace (Gmail, Google Docs, Sheets, Slides)
- Marketing automation tools (e.g., Marketo, HubSpot)
- AI/ML platforms (e.g., TensorFlow, Cloud AutoML)
- Project management tools (e.g., Asana, Trello)
ASSUMPTION: The specific tools and technologies used may vary depending on the team and project requirements.
👔 Cultural Fit Considerations
Company Values:
- Focus on the user
- Innovation
- Inclusion
- Integrity
- Collaboration
Work Style:
- Data-driven decision making
- Cross-functional collaboration
- Continuous learning and growth
- Results-oriented and entrepreneurial mindset
Self-Assessment Questions:
- How do you prioritize user needs in your marketing strategies?
- Can you provide an example of a time when you successfully collaborated with cross-functional teams to achieve a marketing goal?
- How do you stay up-to-date with the latest AI/ML technologies and trends?
ASSUMPTION: Google values employees who are passionate about their work, committed to continuous learning, and dedicated to fostering a diverse and inclusive work environment.
⚠️ Potential Challenges
- Managing multiple projects and priorities in a fast-paced, dynamic environment
- Keeping up with the latest AI/ML technologies and trends
- Collaborating effectively with cross-functional teams across different time zones
- Balancing the need for innovation with the need to deliver results and meet business objectives
ASSUMPTION: These challenges can be overcome with strong project management skills, a focus on continuous learning, and effective communication and collaboration with team members.
📈 Similar Roles Comparison
- This role is similar to other product marketing manager roles within Google Cloud, but with a specific focus on AI/ML products and enterprise customers
- Compared to other enterprise technology marketing roles, this position requires a deeper understanding of AI/ML technologies and products
- Career paths may include moving into senior management roles within Google Cloud or other divisions, or transitioning into other product marketing or management roles within the company
ASSUMPTION: Applicants should consider their long-term career goals and how this role aligns with their desired career path when evaluating this opportunity.
📝 Sample Projects
- Developing a marketing campaign to drive adoption of a new AI/ML product within the Google Cloud portfolio
- Creating a whitepaper or case study that highlights the unique value propositions of Google Cloud's AI/ML offerings for enterprise customers
- Conducting market research to identify trends and opportunities in the AI/ML space and developing marketing strategies to capitalize on them
ASSUMPTION: These sample projects are intended to illustrate the types of initiatives the Product Marketing Manager, Cloud AI, Cloud Marketing may work on, but the specific projects may vary depending on the team's priorities and the company's strategic goals.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader marketing strategy for Google Cloud's AI/ML portfolio?
- What are the key priorities for this role in the first 90 days?
- How does Google support the professional development and growth of its product marketing managers?
- What are the most significant challenges facing the AI/ML products within Google Cloud, and how can this role help address them?
- How does this role collaborate with other teams within Google Cloud, such as sales, product management, and engineering?
ASSUMPTION: These questions are designed to help applicants better understand the role, the team, and the company, and to demonstrate their interest in and enthusiasm for the opportunity.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your experience with AI/ML product marketing and enterprise technology marketing
- Prepare examples of marketing campaigns or projects that demonstrate your ability to drive customer acquisition and adoption
- Follow up with the recruiter or hiring manager within one week of submitting your application to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
