BD Manager, GenAI, Global Education

Amazon; Arlington (VA); On-site; USD 148,000 - 200,000; Full time

Job summary

Amazon Web Services (AWS) Global Education is seeking an experienced business development leader to shape the education-specific generative AI go-to-market globally. You will collaborate with AWS specialist, partner, and strategic accounts teams to drive net-new workloads and revenue while engaging with EdTech leaders, higher education presidents, and government education officials.

You will lead Innovation Acceleration engagements and translate insights into repeatable GTM strategies for AWS

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 experience.

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.
• Engage directly with senior education leaders through one-to-one and one-to-many engagements 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.
• 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 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.

Skills

Go-To-Market

Data & AI

Leadership communication

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
• Experience managing programs across cross functional teams, building processes and coordinating release schedules

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, CA, San Francisco - 162,700.00 - 220,200.00 USD annually

USA, NY, New York - 162,700.00 - 220,200.00 USD annually

USA, TX, Austin - 147,900.00 - 200,100.00 USD annually

USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually

USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually