Principal PMT - AI/ML, Measurement Science and Data, AWS Marketing
Amazon Web Services (AWS) is building a world-class marketing organization that drives awareness and customer engagement with the goal of educating developers, IT and line-of-business professionals, startups, partners, and executive decision makers about AWS services and solutions, their benefits, and differentiation.
As the central data and science organization in AWS Marketing, the Data:
Science and Engineering (D:
SE) team builds measurement products, AI/ML models for targeting, and self-service insights capabilities for AWS Marketing to drive better measurement and personalization, improve data access and analytical self-service, and empower strategic data-driven decisions.
We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.
We are looking for a Principal Product Manager - Tech with expertise in recommender engines, content ranking and rapid experimentation at scale, with strong interest in building scalable solutions in partnership with our engineering organization.
You will lead strategic AI/ML and experimentation initiatives across AWS Marketing & Sales ranging anywhere between recommender engines, scaling experimentation and measurement science, real-time inference, and content ranking.
You are a strategic product leader who can contribute to advancing Marketing AI/ML and experimentation technology in a B2B environment, and consistently deliver results.
You will work with recognized B2B Marketing Science and AI/ML experts to develop large-scale, high-performing AI/ML models and rapid experimentation capabilities.
We are at a pivotal moment in our organization where AI/ML, measurement and experimentation velocity has reached an unseen momentum, and we need to scale fast in order to maintain it.
Your work will be a key input into a few of our S-Team goals.
You will advance the state of the art in recommender engines, rapid experimentation at scale, and marketing science.
Key job responsibilitiesYou will collaborate with scientists, software and machine learning engineers, economists, and other data experts across AWS to define and deliver opportunities to leverage a wide range of econometric and machine learning models in measuring AWS Marketing impact, real-time personalization and ranking systems, experimentation tooling, and drive overall data and science strategy.
A successful candidate will have a passion for innovation, interest in cutting-edge science, and excitement about working in a high-impact domain.
You will:
o Define and drive the multi-year vision for the AI/ ML science product portfolio and the teamo Lead strategic planning to achieve technical and business goalso Work with leaders across science, tech, product/program management, corporate and operations to identify and manage new and existing opportunities, initiatives and processeso Deliver 3YP, Vision, PRFAQs, and BRD docso Own end-to-end product lifecycleo Influence priorities and business strategy through quantitative and qualitative contributionso Interact directly with stakeholders and users to continuously improve products and programso Define clear goals and objectives for the business in the planning and execution space while identifying risks and strategizing mitigation planso Mentor other product managersWe are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
As the central data and science organization in AWS Marketing, the Data:
Science and Engineering (D:
SE) team builds measurement products, AI/ML models for targeting, and self-service insights capabilities for AWS Marketing to drive better measurement and personalization, improve data access and analytical self-service, and empower strategic data-driven decisions.
We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.
We are looking for a Principal Product Manager - Tech with expertise in recommender engines, content ranking and rapid experimentation at scale, with strong interest in building scalable solutions in partnership with our engineering organization.
You will lead strategic AI/ML and experimentation initiatives across AWS Marketing & Sales ranging anywhere between recommender engines, scaling experimentation and measurement science, real-time inference, and content ranking.
You are a strategic product leader who can contribute to advancing Marketing AI/ML and experimentation technology in a B2B environment, and consistently deliver results.
You will work with recognized B2B Marketing Science and AI/ML experts to develop large-scale, high-performing AI/ML models and rapid experimentation capabilities.
We are at a pivotal moment in our organization where AI/ML, measurement and experimentation velocity has reached an unseen momentum, and we need to scale fast in order to maintain it.
Your work will be a key input into a few of our S-Team goals.
You will advance the state of the art in recommender engines, rapid experimentation at scale, and marketing science.
Key job responsibilitiesYou will collaborate with scientists, software and machine learning engineers, economists, and other data experts across AWS to define and deliver opportunities to leverage a wide range of econometric and machine learning models in measuring AWS Marketing impact, real-time personalization and ranking systems, experimentation tooling, and drive overall data and science strategy.
A successful candidate will have a passion for innovation, interest in cutting-edge science, and excitement about working in a high-impact domain.
You will:
o Define and drive the multi-year vision for the AI/ ML science product portfolio and the teamo Lead strategic planning to achieve technical and business goalso Work with leaders across science, tech, product/program management, corporate and operations to identify and manage new and existing opportunities, initiatives and processeso Deliver 3YP, Vision, PRFAQs, and BRD docso Own end-to-end product lifecycleo Influence priorities and business strategy through quantitative and qualitative contributionso Interact directly with stakeholders and users to continuously improve products and programso Define clear goals and objectives for the business in the planning and execution space while identifying risks and strategizing mitigation planso Mentor other product managersWe are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA.
Estimated Salary: $20 to $28 per hour based on qualifications.
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