Senior Program Manager - GenAI, SageMaker
Amazon.com
Are you energized to program manage tasks and deliverables of the team in AWS driving adoption of generative AI and machine learning technologies with AWS customer’s adopting a managed service to speed up their GenAI and ML-led innovation? We are seeking an experienced Program Manager to join our growing GTM business development team and to own and manage all program aspects of tracking and running the world-wide business development of SageMaker AI.
Key job responsibilities
In this role, you will be working closely with world-wide and geo-specific business development, sales Ops, finance, service and field marketing teams in Gen AI and machine learning. You will be managing tools for revenue, pipeline and forecast across several key dimensions, tracking customer reference generation and progression, revenue risks and impacts, metrics on teams deliverables, processes for gathering and correlating insights for monthly leadership reports, coordination across multiple business development (BD) teams to tag multiple accounts in SalesForce across multiple initiatives, budget planning, planning customer facing roadshows, round tables, Executive Briefing days, webinars, field enablement roadshows, etc. You will use productivity tools such as Excel, SalesForce, asana, smartsheets and event planning tools such as splashthat to accomplish your tasks. You will display strong bias for action, ownership and ability to invent and simplify and you will insist on high standards from the rest of the team. Finally, you will help compile and share insights across several BD teams with peers and Leadership utilizing Amazon’s business writing practices.
A day in the life
You will maintain a program-wide tracker that tracks various aspects of running the SageMaker AI business development including revenue, pipeline, high-value customer tracking/tagging, risk and revenue impacts, event calendar, monthly reporting, etc. Working the world-wide business development specialists, you will drive weekly team calls, capture and document key progress for weekly business review. Working with finance, salesOps and BI teams, you will refresh tools that show revenue, pipeline and forecast across key dimensions on a weekly basis. Working with BDs, SAs and marketing managers, you will track progression of customer references and case studies across the team. Working with BDs, you will help run personalized email campaigns for specific initiatives and track responses, results and metrics and will help plan and setup webinars, roadshows, customer roundtables, executing briefing days, etc. by utilizing event planning tools.
About the team
We are a small world-wide team of Machine Learning, Deep Learning and Generative AI Go-to-Market specialists with a unique blend of product management, technical business development and sales backgrounds, driving global adoption and scaling of Amazon SageMaker as a managed ML and GenAI Service.
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.
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.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Key job responsibilities
In this role, you will be working closely with world-wide and geo-specific business development, sales Ops, finance, service and field marketing teams in Gen AI and machine learning. You will be managing tools for revenue, pipeline and forecast across several key dimensions, tracking customer reference generation and progression, revenue risks and impacts, metrics on teams deliverables, processes for gathering and correlating insights for monthly leadership reports, coordination across multiple business development (BD) teams to tag multiple accounts in SalesForce across multiple initiatives, budget planning, planning customer facing roadshows, round tables, Executive Briefing days, webinars, field enablement roadshows, etc. You will use productivity tools such as Excel, SalesForce, asana, smartsheets and event planning tools such as splashthat to accomplish your tasks. You will display strong bias for action, ownership and ability to invent and simplify and you will insist on high standards from the rest of the team. Finally, you will help compile and share insights across several BD teams with peers and Leadership utilizing Amazon’s business writing practices.
A day in the life
You will maintain a program-wide tracker that tracks various aspects of running the SageMaker AI business development including revenue, pipeline, high-value customer tracking/tagging, risk and revenue impacts, event calendar, monthly reporting, etc. Working the world-wide business development specialists, you will drive weekly team calls, capture and document key progress for weekly business review. Working with finance, salesOps and BI teams, you will refresh tools that show revenue, pipeline and forecast across key dimensions on a weekly basis. Working with BDs, SAs and marketing managers, you will track progression of customer references and case studies across the team. Working with BDs, you will help run personalized email campaigns for specific initiatives and track responses, results and metrics and will help plan and setup webinars, roadshows, customer roundtables, executing briefing days, etc. by utilizing event planning tools.
About the team
We are a small world-wide team of Machine Learning, Deep Learning and Generative AI Go-to-Market specialists with a unique blend of product management, technical business development and sales backgrounds, driving global adoption and scaling of Amazon SageMaker as a managed ML and GenAI Service.
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.
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.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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