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

Saved 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

Requirements: - 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