As a Technical Account Manager (TAM) in AWS Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.
Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs
- Champion and advocate for your customers by connecting their feedback to AWS engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.
Requirements: Basic Qualifications
- 10+ years of experience in technical roles involving distributed systems, cloud architecture, software development, infrastructure/platform engineering, Data & Analytics, or AI / ML.
- Experience in a customer-facing technical role such as technical account manager, solutions architect, consultant, or support engineer.
- Experience with operational parameters and troubleshooting for a combination of the following: compute, storage, networking, databases, AI/ML, containers, DevOps, big data and analytics, security.
- Demonstrated ability to drive technical discussions and communicate effectively with both engineering teams and executive stakeholders.
- Experience working in fast-paced environments where priorities shift and ambiguity is the norm.
- Fluent in English and Hebrew.
Preferred Qualifications
- Knowledge of distributed systems design and implementation or equivalent.
- Knowledge of large scale automation and workflow management or equivalent.
- Professional experience with AWS services or equivalent cloud platforms (Azure, GCP).
- Experience with AI/ML workloads including foundation models, inference infrastructure, agentic systems, accelerated compute (GPU, custom silicon), or MLOps.
- Background working with startups or high-growth technology companies where you've seen systems scale from early product through to production maturity.
- Experience with container orchestration (EKS, ECS, Kubernetes), serverless architectures, and infrastructure as code (Terraform, CloudFormation, CDK).
This position is open to all candidates.