At a Glance
- Tasks: Lead transformative AI strategies for enterprise customers using Amazon Quick and AWS Gen AI.
- Company: Join Amazon, a leader in cloud technology and innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Be part of an inclusive team that values diversity and innovation.
- Why this job: Shape the future of business with cutting-edge AI solutions and make a global impact.
- Qualifications: 10+ years in customer success or business transformation, with deep AI expertise.
The predicted salary is between 80000 - 100000 £ per year.
AWS is seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their business processes using AI.
Amazon Quick is AWS's enterprise AI platform that enables organizations to transform how work gets done, from knowledge management and research to decision-making and operational workflows. This role focuses on helping customers move beyond AI experimentation to systematic business process reinvention at enterprise scale.
You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-powered business planning, execution, and operation transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of enterprises globally.
Key job responsibilities- Strategic Customer Transformation: Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment.
- Offering Development & Scaling: Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale. Synthesize learnings from customer engagements into documented playbooks, best practices, and success patterns that inform AWS product roadmap and GTM strategy.
- Partner Ecosystem Enablement: Co-develop transformation offerings with strategic consulting partners (GSIs, SIs, boutique AI consultancies) and support the partner-led organization as they create enablement programs, including training, certification, and delivery toolkits, that scale high-quality customer success delivery through the partner ecosystem.
- Customer Success Management: Monitor customer transformation health and proactively address adoption barriers while driving measurable business value realization (productivity gains, cost reduction, decision quality improvement) through structured success planning and executive business reviews.
- Thought Leadership & Innovation: Develop leading point-of-view content, maturity models, and best practices for AI-powered business execution transformation that establish AWS intellectual leadership. Influence Amazon Quick product roadmap through synthesized customer insights and represent AWS as a recognized expert at industry forums and executive events.
Experience leading large enterprise transformations with AWS/cloud services.
10+ years of experience in senior customer-facing roles including customer success management, strategic consulting, or business transformation advisory, with direct accountability for enterprise customer outcomes.
15+ years leading complex, large-scale business transformation or organizational change programs with significant technology enablement components in enterprise contexts.
Deep expertise in enterprise business execution and process transformation, with direct experience advising organizations through significant operational reinvention initiatives (not just technology implementations).
L300+ understanding of Amazon Quick capabilities (AI-powered search, research agents, custom agents, workflows, knowledge management) and the AWS Gen AI platform (Amazon Bedrock, SageMaker, foundational models, RAG architectures) with ability to articulate technical capabilities in business value terms to executive audiences.
Demonstrated experience leading enterprise change management initiatives involving AI/automation adoption, including organizational capability building and adoption measurement.
AWS certification, such as, AWS Solutions Architect, or a similar cloud certification.
Proven track record developing and scaling customer success programs or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organizations.
5+ years of direct experience in business operations transformation, process optimization, or enterprise productivity initiatives at scale, with measurable outcomes achieved.
Strong executive presence with demonstrated ability to influence C-suite and VP-level stakeholders on business strategy and operational transformation (not just technology decisions).
Deep understanding of AI/ML capabilities for business operations including knowledge management, research and analysis, decision support, workflow automation, and agentic AI for autonomous task execution.
Demonstrated ability to synthesize complex customer insights into actionable strategic frameworks with broad applicability across industries.
Hands-on experience with Amazon Quick, AWS AI/ML services (Bedrock, SageMaker), or comparable enterprise AI platforms in customer-facing delivery contexts.
Understanding of enterprise data architectures, governance frameworks, and integration patterns required for AI-powered business operations.
PMP, SCRUM, Agile, or SAFe certification with demonstrated track record driving measurable business outcomes (productivity improvement, cost reduction, decision quality) in enterprise transformation initiatives.
Experience designing large-scale organizational change management programs including communication, training, and adoption measurement systems.
Experience building partner ecosystems and enablement programs, including co-developing transformation methodologies with strategic consulting partners.
Published thought leadership in business transformation, AI adoption, or enterprise productivity, with track record influencing product roadmaps through customer insight synthesis.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence in London employer: AWS.
At AWS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programs and opportunities to lead transformative projects in the rapidly evolving field of generative AI. Located in a vibrant tech hub, we provide our team with unique advantages, including access to cutting-edge technology and a diverse, inclusive environment that empowers every individual to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at AWS, especially those in customer success roles. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into AWS's generative AI offerings. Show us you know your stuff about Amazon Quick and how it can transform businesses. We love candidates who can speak our language!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've led enterprise transformations or tackled customer success challenges. We want to hear about your impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who want to make a difference in customer success.
We think you need these skills to ace Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and business transformation. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Strategic Vision:In your application, emphasise your ability to think strategically about customer success and transformation. We’re looking for someone who can not only execute but also define methodologies that drive real change.
Highlight Your Customer Engagement Experience:We love candidates who have a strong background in customer-facing roles. Share specific examples of how you’ve influenced C-suite stakeholders or led successful transformation initiatives in your previous positions.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at AWS.
✨Know Your Stuff
Make sure you have a solid understanding of AWS's generative AI platform and Amazon Quick. Brush up on the technical capabilities and be ready to articulate how they can drive business value. This will show that you're not just familiar with the tools, but that you can leverage them strategically.
✨Showcase Your Experience
Prepare to discuss your past experiences in leading enterprise transformations and customer success initiatives. Use specific examples that highlight your ability to influence C-suite stakeholders and drive measurable outcomes. This will demonstrate your credibility and strategic vision.
✨Be a Thought Leader
Think about how you can contribute to AWS's thought leadership in AI-powered business execution transformation. Bring ideas or frameworks you've developed in previous roles that could be relevant. This shows initiative and aligns with the role's focus on innovation.
✨Engage with Questions
Prepare insightful questions that reflect your understanding of the role and the challenges AWS faces in customer success. This not only shows your interest but also your strategic thinking. Ask about their current methodologies or how they envision the future of AI in business processes.
