BD Manager, GenAI, Global Education

Amazon

San Francisco, CA

JOB DETAILS
SALARY
$162,700–$220,200 Per Year
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Blog, Business Development, Business Skills, Channel Strategies, Compensation Management, Conferences, Customer Support/Service, Disability Accommodations, Establish Priorities, Higher Education, Leadership, Machine Learning, Military, Onboarding, Product/Service Launch, Project/Program Management, Sales Strategy, Social Media, Strategic Accounts, Strategic Planning, Technical Presentation, Thought Leadership, White Papers
LOCATION
San Francisco, CA
POSTED
Today

DescriptionWould 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.About the TeamAs 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.Key job responsibilitiesBuild 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 with 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.Basic Qualifications6+ years of professional or military experience3+ years of Go‑To‑Market, Business Development, Sales, or Consulting experience3+ 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 experiencePreferred QualificationsExperience interpreting data and making business recommendations across leadership and cross‑functional teamsExperience presenting to both technical and non‑technical executive audiencesExperience managing programs across cross‑functional teams, building processes and coordinating release schedulesEqual Opportunity EmployerAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.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 for more information.Compensation and BenefitsThe base salary range for this position is 162,700.00 - 220,200.00 USD annually. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, and other benefits. Final compensation is determined by experience, qualifications, and location.#J-18808-Ljbffr

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles