[Yr623] - Emea Partner Specialist, Generative Ai, Emea Partner Management
hace 2 semanas
This role can be based in any of EMEA cities where AWS has an office Amazon Web Services (AWS) is looking for a world class partner and alliance leader to join the EMEA Partner Specialists team to lead generative AI (genAI) applications efforts with Partners in EMEA.
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.
The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.
AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Within SMGS, as a Partner Development Specialist (PDS) for GenAI Apps, you will have an exciting opportunity to deliver on our strategy to accelerate adoption of AWS GenAI through Independent Software Vendors (ISVs) and Solution Providers (SPs).
EMEA is a land of buyers - customers face challenges identifying and implementing viable genAI use cases to move to production, especially those with a "buy" versus "build" culture.
This creates opportunities for AWS partners to absorb the "build" effort through horizontal and vertical Line Of Business (LoB) solutions and applications independently of the AWS technology used (e. g. Amazon Q, Amazon Bedrock, Amazon SageMaker).
Partners who embrace this turnkey mindset are critical to increase the likelihood of a genAI production deployment for many of our customers.
As the EMEA genAI applications leader, you will own mechanisms of a fast growing subset of the top layer of the AWS genAI stack for partners building on AWS genAI services such as Amazon Bedrock or specialized chips to offer ready-made applications to customers looking to buy, not build.
10010 Key job responsibilities 1.
Partner Identification and Recruitment : Identify and onboard must-recruit SaaS / ISV partners and leading SIs developing leading genAI applications on AWS in the AWS Partner Network (APN).
2.
Partner Enablement and Competency Development : Bring the right applications providers to the genAI competency and provide thought leadership to the ISV & Start-up teams on "whitespace" opportunities for partners based on apps / solutions supply versus use case demand.
3.
Go-to-Market Strategy : Identify top use cases for applications across verticals and horizontals, connecting back to the AWS genAI 3-layer approach, and help the field discover Partner solutions and applications against these use cases.
4.
Solution / Use Case Discussions : Lead solution / use case discussions with partner executives and Line of Business (LoB) buyers from ideation to go-to-market.
5.
Partner Sales Enablement : Work with Partner Sales, creating the right interlock between customer demand and partner solutions / applications to ensure the best match.
6.
Cross-functional Collaboration : Collaborate with AWS internal teams, including partner managers, solution architects, sales, product, BD, marketing, and solution teams, to align and enable the partner ecosystem.
7.
Ecosystem Growth : Continuously identify and pursue growth opportunities for the genAI applications partner ecosystem, staying ahead of market trends and customer demands.
8.
Reporting and Governance : Prepare and run business reviews, and governance processes to track partner progress and achievement of joint business goals.
In this role, you will play a pivotal part in shaping AWS's GenAI applications strategy, enabling our partners to deliver innovative, ready-to-use solutions that leverage the power of GenAI.
You will be at the forefront of driving digital transformation across various industries, collaborating with cutting-edge partners and AWS teams to create impactful customer outcomes.
About the team Diverse Experiences 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.
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 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.
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 in the cloud.
BASIC QUALIFICATIONS - Experience in partner ecosystem development, channel sales management, or business development in the technology / cloud services industry, including the ability to build and grow profitable technology partnerships and ecosystems.
- Solid understanding of AI / ML, generative AI, and cloud-based applications.
- Experience in creating and executing joint solution strategies, go-to-market plans, and enablement programs with partners.
- Strong communication, presentation, and negotiation skills, and ability to engage and influence executives and decision-makers.
- Bachelor's degree or equivalent, and experience using data and metrics to determine and drive improvements PREFERRED QUALIFICATIONS - Experience in online advertising or high-tech products / services - Strong personal network within the AI / ML and software application partner ecosystem.
- Experience in specific industry verticals or horizontal use cases relevant to genAI applications, including understanding of AWS services and usage models, specifically AWS AI / ML Services - Computer Science background or an MBA degree and strong technical acumen and understanding of software application development and deployment.
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