The posting
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.
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Work/Life Balance
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- 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)
- 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
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