BD Manager, GenAI, Global Education

Amazon Web Services (AWS); New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Amazon Web Services (AWS) Global Education team is seeking a strategic business development leader to shape and drive education-focused generative AI go-to-market worldwide. You will collaborate with AWS’s specialist, partner, and strategic accounts teams to influence education buyers and deploy AI workloads on Bedrock.

You will lead engagements with EdTech founders, presidents, CIOs, and ministry officials, translating insights into scalable GTM strategies and new revenue opportunities across

Qualifications

• 6+ years of professional or military experience.
• 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
• 3+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage.

Responsibilities

• Build education-specific GTM for EdTech, higher education, and ministries of education.
• Engage with senior education leaders to drive generative AI workloads on AWS.
• Lead Innovation Acceleration engagements to launch new products and solutions.
• Expand education GTM with current and emerging model providers and partners.
• Serve as the STO of the education generative AI GTM portfolio across segments and regions.
• Partner with Solutions Architects and GenAIIC for solution delivery.
• Identify gaps in solutions and influence joint AWS/partner development.
• Provide thought leadership through events, white papers, blogs, and social media.
• Distill learnings to inform global education strategy.

Skills

GTM strategy

Business Development

Sales

Consulting

Data & AI

GenAI

Tools

AI/ML

Analytics

Database

Storage

Job description

Description

Would you like to be part of a mission-driven team at Amazon Web Services (AWS) that is helping the world's education customers innovate with generative AI? Do you have the business acumen, technical depth, and education industry experience to help EdTech companies, higher education institutions, and ministries of education adopt the leading AI models on AWS? Through Amazon Bedrock, customers access models from leading AI companies such as OpenAI and Anthropic, as well as open-weight models, with the security, governance, and operational controls they already rely on from AWS, complemented by AWS's own AI services. The AWS Global Education team offers a dynamic and innovative work environment where you will shape how the global education industry adopts these models on AWS.

The AWS Global Education team is looking for an experienced and strategic business development leader to build the education-specific generative AI go-to-market for EdTech, higher education, and ministries of education worldwide. Working in close collaboration with AWS's specialist, partner, and strategic accounts organizations, who lead the broader AWS-wide go-to-market with model providers, you will bring deep education expertise to shape strategies that fit how education customers evaluate, buy, and deploy AI. You will engage directly with senior leaders, including EdTech founders and CEOs, higher education Presidents and Provosts, CIOs, and senior government education officials, to drive net-new generative AI workloads on AWS.

In this role you will lead Innovation Acceleration engagements that help education customers use AWS and generative AI to launch new products and solutions that advance their strategic priorities. You will translate the lessons from these engagements into repeatable go-to-market strategies that AWS field teams apply across the global education industry, and you will create and drive net-new revenue opportunities in partnership with field, specialist, and partner teams. These engagements are aimed primarily at line-of-business leaders in addition to Central IT and directly drive customer and revenue outcomes.

This role is part of the AWS Global Education organization and supports customers globally. Candidates should be able to travel 25-35%.

Key job responsibilities

• Build and own the education-specific generative AI go-to-market, including co-sell strategies with model providers, for EdTech, higher education, and ministries of education globally, helping customers access leading models on Amazon Bedrock, including those from OpenAI and Anthropic, as well as open-weight models.
• Engage directly with senior education leaders through one-to-one and one-to-many engagements (executive meetings, workshops, conferences) to drive net-new generative AI workloads on AWS.
• Lead Innovation Acceleration engagements that help education customers use AWS and generative AI to launch new products and solutions aligned to their strategic priorities.
• Help build and expand the education go-to-market with current and emerging model providers, anticipating future entrants and where education demand is heading. Work in close collaboration with AWS's specialist, partner, and strategic accounts organizations, who lead the broader AWS-wide relationships, contributing education expertise to shape joint strategies.
• Serve as the Single-Threaded Owner (STO) of the education generative AI go-to-market portfolio, setting strategy and priorities across segments and regions.
• Partner with AWS Solutions Architects, the Generative AI Innovation Center (GenAIIC), and delivery partners who lead solution architecture and manage the handoff from engagement to build.
• Identify gaps in solutions for education customers and influence joint AWS and partner solution development.
• Provide thought leadership through events, white papers, blogs, and social media to build customer mindshare for generative AI on AWS across the education-domain.
• Distill learnings, themes, and best practices to inform go-forward global education strategic priorities.

About The Team

As part of the WWPS Global Education organization, the Global Education Acceleration Team helps EdTech companies, higher education institutions, and ministries of education innovate and grow with AWS. Working with customers and with AWS field, specialist, and partner teams around the world, the team runs Innovation Acceleration engagements that help education customers use AWS and generative AI to launch new products and solutions, Growth Acceleration engagements that support EdTech go-to-market and international expansion, and executive engagements that build senior relationships and open new opportunities. The team turns these results into repeatable strategies that AWS teams apply across the global education industry.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS?

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.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

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.

Work/Life Balance

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.

Basic Qualifications

• 6+ years of professional or military experience
• 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience

Preferred Qualifications

• Experience interpreting data and making business recommendations across leadership and cross-functional teams
• Experience presenting to both technical and non-technical executive audiences