Sr Technical Product Marketing Manager, AI/ML Product Marketing, AWS AI Marketing

Full Job Description

Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud and AI.

As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy and drive product positioning for our AI products, including Amazon SageMaker AI.

We're looking for a unique blend of technologist and marketeer - someone who can dive deep into technical architecture of foundation model training and inference while crafting product value propositions that resonate with customers. You'll develop a deep understanding of the AI platform market landscape, partner with product teams to identify our ideal customers, understand customer priorities and use cases, and define positioning and messaging for these products.

If you thrive at the intersection of technology, marketing, and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.

Key job responsibilities

• Partner with product management teams to develop the target customer profile, use cases, and differentiators for our AI products
• Create and own positioning and messaging that clearly articulates value propositions to customers
• Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
• Lead product launch plan and execution, including naming, target audience definition, and marketing vehicles
• Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
• Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
• Drive field enablement strategies to support product launches, campaigns, and customer success Align with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles

Basic Qualifications

• Bachelor's degree in a relevant field or equivalent work experience
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience programming with at least one software programming language
• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists)
• 5+ years of direct experience working with customers on cloud or AI technology adoption

Preferred Qualifications

• Experience bringing technology products to market in a fast-paced environment
• Experience with AI/ML technologies
• Experience presenting to both technical and non-technical executive audiences
• MBA, or Master's degree in management, business administration, economics, engineering, marketing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Santa Clara - 161,900.00 - 218,600.00 USD annually

Bachelor's degree in a relevant field or equivalent work experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience programming with at least one software programming language 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists) 5+ years of direct experience working with customers on cloud or AI technology adoption