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

Amazon

Seattle (WA)

On-site

USD 183,000 - 247,000

Full time

14 days+

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Job summary

Amazon AWS is seeking a Principal Customer Success Specialist for AI-Driven Digital Product Delivery. You will lead strategic transformation initiatives for customers adopting Amazon Kiro and AWS Gen AI to modernize their SDLC and accelerate enterprise software delivery.

You will shape methodologies, playbooks, and frameworks, influence product roadmaps and GTM strategies, and collaborate with partners to scale high-value customer outcomes worldwide.

Qualifications

  • AWS certification at senior level or equivalent cloud certification.
  • 10+ years in senior customer-facing roles delivering strategic transformation.
  • 10+ years leading large-scale software development transformation in enterprise contexts.
  • Proven track record scaling customer success programmes and transformation frameworks.
  • Experience advising organisations through significant SDLC reinvention initiatives.
  • Experience leading enterprise change management for AI/adoption in development contexts.

Responsibilities

  • Design and lead AI-driven digital product delivery transformation strategies for enterprise customers.
  • Build repeatable transformation methodologies, maturity models, and assessment frameworks.
  • Co-develop transformation offerings with strategic consulting partners and enable partner-led delivery.
  • Monitor transformation health and drive measurable business value like velocity and time-to-market.
  • Develop thought leadership content and influence AWS product roadmaps.

Skills

AWS Certification
Executive presence
Senior customer-facing experience
SDLC transformation
AI-driven transformation
Change management
Strategic consulting
Product roadmaps influence

Tools

Amazon Kiro
AWS Gen AI platforms
SageMaker
Bedrock

Job description

AWS is seeking a Principal 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 organisations 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, organisational 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 programmes, 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 realisation (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 recognised 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
  • AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
  • 10+ 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 programmes with significant technology enablement components in enterprise contexts
  • Proven track record developing and scaling customer success programmes or transformation methodologies, including creating original frameworks adopted broadly by large teams or partner organisations
  • Deep expertise in enterprise software development lifecycle transformation and engineering practices modernisation, with direct experience advising organisations 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/SCRUM/Agile certification or are you SAFe certified
  • 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 modernisation 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 synthesise 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
  • PMP, SCRUM, Agile, or SAFe certification with demonstrated track record driving measurable business outcomes (development velocity, quality improvement, time‑to‑market reduction) in enterprise transformation initiatives
  • Experience designing large‑scale organisational change management programmes for engineering organisations including communication, training, and adoption measurement systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgement, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

  • USA, CA, Mountain View - 210,200.00 - 284,300.00 USD annually
  • USA, NY, New York - 201,000.00 - 272,000.00 USD annually
  • USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually
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