EMEA Industry Partner Lead, Generative AI, GenAI Partner specialists Full-time

Amazon Web Services (AWS) is looking for a world class leader to join the EMEA Partner Specialist team and lead industry specific adoption of GenAI in the region throuigh top tiers AWS partners.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Within SMGS, The GenAI Industry and Partner Solutions Leader is an AI/ML recognized subject matter expert who owns the strategy, execution, and refinement of mechanisms across AWS GenAI stacks. This role fosters the creation of industry-specific solutions and applications built on AWS. Responsibilities include identifying and onboarding industry partners leveraging AWS GenAI through the APN, helping inventory or develop industry solutions with existing partners, or creating GenAI factories with partners to help customers rapidly develop POCs leading to production workloads across various verticals. This role supports scaling AWS GenAI Innovation Center efforts through prioritised partners (GSPs, NSIs, etc.) that can set up their own industry specific POC-to-production mechanism on top of AWS.

During the go-to-market stage, this leader develops, maintains, and enriches a catalog of services and solutions (assets, enablement, repeatable thought leadership activities, book of offers). They collaborate with Enablement and Marketing teams to help Partner Development Managers (PDMs) drive industry-specific partner-attached pipeline. In the sales phase, they support GenAI revenue realization strategies. As an expert on partner-developed IP and services related to AWS GenAI, they deliver thought leadership through high-visibility speaking engagements, Executive Briefing Center (EBC) support, and thought leadership initiatives for the EMEA region.

The GenAI Industry and Partner Solutions Leader will focus on the following actions to address the industry specific Gen AI customer needs in EMEA:

1/ Collaborate with GenAI GTM, AWSI, and APO teams to prioritise and expose top industry use cases;

2/ Map top use cases to corresponding Partner Practices and Products;

3/ Actively engage with mature and emerging Gen AI partners that have offerings that align to industry use cases;

4/ Help Pilot industry specific GenAI factories among top partners to accelerate path to prod within prioritised industries;

5/ Lead enablement of targeted Partners’ teams so they give AWS leverage;

6/ Interlock with the field to promote the Partner route for industry specific GenAI hands-on projects

About the team

Diverse Experiences

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BASIC QUALIFICATIONS

– 15+ years of sales, consulting, partner management, or business development in the AI/ML and GenAI space.

– Experience in shaping and driving partner alliances. Candidate should understand challenges, dynamics, and mechanisms to structure and drive success through such relationships

– Understanding of prevailing business and technology trends and solutions in cloud AI/ML and GenAI space that either inhibit or accelerate enterprise adoption across different use cases.

– Strong organizational skills and attention to detail with the ability to set clear priorities in a fast paced, dynamic work environment

PREFERRED QUALIFICATIONS

– Experience in building GenAI business with consulting partners for other technology providers.

– Experience in mentoring or managing a team focused on partner management.

– Experience with AWS partners and understanding of AWS partner ecosystem.

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Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.