Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers-including the fastest-growing startups, largest enterprises, and leading government agencies-are using AWS to lower costs, become more agile, and innovate faster.
Product Marketing is responsible for developing crisp, highly differentiated, and compelling positioning and messaging for AWS and its services. We tell AWS’s most important and interesting stories to educate customers about what is possible when you build on AWS.
There has never been a more exciting time to work in machine learning. In the era of generative AI, more and more people are looking to transform customer experiences and applications using machine learning models. To help customers seize this opportunity, we are looking for an experienced product marketing leader to join the ML services product marketing team to support Amazon SageMaker low-code services.
This role can sit in East Palo Alto, CA USA, Seattle, WA, USA or Boston, MA USA only. Relocation offer to these locations only from inside the USA only.
Key job responsibilities
-Drive awareness and adoption of Amazon SageMaker low-code capabilities
-Develop compelling messages for low-code ML and create content (product videos, ebooks, infographics, demos, presentations, how to guides, webpages, customer case studies)
-Test and refine new marketing channels to reach and engage key audiences
-Develop market and competitive intelligence expertise to inform messaging
-Work across teams to build compelling messaging for machine learning including sales, product management, and solutions architects
-Drive marketing campaigns across all relevant digital channels, including social engagement, search, email marketing, paid ads, and events
A day in the life
In this role, you will have the opportunity to create messaging and content, for the Amazon SageMaker low-code services. You will work closely with product managers to build messaging and launch new capabilities in the era of generative AI. You will also work with customers to build references and proof points. As a Sr. PMM, you will lead efforts to increase awareness and adoption for Amazon SageMaker.
About the team
You will join a team of Amazon SageMaker marketing professionals focused on helping customers across each step of the ML lifecycle including data preparation and model building, training, and deployment.
We are open to hiring candidates to work out of one of the following locations:
Boston, MA, USA | East Palo Alto, CA, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
– 6+ years of professional non-internship marketing experience
– Experience using data and metrics to drive improvements
– Experience with customer segmentation, profiling, and targeting
– Experience building, executing and scaling cross-functional marketing programs
PREFERRED QUALIFICATIONS
– The demonstrated ability to work independently and autonomously
– Good understanding of cloud computing, software, data science, machine learning concepts and experience creating content for and marketing to key personas in machine learning
– A career path that demonstrates increasing level of responsibility
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,300/year in our lowest geographic market up to $212,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.