At a Glance
- Tasks: Lead transformative AI-driven digital product delivery strategies for enterprise customers.
- Company: Join AWS, the world's leading cloud platform, known for innovation and inclusivity.
- Benefits: Enjoy flexible work-life balance, mentorship, and career growth opportunities.
- Other info: Diverse experiences are valued; apply even if you don't meet all qualifications.
- Why this job: Make a real impact by revolutionising software development with cutting-edge AI technologies.
- Qualifications: Experience in customer success management and software development transformation is essential.
The predicted salary is between 63000 - 77000 £ per year.
AWS is seeking a Senior Customer Success Specialist - AI Driven Digital Product Delivery to lead strategic transformation initiatives for organizations adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. 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 software development lifecycle using AI.
Amazon Kiro is AWS's AI-powered platform that transforms how organizations build software, from requirements gathering and architecture design to code generation, testing, and deployment. This role focuses on helping customers move beyond AI-assisted coding to systematic AI-driven digital product delivery transformation at enterprise scale. You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-driven digital product delivery transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of organizations globally.
Key job responsibilities
- Strategic Customer Transformation - Design and lead comprehensive AI-driven digital product delivery transformation strategies for enterprise customers adopting Amazon Kiro and AWS Gen AI services, addressing SDLC modernization, engineering culture evolution, 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-assisted development to systematic agentic SDLC transformation 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/DevOps consultancies) and support partner-led 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 (development velocity, quality improvement, time-to-market reduction, developer productivity) through structured success planning and executive business reviews.
- Thought Leadership & Innovation - Develop a point-of-view content, maturity models, and best practices for AI-driven digital product delivery transformation that establish AWS intellectual leadership. Influence Amazon Kiro product roadmap through synthesized customer insights and represent AWS as a recognized expert at industry forums and executive events.
About the team
Diverse Experiences AWS 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.
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 & 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.
Basic Qualifications:
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines
- 7+ years of experience in senior customer-facing roles including customer success management, strategic consulting, or digital transformation advisory, with direct accountability for enterprise customer outcomes
- 10+ years leading complex, large-scale software development transformation or engineering modernization programs with significant technology enablement components in enterprise contexts
- Proven track record developing and scaling customer success programs or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organizations
- Deep expertise in enterprise software development lifecycle transformation and engineering practices modernization, with direct experience advising organizations through significant SDLC reinvention initiatives (not just tool implementations)
- Demonstrated experience leading enterprise change management initiatives involving AI/automation adoption in software development contexts, including engineering culture transformation and adoption measurement
- Strong executive presence with demonstrated ability to influence C-suite and VP-level stakeholders on engineering strategy and digital product delivery transformation (not just technology decisions)
Preferred Qualifications:
- PMP certification, or SCRUM/Agile, SAFe certification
- Experience implementing cloud services including migrations and modernization projects or similar
- L300+ understanding of Amazon Kiro capabilities (AI-powered code generation, testing, documentation, architecture assistance) and the AWS Gen AI platform (Amazon Bedrock, SageMaker, foundational models, agentic frameworks) with ability to articulate technical capabilities in business value terms to executive audiences
- 5+ years of direct experience in software development transformation, DevOps/platform engineering, or enterprise SDLC modernization initiatives at scale, with measurable outcomes achieved
- Deep understanding of AI/ML capabilities for software development including code generation, automated testing, documentation generation, architecture assistance, and agentic development workflows
- Demonstrated ability to synthesize complex customer insights into actionable strategic frameworks with broad applicability across industries
- Hands-on experience with Amazon Kiro, AWS AI/ML services (Bedrock, SageMaker), or comparable AI-powered development platforms in customer-facing delivery contexts
- Understanding of modern software development practices (CI/CD, DevSecOps, platform engineering), cloud-native architectures, and integration patterns required for AI-driven development workflows
- Experience designing large-scale organizational change management programs for engineering organizations including communication, training, and adoption
- Experience building partner ecosystems and enablement programs, including co-developing transformation methodologies with strategic consulting partners
- Published thought leadership in software development transformation, AI-powered development, or engineering 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. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and PartnerOrganization in Manchester employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and PartnerOrganization in Manchester
✨Get to Know the Company Culture
Before jumping into applications, it’s super helpful to understand the vibe at Amazon. Check out their social media, read reviews on sites like Glassdoor, and see how they engage with customers. It'll give you clues on their values and help tailor your conversation during interviews.
✨Join Customer Support Communities
Dive into online communities like those on Reddit or LinkedIn where customer support pros hang out. Participating in discussions or asking questions can make you more visible to potential recruiters and help you learn about job openings at companies like Amazon before they even post them.
✨Attend Job Fairs or Networking Events
Look out for local job fairs or events specifically for customer support roles. This is your chance to meet hiring managers face-to-face, and you might even get the opportunity to interview on the spot!
✨Show Off Your Skills with Customer Interactions
In the customer support world, showcasing your communication skills is key. Consider creating a short video introducing yourself or even doing a mock call to showcase your abilities. It's a memorable way to stand out, especially if you can share this during your interview process!
We think you need these skills to ace Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and PartnerOrganization in Manchester
Some tips for your application 🫡
Show Off Your Communication Skills:In customer support, clear communication is key. Make sure your CV highlights any experience you've had in customer-facing roles and your ability to resolve issues. Don't shy away from including specific examples of how you've gone above and beyond to help customers – this really shows your potential in the role.
Tailor Your Cover Letter to Amazon:Your cover letter is your chance to shine! Tell us why you want to work at Amazon specifically. Mention any unique aspects of our company that resonate with you and how your skills can enhance our customer support. This personal touch will set your application apart from the rest!
Highlight Any Relevant Tools or Tech Skills:If you've used customer support software like Zendesk or Freshdesk or have experience with CRM systems, make sure to mention these in your application. Being familiar with industry-standard tools can be a big plus for us when we’re reviewing applications, as it shows you can hit the ground running!
Demonstrate Your Problem-Solving Skills:Customer support roles often require a knack for problem-solving. In your application, share examples of past experiences where you've tackled tough situations or resolved conflicts effectively. This will give us a good sense of how you handle challenges—an essential skill for success at Amazon!
How to prepare for a job interview at Amazon
✨Show Off Your People Skills
In customer support, it's all about communicating effectively. Prepare to share instances from your past experiences where you handled difficult customers or resolved conflicts. We want to hear how you empathised and found the best solutions, so think of specific examples to back up your stories!
✨Know the Tools of the Trade
Familiarise yourself with common customer support tools like Zendesk or Freshdesk, and make sure to review how you’ve used any similar systems in the past. During the interview, being able to discuss your hands-on experience with software or ticketing systems can really set you apart from the competition, so don’t skip this prep!
✨Show Genuine Enthusiasm
As this is a full-time role, employers want someone who isn’t just looking for any job, but wants to grow within customer support. Make sure to express your enthusiasm for helping customers and your desire to develop your skills. Show them why you're passionate about this field!
✨Practice Common Scenarios
Be prepared for role-playing scenarios where you might have to reassess a solution with a frustrated customer or explain a complex process in simple terms. Practising these common scenarios can help us feel more confident and demonstrate our practical skills effectively during the interview.
