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Sr. GenAI Partner Dev Mgr, AMER Tech Partners - GenAI ISVs Team

ID: 4704

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, WA, Seattle - Seattle - United States

Salary: 147,900.00 - 200,100.00 USD annually

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Job Description

AMER Tech Partners team manages ISV partnerships including GenAI ISVs which offers Generative AI capabilities and Tech ISVs who are integrating GenAI capabilities into their core offerings. Generative AI is key strategic focus area for this team as well as for our partners. Principal GenAI Tech Partner Development Mgr leads go-to-market strategy and partnership relationship of one of our strategic Generative AI ISVs. As a partner development manager within AWS, you will have the exciting opportunity to build mind share and adoption of the AWS cloud computing platform within the Generative AI domain.

You'll be at the forefront of the latest in GenAI GTM, working with the partner who are leading this category and shaping the future of technology. Every day brings new opportunities to learn, innovate, and make a meaningful impact on the industry. If you're someone who thrives in a fast-paced environment, is passionate about emerging technologies, and wants to be part of a team that's defining the future of GenAI, we want to hear from you. Join us in our mission to scale GenAI initiatives across the AMER region and help our partners unlock new possibilities in the world of GenAI. This is more than just a role – it's an opportunity to be part of a team that's writing the next chapter of scaling GenAI.

Key job responsibilities
- Work with a strategic Generative AI ISV partner to define and execute joint sales and Go-to-Market (GTM) programs.
- Serve as a key member of the Partner and Business Development teams in executing the GTM across AMER.
- Engage assigned Generative AI partner field sales organizations, channels and end customers to create and drive revenue opportunities for AWS.
- Create a strategic partner development plan for the assigned Generative AI partner, and ensure it's in line with the overall AWS Generative AI strategy. This includes developing detailed partner plans to manage and track the progress of partner organization and achievement against partner goals.
- Set and manage revenue targets and work with the partner and AWS sales organizations to achieve/exceed goals.
- Manage and close a pipeline of relevant customer opportunities associated with assigned Generative AI partner.
- Work with the Generative AI team to execute the strategic business plan by engaging key internal stakeholders (e.g. solutions architects, services teams, marketing, PR, legal, support, etc.).
- Work closely with Generative AI partners’ customer base to ensure they are successful using AWS services.
- Establish AWS as the Generative AI partners’ preferred cloud computing platform across all product and service lines.
- Understand the technical requirements of our Generative AI solution providers and work closely with the internal development team to guide the direction of our product offerings and joint partner solutions.
- Work with CRM systems, data warehousing and other analytic tools to establish detailed metrics for tracking purposes.
- Prepare and give business quarterly business reviews to the senior management team.
- Manage complex contract negotiations and serve as a liaison to the legal group.

A day in the life
-Collaborate with partners for build, market and co-sell activities to drive the efforts outlined in the partner plan.
-Lead regular cadence with key stakeholders to drive partner activities.
-Facilitate cross-functional meetings with other AWS GTM teams to review partner initiative progress, address challenges and new initiatives/actions based on the partner feedback.
-Analyze partner performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.
-Manage stakeholder communications, and provide guidance on GenAI initiatives as needed.
-Stay on top of market development happening in GenAI domain.

About the team
We pride ourselves on being a high-caliber team that consistently raises the bar in everything we do. Our team members are recognized as innovative problem-solvers who thrive in the fast-paced world of emerging technologies. When you join us, you'll be working alongside passionate professionals who are driving the adoption and development of GenAI GTM stratagies with some of the most innovative GenAI ISV partners in the industry. What sets us apart is our commitment to AWS's Day 1 culture. We're not bound by conventional processes or organizational complexities – instead, we roll up our sleeves, dive deep into challenges, and find creative solutions to drive results. This mindset has positioned us ahead of the curve in emerging technologies, particularly in the GenAI space. Our team's strength lies in our ability to collaborate effectively across multiple AWS organizations. Whether we're working with GTM teams, Specialists, Solutions Architects, or Marketing teams, we break down silos to achieve our common goals. This collaborative spirit, combined with our technical acumen and partner-first mindset, enables us to deliver exceptional results for our partners and customers.

About AWS
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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

Basic Qualifications

- 6+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing GenAI ISV partners, preferably good understanding of GenAI stack, Amazon Bedrock, AWS Marketplace.

Preferred Qualifications

- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Experience influencing internal and external stakeholders

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.

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, 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.
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