Product MKTG III - AMZ21318.3

AmazonSeattle, WA
3d

About The Position

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. 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. Define the strategy for how we reach our customers as they build on our models. Collaborate closely with product marketers across the organization. Work with AWS customers to understand how they are deploying AWS generative AI to transform their practices. Work closely with the keynote team, the re:Invent team, and the exec communications teams and the single-threaded leader and sales leadership for AI and ML to identify the most strategic customers to underscore our AWS ML differentiators, and link with our generative AI messaging; work closely with these stakeholders to ensure we understand the adoption journey these customers are going through, and we develop them into game-changing references. 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 and 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. Domestic travel up to 10% to perform role responsibilities may be required.

Requirements

  • A Master’s Degree or foreign equivalent in Marketing, Business Administration, or related discipline and three (3) years of experience in the job offered or related occupation. In the alternative, employer will accept a Bachelor’s Degree or foreign equivalent in Marketing, Business Administration, or related discipline, followed by five (5) years of experience in the job offered or related occupation.
  • 3 years of experience in customer segmentation, profiling, and targeting.
  • 3 years of experience using data and metrics to measure impact and determine improvements.
  • 3 years of experience leading go-to-market for consumer software or hardware product launches.
  • 3 years of experience Excel or Tableau (data manipulation, macros, charts and pivot tables).
  • 3 years of experience building, executing and scaling cross-functional marketing programs.
  • 3 years of experience in product marketing specifically in software or technical domain.
  • 2 years of product marketing specifically on AI/ML domain.

Responsibilities

  • 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.
  • 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.
  • Define the strategy for how we reach our customers as they build on our models.
  • Collaborate closely with product marketers across the organization.
  • Work with AWS customers to understand how they are deploying AWS generative AI to transform their practices.
  • Work closely with the keynote team, the re:Invent team, and the exec communications teams and the single-threaded leader and sales leadership for AI and ML to identify the most strategic customers to underscore our AWS ML differentiators, and link with our generative AI messaging; work closely with these stakeholders to ensure we understand the adoption journey these customers are going through, and we develop them into game-changing references.
  • 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 and 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.
  • Domestic travel up to 10% to perform role responsibilities may be required.

Benefits

  • A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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