Only AI Jobs


Sr. Worldwide Partner Specialist - Database & Analytics, Data & AI GTM

ID: 4805

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, WA, Seattle; USA, VA, Arlington; USA, NY, New York; USA, CA, Mountain View; USA, CA, San Francisco; USA, TX, Dallas - New York - United States

Salary: 162,700.00 - 220,200.00 USD annually

Visit company vacancy
Job Description

Role Description

The Partner GTM organization within AWS is seeking a Partner Programs Strategy Lead to architect, scale, and orchestrate the end-to-end partner journey for Data & AI across AWS. This role is central to designing the strategic frameworks, programs, and resources that enable partner success throughout their Data & AI journey with AWS. You will be responsible for identifying gaps in the current partner experience, securing cross-organizational investments, and building scalable mechanisms that drive awareness and adoption of the partner journey through both direct partner engagement and field enablement.

This is a highly strategic role requiring exceptional program design capabilities, stakeholder management skills, and the ability to orchestrate complex initiatives across multiple AWS organizations including Partner Core, field teams, and product groups. You'll serve as the architect of the partner journey, ensuring we have the right programs and resources in place—whether self-managed by our team or delivered through partnerships with other AWS initiatives—to support our preferred partners' success in Data & AI.

A critical component of this role is creating and executing a comprehensive scaling and adoption plan that reaches partners through multiple channels: direct partner engagement, PDM (Partner Development Manager) and PDS (Partner Development Specialist) enablement, regional team coordination, and innovative GenAI tools and interfaces that streamline partner access to journey resources. Additionally, you will be the external face of AWS Data & AI partner programs, serving as a thought leader who continuously refines our approach based on market research, customer insights, and partner feedback.



Key job responsibilities
Partner Journey Strategy & Continuous Innovation

Own and continuously evolve the end-to-end Data & AI partner journey framework, building on the existing foundation to ensure it remains relevant and competitive
Conduct systematic gap analysis of current partner programs and experiences to identify improvement opportunities
Synthesize partner feedback, market research, and customer insights to inform journey evolution and influence team priorities and strategies
Maintain a big-picture view on health of partner investments and support across the journey, identifying where additional resources or program changes are needed
Create measurement frameworks to track partner progression and program effectiveness
Thought Leadership & External Brand

Serve as the external face and voice of AWS Data & AI partner programs at industry events, partner conferences, and executive forums
Collaborate with market research teams to ensure partner journey design reflects current customer needs, partner capabilities, and market dynamics
Publish thought leadership content that articulates the value of the Data & AI partner journey and showcases partner success stories
Build AWS's reputation as a thought leader in Data & AI partner ecosystem development
Program Orchestration & Investment Securing

Identify and secure the right mix of self-managed programs and cross-AWS initiatives to support the partner journey
Develop compelling business cases to secure budget allocations and organizational capacity commitments for priority partner programs
Build strong partnerships with AWS Partner Core, field organizations, and product teams to leverage existing programs and resources
Design governance models and operating mechanisms to ensure cohesive program delivery across multiple teams
Awareness & Adoption Scaling

Build scalable mechanisms to drive awareness of the Data & AI partner journey directly to partners and through PDM/PDS enablement
Create standardized messaging, playbooks, and toolkits that can be leveraged across field teams
Establish feedback loops with partners and field teams to continuously improve the journey experience
Design and implement innovative GenAI tools and interfaces that streamline partner access to journey resources and enable self-service adoption
Coordinate with regional teams to ensure localized execution of the scaling and adoption plan
Strategic Planning & Team Coordination

Support yearly operational and quarterly planning cycles by providing strategic input on partner journey priorities and resource needs
Facilitate team coordination activities to ensure alignment on partner programs strategy
Establish reporting mechanisms to track progress against partner journey metrics and team objectives

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

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience working and communicating with multiple stakeholders and cross functional teams including direct and channel marketing, solution architect teams, product management and account management teams
- Experience working with stakeholders to plan and execute programs that are strategic in nature
- Experience in external enterprise customer-facing role as a technical lead, with strong oral and written communication skills, presenting to both large and small audiences
- Experience in strategic planning

Preferred Qualifications

- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience with analytical tools and ability to dive deep into metrics and reporting
- 4+ years of market research analyst, product manager, or equivalent experience

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.

Pursuant to the San Francisco 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 - 162,700.00 - 220,200.00 USD annually
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Dallas - 147,900.00 - 200,100.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually

Company Information

Company Name: Amazon Web Services, Inc.

Company Website: https://aws.amazon.com

Company Address: 410 Terry Ave N, Seattle, WA 98109-5210, United States

Amazon Web Services, Inc. (AWS) is the cloud computing and infrastructure arm of Amazon.com, Inc., offering a broad and evolving portfolio of on-demand cloud services, platform services, and infrastructure products for organizations of all sizes. Founded to provide scalable, reliable, and cost-effective computing resources over the internet, AWS enables customers to deploy and run applications and services without the need to build and maintain physical datacenters. The company’s public materials describe it as a provider of on-demand cloud computing platforms and APIs to individuals, companies, and governments, supplying infrastructure and higher-level services that accelerate application development, data processing, storage, and global delivery. Core business activities: AWS’s primary business is the design, operation, and delivery of cloud-based computing resources and managed services. That includes offering virtualized compute capacity, object and block storage, database engines (managed relational and NoSQL), networking primitives, identity and access management, security and compliance tooling, analytics and big-data processing stacks, machine learning and AI services, developer and application deployment tools, serverless computing, container orchestration services, content delivery, and Internet of Things (IoT) connectivity. AWS also provides enterprise-focused offerings such as hybrid cloud solutions, migration services to assist organizations in moving on-premises workloads to the cloud, managed operations and support plans, professional services, and training and certification programs for IT professionals. Main products and services: AWS’s product set spans foundational infrastructure to highly managed, domain-specific offerings. Key foundational services include Amazon Elastic Compute Cloud (EC2) for virtual servers, Amazon Simple Storage Service (S3) for scalable object storage, and Amazon Virtual Private Cloud (VPC) for isolated networking. Managed database and data services include Amazon Relational Database Service (RDS), Amazon Aurora (a high-performance relational database), Amazon DynamoDB (a fully managed NoSQL database), Amazon Redshift (a petabyte-scale data warehouse), and Amazon ElastiCache (in-memory caching). For compute modernization, AWS provides AWS Lambda (serverless compute), Amazon Elastic Kubernetes Service (EKS), and Amazon Elastic Container Service (ECS). AWS’s advanced and specialized services include Amazon SageMaker for building, training, and deploying machine learning models; Amazon Rekognition for computer vision; Amazon Comprehend for natural language processing; AWS Glue and AWS Data Pipeline for ETL and data integration; and AWS IoT Core for connecting and managing Internet of Things devices. Application delivery and developer tooling include Amazon API Gateway, AWS CloudFormation for infrastructure as code, AWS CodePipeline and CodeBuild for CI/CD, and Amazon CloudFront for content delivery across a global edge network. The AWS Marketplace and AWS Partner Network (APN) provide channels for third-party software, consulting partners, and managed service providers to offer products and services that run on or integrate with AWS. Infrastructure, delivery model, and pricing: AWS operates a global infrastructure composed of multiple geographic Regions, each containing multiple Availability Zones—physically separate data center locations engineered for fault isolation and high availability. This global footprint supports data residency, low-latency delivery, and resilience for customers deploying distributed systems. AWS’s commercial model emphasizes flexible consumption and cost control: customers commonly choose pay-as-you-go billing for on-demand resources, with options for reserved capacity, savings plans, and spot instances to reduce costs for predictable or interruptible workloads. Support tiers and managed services are available at varying cost and service-level commitments. Security, compliance, and governance: AWS provides a suite of security and identity services—such as AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS CloudTrail, and AWS Config—to help customers secure environments, manage access, encrypt data, and demonstrate compliance. AWS documents participation in standard industry compliance frameworks and certifications, and publishes detailed security and compliance resources to help customers meet regulatory obligations. Customer segments and use cases: AWS serves a broad range of customers that include startups, established enterprises, public sector organizations, educational institutions, and independent software vendors. Common use cases include web and mobile application hosting, data analytics and warehousing, machine learning and AI workloads, backup and disaster recovery, IoT deployments, gaming infrastructure, and enterprise application modernization. AWS emphasizes scalability, elasticity, and rapid provisioning to support development velocity and business agility. Ecosystem, training, and partner network: AWS supports a large ecosystem of technology and consulting partners that build, certify, and deliver solutions on the platform. The company offers official training, certifications, and documentation to help developers, architects, and IT professionals gain proficiency on its services. AWS Marketplace and partner programs provide channels for third-party software procurement and professional services. Business model and positioning: AWS generates revenue principally through consumption-based fees for cloud services and through related professional services and support offerings. It competes in the global cloud infrastructure market with other major cloud providers by focusing on breadth of services, global infrastructure, developer tooling, partner ecosystem, and continuous release of new managed services. AWS positions itself as an enabler for digital transformation by reducing the capital and operational burden of running infrastructure, allowing customers to focus on application development and business innovation. For additional, up-to-date, and authoritative information on product details, global infrastructure, security programs, and service announcements, AWS’s official website and documentation pages provide comprehensive resources and customer-facing materials.
Visit company vacancy