A

Sr. Product Marketing Manager, AWS AI

Amazon
Full-time
On-site
San Francisco, California, United States
πŸ“¦ Product Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Sr. Product Marketing Manager, AWS AI

πŸ”Ή Company: Amazon

πŸ”Ή Location: Multiple locations (see below)

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: July 30, 2025

πŸ”Ή Experience Level: 6+ years

πŸ”Ή Remote Status: On-site (multiple locations)

πŸš€ Job Overview

Key aspects of this role include:

  • Developing compelling customer stories for AWS Generative AI Innovation Center
  • Collaborating with cross-functional teams to bring AI customer stories to life
  • Piloting new ways to showcase top AI customer stories across multiple mediums
  • Establishing metrics and KPIs to measure marketing effectiveness
  • Working closely with AWS AI leaders, strategists, and scientists to understand customer adoption journeys

ASSUMPTION: This role requires a strong background in product marketing, customer storytelling, and data-driven decision making. The ideal candidate will have experience working with AI technologies and a deep understanding of the AI customer lifecycle.

πŸ“‹ Key Responsibilities

βœ… Own customer storytelling for the AWS Generative AI Innovation Center

βœ… Develop bar-raising AI customer stories and work with integrated marketing to feature them in key channels

βœ… Pilot new ways to bring top AI customer stories to life across multiple mediums and channels

βœ… Work closely with Generative AI Innovation Center leaders, strategists, and scientists to understand customer adoption journeys and translate insights into customer stories

βœ… Establish metrics and KPIs to measure marketing effectiveness, optimize programs, and iterate on existing marketing assets

ASSUMPION: The successful candidate will have a proven track record in developing and executing marketing programs, a strong analytical mindset, and excellent communication skills. They will be comfortable working in a fast-paced, dynamic environment and collaborating with cross-functional teams.

🎯 Required Qualifications

Education: Bachelor's degree in Marketing, Business, or a related field

Experience: 6+ years of product marketing experience, with a focus on customer storytelling and data-driven decision making

Required Skills:

  • Proven experience in developing and executing marketing programs
  • Strong analytical skills and data-driven mindset
  • Excellent communication and collaboration skills
  • Familiarity with AI technologies and customer adoption journeys

Preferred Skills:

  • Experience with customer segmentation, profiling, and targeting
  • Proven ability to create bar-raising customer storytelling

ASSUMPTION: While not explicitly stated, the role likely requires proficiency in using marketing automation tools, CRM software, and data visualization platforms. Additionally, experience working in the tech industry, particularly with AI technologies, would be beneficial.

πŸ’° Compensation & Benefits

Salary Range: $128,600 - $212,600 per year (based on location)

Benefits:

Working Hours: Full-time (40 hours per week)

ASSUMPTION: The salary range provided is based on the company's stated compensation structure for this role. However, the actual salary may vary depending on the candidate's qualifications, experience, and the specific location of the role.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Software Development (specifically, cloud computing and AI services)

Company Size: 10,001+ employees (one of the largest tech companies globally)

Founded: 1994 (as an online bookstore, transitioned to e-commerce and cloud computing services)

Company Description:

  • Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
  • The company is driven by the excitement of building technologies, inventing products, and providing services that change lives
  • Amazon's mission is to be Earth's most customer-centric company

Company Specialties:

  • E-commerce and retail
  • Cloud computing (AWS)
  • AI and machine learning services
  • Operations and logistics
  • Company Website: https://www.amazon.com

    ASSUMPTION: As one of the largest tech companies globally, Amazon offers extensive resources and opportunities for professional growth. However, the company's size may also present challenges in terms of career advancement and personal impact on the business.

    πŸ“Š Role Analysis

    Career Level: Mid-level to senior (6+ years of experience required)

    Reporting Structure: The role reports directly to the Generative AI Innovation Center leadership team

    Work Arrangement: On-site (multiple locations, with potential for remote work depending on the specific role and location)

    Growth Opportunities:

    • Potential to work on high-impact projects with significant customer reach
    • Opportunities to collaborate with and learn from industry-leading experts in AI and machine learning
    • Career advancement opportunities within Amazon's extensive product marketing organization

    ASSUMPTION: The role offers significant growth opportunities for the right candidate, with the potential to make a substantial impact on Amazon's AI business and the broader tech industry.

    🌍 Location & Work Environment

    Office Type: Multiple office locations (see below)

    Office Location(s): Boston, MA; Santa Clara, CA; Santa Monica, CA; Arlington, VA; Seattle, WA; Atlanta, GA; New York, NY; San Francisco, CA

    Geographic Context:

    • Amazon's offices are located in major tech hubs and urban centers across the United States
    • Each location offers unique cultural and professional networking opportunities

    Work Schedule: Full-time (40 hours per week, with potential for flexible work arrangements depending on the specific role and location)

    ASSUMPTION: The specific office location may impact the work environment, commuting time, and overall quality of life for the employee. Candidates should consider their personal preferences and priorities when applying for this role.

    πŸ’Ό Interview & Application Insights

    Typical Process:

    • Online application submission
    • Phone or video screen with a member of the HR team
    • Technical assessment or case study presentation
    • On-site or virtual interviews with the hiring manager and team members
    • Final round interviews with senior leadership

    Key Assessment Areas:

    • Problem-solving skills and analytical thinking
    • Communication and presentation skills
    • Cultural fit and alignment with Amazon's leadership principles
    • Domain expertise in AI and machine learning technologies

    Application Tips:

    • Tailor your resume and cover letter to highlight relevant experience and skills for this role
    • Prepare for behavioral and situational interview questions that focus on your problem-solving skills and leadership potential
    • Demonstrate your understanding of Amazon's products, services, and company culture

    ATS Keywords: Product Marketing, AI, Customer Storytelling, Data Analysis, Marketing Strategy, Campaign Management, AWS, Generative AI

    ASSUMPTION: The application process for this role may vary depending on the specific location and hiring manager. Candidates should be prepared to adapt their approach based on the feedback they receive throughout the interview process.

    πŸ› οΈ Tools & Technologies

    • Marketing automation tools (e.g., Marketo, HubSpot)
    • CRM software (e.g., Salesforce, HubSpot CRM)
    • Data visualization platforms (e.g., Tableau, Power BI)
    • AI and machine learning tools (e.g., TensorFlow, PyTorch)
    • AWS services (e.g., S3, Lambda, SageMaker)

    ASSUMPTION: The specific tools and technologies required for this role may vary depending on the candidate's location and the specific needs of the team they join.

    πŸ‘” Cultural Fit Considerations

    Company Values:

    • Customer obsession
    • Invent and simplify
    • Bias for action
    • Frugality
    • Ownership

    Work Style:

    • Fast-paced and dynamic
    • Collaborative and cross-functional
    • Data-driven and analytical
    • Inventive and creative

    Self-Assessment Questions:

    • How do you demonstrate customer obsession in your daily work?
    • Can you provide an example of a time when you took bold action to solve a complex problem?
    • How do you approach working in a dynamic, fast-paced environment?

    ASSUMPTION: Candidates should carefully consider how their personal values and work style align with Amazon's company culture and the specific requirements of this role.

    ⚠️ Potential Challenges

    • Working in a large, matrixed organization with multiple stakeholders
    • Managing competing priorities and tight deadlines
    • Adapting to frequent changes in the AI landscape and customer needs
    • Balancing strategic thinking with tactical execution

    ASSUMPTION: The successful candidate will be comfortable working in a fast-paced, dynamic environment and able to adapt to change quickly. They will also have strong project management skills and the ability to prioritize and manage multiple projects simultaneously.

    πŸ“ˆ Similar Roles Comparison

    • This role is unique in its focus on generative AI customer storytelling and collaboration with AWS AI innovation center leaders
    • Compared to other product marketing roles, this position requires a deeper understanding of AI technologies and customer adoption journeys
    • Career progression in this role may lead to specialized positions within Amazon's AI organization or broader product marketing leadership opportunities

    ASSUMPTION: Candidates should consider their long-term career goals and how this role aligns with their desired career path when applying for this position.

    πŸ“ Sample Projects

    • Developing a customer success story highlighting how a major retailer used AWS AI to optimize inventory management and increase sales
    • Creating a video series showcasing how AWS AI is helping businesses of all sizes unlock the power of generative AI for various use cases
    • Designing an interactive webinar or workshop to educate customers on the latest advancements in AWS AI and their potential applications

    ASSUMPTION: The specific projects assigned to the successful candidate will depend on the team's priorities, customer needs, and the broader AI landscape at the time of hire.

    ❓ Key Questions to Ask During Interview

    • Can you describe the team structure and dynamics of the Generative AI Innovation Center?
    • How does this role collaborate with other marketing teams and stakeholders within Amazon?
    • What are the most pressing challenges facing the AI customer adoption journey, and how does this role address them?
    • How does Amazon support the professional development and growth of its product marketing team members?
    • What are the key performance indicators (KPIs) for this role, and how are they tracked and reported?

    ASSUMPTION: Candidates should use the interview process to gain a deeper understanding of the role's responsibilities, team dynamics, and the company's long-term vision for AI customer storytelling.

    πŸ“Œ Next Steps for Applicants

    To apply for this position:

    • Submit your application through this link
    • Tailor your resume and cover letter to highlight your relevant experience and skills for this role
    • Prepare for behavioral and situational interview questions that focus on your problem-solving skills and leadership potential
    • Demonstrate your understanding of Amazon's products, services, and company culture
    • Follow up with the hiring manager one week after your final interview 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.