JobsCustomer Success ManagerNew YorkSenior Manager, Customer Success Specialists, Amazon Quick , AWS Specialist and Partner Organization
Amazon
Posted 5 days ago
Senior Manager, Customer Success Specialists, Amazon Quick , AWS Specialist and Partner Organization
Amazon · Mountain View, California, United States · also New York, New York, United States, Dallas, Texas, United States, Seattle, Washington, United States
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Questions about this role
- What does it pay?
- The posting lists $201,000–$312,800 a year.
The posting, in full
AWS is seeking a Senior Manager, Customer Success Specialists (CSS), Amazon Quick to lead a team of Service CSS driving enterprise adoption of Amazon Quick and AWS generative AI services. This is a people leadership role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, responsible for building, developing, and managing a team of customer-facing specialists who
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- AWS is seeking a Senior Manager, Customer Success Specialists (CSS), Amazon
- Quick to lead a team of Service CSS driving enterprise adoption of Amazon Quick
- and AWS generative AI services. This is a people leadership role within the AWS
- Specialists & Partners (ASP) Customer Success Center of Excellence, responsible
- for building, developing, and managing a team of customer-facing specialists who
- help enterprises move from AI experimentation to systematic business process
reinvention at scale with AWS AI services
- 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. Your team will own end-to-end
- adoption outcomes for a portfolio of strategic Quick customers, progressing them
- through the post-launch lifecycle and delivering measurable business value.
- You will set the operational cadence and quality bar for your team, ensure they
- have the skills, assets, and support to deliver customer outcomes, and partner
- closely with the rest of the Customer Success Center of Excellence team members
- (CS COE, who build scalable methodologies and assets) to create the flywheel
- between customer evidence and reusable patterns. You will also collaborate with
- the go-to-market, Forward Deployed Quick Engineers, partner-led CS (PLCS), and
- field roles to ensure seamless handoffs and coverage across the activation
- backlog.
- Note: Demonstrable experience leading customer-facing, AI-centric teams is a key
- requirement for this role. Prior individual experience as an AI practitioner,
- while valuable, is not sufficient. This role requires proven ability to build,
- coach, and scale a team of specialists who drive AI adoption outcomes across
- enterprise customer portfolios.
Key job responsibilities
Team Leadership & Development
- Recruit, develop, and retain a team of Amazon Quick Service CSS who own
- end-to-end adoption outcomes within assigned accounts. Set clear performance
- expectations around activation targets, customer success plan quality, lifecycle
- progression, and contribution to scalable assets.
- Coach CSS on executive engagement, change management execution, adoption
- architecture, and value storytelling. Ensure each CSS can run C-suite alignment
- sessions, drive deep enablement, build champion networks, and deliver measurable
- business outcomes independently.
- Lead the team operating cadence: weekly account reviews, monthly portfolio
- health checks, quarterly performance calibrations. Ensure operational excellence
- tooling entries are current, escalations are documented with impact data, and
- interventions are triggered within defined SLAs.
Customer Outcomes & Portfolio Management
- Own the aggregate activation and value realization outcomes across the team's
- Quick customer portfolio. Track monthly active-users (MAU), activation rates,
- and revenue realization metrics, feature adoption breadth and depth, and
- retention across assigned accounts. Intervene directly on strategic or at-risk
- accounts when needed.
- Manage portfolio assignment and coverage optimization: match CSS strengths to
- account complexity, balance workloads across the team, and coordinate with
- partner-led CS and other field roles to avoid gaps or duplication.
- Serve as the escalation point for account-level blockers that exceed CSS
- authority, including product blockers, competitive threats, executive sponsor
- disengagement, and partner performance issues. Escalate systemic patterns to CS
- COE leadership.
Strategic Customer Transformation
- Guide the team in translating AI strategy into account-specific execution:
- discovery sessions, use case identification by function (sales, finance, HR,
- legal), customer success plans tied to business KPIs, and phased rollout
- sequencing.
- Ensure each engagement produces a documented customer success plan within 30
- days of kickoff, with defined before/after KPIs per use case, activation targets
- by cohort, and a clear path through the lifecycle.
Operational Rigor & Governance
- Drive disciplined account management across the team. Ensure weekly
- operational excellence tooling updates[BS1.1], lifecycle progression
- documentation, and telemetry monitoring. Hold CSS accountable for intervention
- triggers: root cause analysis of stalled adoption, product blocker escalation
- with documented customer impact.
- Contribute to preparation for business reviews with account-level data,
- portfolio health summaries, and recommended strategic actions. Represent the
- Quick Service CSS portfolio in bi-weekly steering committee and monthly program
- reviews.
Cross-Functional Collaboration & Partner Support
- Collaborate with the rest of the CS COE teams: share field engagement
- patterns, customer evidence, and adoption insights that inform scalable asset
- development, while leveraging existing methodologies, playbooks, and tooling to
- accelerate the team's customer outcomes.
- Coordinate with Forward Deployed Quick Engineers on implementation-to-adoption
- handoffs, ensuring the transition from initial activation to scaled adoption is
- clean and well-documented.
- Support partner-led engagements by ensuring CSS provide advisory depth on
- Quick-specific adoption challenges and validate partner-delivered outcomes meet
- lifecycle criteria.
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 enterprise cloud strategies and distributed
applications
- 15+ 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
- 5+ years of experience managing and developing customer-facing teams (customer
success, consulting, or technical advisory), with demonstrated ability to
recruit, coach, and retain high-performing specialists
- Proven track record leading teams that drive AI or technology adoption
outcomes at enterprise scale, with measurable results in activation rates, value
realization, or revenue growth
- Deep expertise in enterprise business transformation and process reinvention,
- with direct experience overseeing teams that advise organizations through
- significant operational change (not just technology implementations)
- L200+ understanding of Amazon Quick capabilities (AI-powered search, research
- agents, custom agents, workflows, knowledge management) and the AWS AI services
- and AI concepts (Amazon Bedrock, SageMaker, foundational models, RAG
- architectures) with ability to guide team members on positioning technical
capabilities in business value terms
- Strong executive presence with demonstrated ability to influence C-suite and
- VP-level stakeholders on business strategy and operational transformation
- Preferred Qualifications: - Knowledge of Agile practices such as SCRUM, Kanban,
or SAFe
- Leadership & Team Development
- Experience building customer success teams from the ground up or scaling
existing teams through periods of rapid growth and organizational change
- Track record of developing individual contributors into high-performing
specialists through structured coaching, skill development, and exposure to
increasingly complex engagements
- Experience establishing team operating cadences, performance measurement
frameworks, and quality standards that drive consistency across a portfolio of
enterprise accounts
- Domain Expertise
- 5+ years of direct experience in enterprise AI adoption, business operations
transformation, or productivity initiatives at scale, with measurable outcomes
achieved
- Deep understanding of AI/ML capabilities for business operations including
knowledge management, research and analysis, decision support, workflow
automation, and agentic AI
- Experience managing teams through competitive displacement scenarios
(Microsoft Copilot, Google Gemini, Glean) with documented win strategies
- Technical & Platform Skills
- Hands-on experience with Amazon Quick, AWS AI/ML services (Bedrock,
SageMaker), or comparable enterprise AI platforms, sufficient to provide
technical guidance and unblock team members
- Understanding of enterprise data architectures, governance frameworks, and
integration patterns required for AI-powered business operations at scale
- Program & Delivery Excellence
- Experience managing customer portfolios with defined coverage models, tiered
engagement approaches, and structured escalation paths
- Demonstrated ability to balance team capacity across high-touch and
medium-touch engagement motions while maintaining outcome quality
- Ecosystem & Cross-Functional Collaboration
- Experience partnering with partner organizations, field teams, and product
teams to drive coordinated customer outcomes across multiple stakeholder groups
- Track record of building feedback loops between customer-facing teams and
product/engineering organizations that result in measurable product improvements
- 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 judgment, 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
- [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
- [https://amazon.jobs/en/benefits].
- USA, CA, Mountain View - 231,200.00 - 312,800.00 USD annually
- USA, NY, New York - 221,100.00 - 299,200.00 USD annually
- USA, TX, Dallas - 201,000.00 - 272,000.00 USD annually
- USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually
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