Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and Partner Organization

Amazon is hiring a Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and Partner Organization for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this customer service role Works on AI ●●●○: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions Bedrock, SageMaker and AWS among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.

AI in this role

Lead strategic customer transformation initiatives for AWS's AI-powered platform and generative AI software delivery tools.

bedrocksagemakerawsamazon-kiro

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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 (https://www.amazon.jobs/en/privacy_page) 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 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

Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and Partner Organization 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Customer Success Specialist - Agentic SDLC, AWS Specialist and Partner Organization is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London and is marked remote.
The job was posted on September 16, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Generative AICustomer SuccessSdlcChange ManagementConsultingBedrockSageMakerAWS

Also common in customer service jobs at this level

AI agents LLM SQL Machine learning Python Databricks

Pay

Typical customer service job: $100k

This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs

Questions you could be asked

Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where customer success was part of your work. What did you do?
Tell me about a project where sdlc was part of your work. What did you do?
Tell me about a project where change management was part of your work. What did you do?
Tell me about a project where consulting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Generative AI, Customer Success, Sdlc, Change Management, and Consulting. 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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