About the job
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Responsibilities
- Partner with ISV account teams to formulate and execute technical strategies that drive AWS adoption and platform modernization.
- Drive adoption of Amazon Bedrock as the unified endpoint for frontier foundation models (Anthropic Claude, OpenAI, Meta Llama, Amazon Nova) — helping ISVs consolidate fragmented AI vendor relationships into a secure, cost-optimized access layer.
- Advise ISVs on migrating from direct model provider agreements to Bedrock, articulating the value of unified governance, cross-model flexibility, guardrails, and EDP drawdown.
- Enable ISVs to embed GenAI capabilities into their products using Bedrock Agents, Knowledge Bases, and model customization.
- Design and validate architectures for ISV SaaS workloads — including multi-tenancy, tenant isolation, and modern application patterns (containers, serverless, microservices, event-driven).
- Build executive-level technical relationships with ISV CTOs and VPs of Engineering.
- Drive product feedback loops (PFRs) by translating ISV pain points into feature requests for AWS service teams
Qualifications
Minimum
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
Preferred
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective