EMEA Partner Lead, Amazon Quick, EMEA Partner Specialist team

AI in this role

Lead the EMEA partner strategy for Amazon Quick, driving cloud and AI adoption through ISV and GSI ecosystems.

aws

partner-strategygo-to-marketb2b-salescloud-computing

Amazon Web Services (AWS) is looking for a world class partner strategy leader to join the EMEA Partner Specialist team to lead the partner strategy for Quick. As an EMEA Partner Lead for Quick, you will have an exciting opportunity to deliver on our strategy to accelerate Quick adoption within partners of all types. You will help them identify and create business opportunities by developing and executing go-to-market and enablement plans that lead to a healthy business pipeline, joint customer wins and market success.
In this endeavor, you will collaborate with a number of AWS internal teams including partner managers, solution architects, sales, BD, marketing, and solution teams to position and deliver these capabilities internally and to customers. The AWS Partner organization will look to you as the expert on Quick across partner types, use cases, and how to drive AWS market success through partners.

Focus Areas
The EMEA Quick Partner Lead will focus on the following actions to address the partner needs in the EMEA territory:
1. Identify industry-specific and horizontal use cases and solution offerings across EMEA regions;
2. Actively engage with mature and emerging partners whose offerings align to Quick use cases;
3. Identify and recruit horizontal or niche partners we need in the ecosystem;
4. Lead enablement of our partner ecosystem (ISVs, SIs and GSIs) on Amazon Quick;
5. Enablement of the EMEA ASP organization on Amazon Quick. Success will be measured by # net new “must win” partners building on Quick, # partner practitioners enabled on Quick in EMEA (via PDM/PSA or PDS), # partners solutions launched, # customer references / case studies , # thought leadership (tech content, public speaking), # AO + PO Launched $ARR.

Role could be based in other EMEA AWS offices.

Key job responsibilities
• Develop and lead the partner strategy and execution plan to grow the Amazon Quick partner community in EMEA
• Collaborate with AWS teams and with partners to bring Amazon Quick solutions to market to meet customer needs, with measurable ROI results
• Prioritise AWS engagement with partners who focus on the data & AI domain, including leading startups, consulting companies, and established ISV technology vendors
• Build C-level relationships with our top data & AI partners
• Work with cross-functional groups in AWS to deliver training, enablement and go-to-market programs that scale the partner business across the data & AI domain

Basic Qualifications
• 15+ years of sales, consulting, partner management, or business development in the data & AI space.
• Experience in shaping and driving partner alliances. Candidate should understand challenges, dynamics, and mechanisms to structure and drive success through such relationships.
• 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 data and AI practices with consulting partners for other technology providers.
• Experience with AWS partners and understanding of the AWS partner ecosystem.
• Understanding of prevailing business and technology trends and solutions in data and AI space that either inhibit or accelerate enterprise adoption across different use cases.

About the team
Diverse Experiences
Amazon 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.

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.

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 and 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.

Basic qualifications

- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience in Go-To-Market, Business Development, Sales, or Consulting
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience in business development, partner development, sales or alliances management
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Master's degree or above in management, business administration, economics, engineering, marketing
- 15+ years of sales, consulting, partner management, or business development in the databases, analytics, and data platform space.

Preferred qualifications

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Experience in building data and analytics practices with consulting partners for other technology providers.
- Experience with AWS partners and understanding of the AWS partner ecosystem.
- Understanding of prevailing business and technology trends and solutions in data, analytics and AI space that either inhibit or accelerate enterprise adoption across different use cases.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

How we rate this

EMEA Partner Lead, Amazon Quick, EMEA Partner Specialist team at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

EMEA Partner Lead, Amazon Quick, EMEA Partner Specialist team is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in ES, M, Madrid.
The job was posted on October 7, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Partner StrategyGo To MarketB2b SalesCloud ComputingAWS

Questions you could be asked

Tell me about a project where partner strategy was part of your work. What did you do?
Tell me about a project where go to market was part of your work. What did you do?
Tell me about a project where b2b sales was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Partner Strategy, Go To Market, B2b Sales, Cloud Computing, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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