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Amazon Web Services, Inc.

Senior Product Marketing Manager, Amazon Bedrock, AWS AIML Product Marketing Tea

Amazon Web Services, Inc., Seattle, Washington, us, 98127


Are you excited about going deep with customers—including Amazon teams—adopting generative AI technology? Do you want to develop messaging and positioning for the large language models (LLMs) and other foundation models (FMs) supported by Amazon Bedrock and Amazon SageMaker? Are you thrilled to be a key part of AWS where we have been democratizing machine learning and shaping the world’s AI technology? Our AI/ML Product Marketing Team is excited to add a Sr. Manager, Product Marketing Manager to our team to drive these exciting initiatives!

Check below to see if you have what is needed for this opportunity, and if so, make an application asap.The product marketing team works on creating compelling positioning and marketing content to support product launches and campaigns that will help customers do more with generative AI. We all have a bias for action for developing awesome marketing assets (e.g., website, videos, success stories, blogs, presentations, print collateral, sales enablement tools, etc.). We look for ways to measure the impact of our work on service adoptions. We transition from working on strategic plans or creative ideation to detailed execution, multiple times per day. This helps us manage time and juggle multiple priorities to execute high quality deliverables. We enjoy supporting a fast-paced and highly cross-functional organization.

This role may sit in any of these locations:

Boston, MA, USA | Santa Clara, CA, USA | Seattle, WA, USA. Relocation offered to these locations only from within the USA.

Key job responsibilities

You will be part of the team responsible for defining our positioning and messaging to customers who are in the process of deploying generative AI with Amazon Bedrock, our flagship generative AI service, focusing in particular on our Amazon-built LLMs.You will create the most compelling content to help customers understand the use cases and value propositions, and building the right programs to increase customer engagement and service adoption.You will help define the strategy for how we reach our customers as they build on our models. You will collaborate closely with product marketers across the organization.You will work with AWS customers to understand how they are deploying AWS generative AI to transform their practices.You will work closely with various teams to identify the most strategic customers to underscore our AWS ML differentiators and link with our generative AI messaging.You will get to work on a rapidly growing business and have a big impact every day.

A day in the life

Drive messaging and positioning for our model offerings, and related services and capabilities.Compelling and strategic customer references, including deep dives on ROI from deploying generative AI use cases, qualitative proof points, and more.Craft & develop compelling audience-specific messages, content and tools (eBooks, presentations, whitepapers, infographics, webinars, customer success stories, product videos, how-to guides, etc.).Develop and execute on breakthrough product marketing activities that reach target audiences effectively.Partner with other marketing teams (e.g., web content, campaigns, demand generation, field teams, and events) to drive and execute on global marketing initiatives.Work effectively across AWS with groups such as product, digital marketing, sales, business development, and evangelists to achieve business goals.Develop and launch training, tutorials and promotions to increase adoption of products.Continuously measure and optimize product marketing initiatives.Lead a team of marketers focused on developing the best materials to win in the marketplace with generative AI.

About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Minimum Requirements

Experience leading go-to-market for consumer software or hardware product launches.Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables).Experience building, executing and scaling cross-functional marketing programs.7+ years of product marketing experience specifically in software or technical domain with 2+ of those focused on AI/ML domain.Experience with customer segmentation, profiling, and targeting.Experience using data and metrics to measure impact and determine improvements.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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