Our team strives to identify the persuasive return on investment for every dollar we spend. We build marketing plans that persuade our core audiences through best-in-class media tactics and measurement methodology that enables us to optimize towards the principles and platforms that achieve real-world outcomes at the expense of those that don't.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- 7+ years of product or program management, product marketing, business development or technology experience
- Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
- Experience in influencing senior leadership through data driven insights
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience analyzing data quantitatively and using customer research, data and metrics to back up assumptions, identifying opportunities, and assessing the efficacy of marketing programs
- Experience on the research vendor side or within the research group of a media company
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using financial models, KPIs, and data analysis to support business decisions
- Experience with explainable machine learning and artificial intelligence methodologies and tools
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, NY, New York – 166,300.00 - 225,000.00 USD annually
USA, VA, Arlington – 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle – 151,200.00 - 204,600.00 USD annually