Join AWS' newly formed AI Infrastructure team to lead the go-to-market strategy for one of the fastest-growing segments in cloud computing for Israel.
You will work with the most innovative AI companies in the region—from foundation model builders to enterprises deploying state-of-the art inference and training workloads—helping them run and train Open Weight, Finetuned, Bespoke, and Domain Specific Large Language Models best on AWS.
AWS is establishing dedicated AI Infrastructure teams across EMEA to capture the rapidly expanding market for AI training, inference, and accelerated compute. As the Business Development Manager for AI Infrastructure in Israel, you will own the regional GTM strategy, drive revenue growth, and build deep customer relationships with organizations pushing the boundaries of AI—model producers, domain-specific AI builders, startups, ISVs, and enterprises scaling AI-native applications.
This is a greenfield opportunity to shape a new function within a high-growth domain. You will be part of an EMEA-wide team of AI Infrastructure specialists, working at the intersection of GPU-accelerated computing, large-scale model training, inference optimization, and cloud infrastructure.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers’ most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
The WWSO AI Infrastructure team is the go-to partner that delivers the architecture, deployment, and optimization guidance required for self-managed workloads. The ideal candidate must be self-motivated with a proven track record of customer obsession and delivering results. The ability to connect technology with measurable business value is critical. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in AI.
Key job responsibilities
- Own and execute the AI Infrastructure go-to-market strategy for Israel, driving pipeline creation, deal progression, and revenue attainment across EC2 accelerated compute, Amazon EKS for AI workloads, and Amazon SageMaker HyperPod and Inference
- Identify, engage, and win high-value AI infrastructure customers—including model producers, AI-native startups, and enterprises building domain-specific AI solutions across industries such as financial services, healthcare, manufacturing, and telecommunications
- Develop and execute account-level strategies for priority customers running or evaluating large-scale AI training and inference workloads, positioning AWS as the platform of choice
- Execute strategic partner co-sell motions with key ecosystem players including NVIDIA, open-weight model providers (e.g. Meta, Mistral), and inference framework communities (vLLM, Ray, Anyscale)
- Collaborate with consulting and systems integration partners to enable AI infrastructure best practices and drive joint customer engagements
- Lead scaled GTM motions including developer community engagement, customer roundtables, workload assessments, and regional campaigns that position AWS AI infrastructure leadership
- Aggregate voice-of-customer feedback on capacity, performance, pricing, and feature requirements—working with AWS service teams to influence product roadmaps and regional infrastructure investments
- Contribute to EMEA-wide AI Infrastructure initiatives beyond your primary region, collaborating with peers across France, Germany, UKI, and the Nordics on strategic programs and high-value opportunities
A day in the life No two days are the same. You might start your morning reviewing GPU capacity requirements with a model producer scaling inference workloads across the globe, then join a technical deep-dive with your Specialist SA colleague to design an optimized deployment architecture on EC2 or EKS. After lunch, you're co-developing a joint GTM motion with partners like NVIDIA or Meta, before jumping into a pipeline review with your Area AI/ML sales leader. You'll collaborate daily with account teams, solution architects, partner managers, and AWS service teams — connecting the dots between customer needs, technical capabilities, and market opportunity to win AI infrastructure workloads
About the team The AI Infrastructure team is a newly formed sub-domain under EMEA's AI/ML organization, created to bring singular focus to one of AWS' highest-growth market segments. The team consolidates expertise from across accelerated computing, containers, and machine learning infrastructure into a unified organization with clear ownership and accountability.
We serve customers across the full AI infrastructure stack—from GPU cluster provisioning and distributed training to inference optimization and model deployment at scale. Our customers include some of the most technically sophisticated organizations in the world, and our work directly impacts how AI is built and deployed across EMEA.
You will join a team of passionate builders who combine deep technical curiosity with commercial acumen. We operate with a startup mentality inside one of the world's largest technology companies—moving fast, experimenting boldly, and holding ourselves to the highest standards.
Diverse Experiences Amazon 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.
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Basic Qualifications
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience presenting to both technical and non-technical executive audiences
- Bachelor's degree
- Demonstrated ability to develop and execute go-to-market strategies that drive measurable pipeline and revenue growth
- Strong understanding of the AI/ML landscape including foundation models, model training and inference, GPU-accelerated computing, and open-source AI frameworks
- Experience working in or selling into the Israeli and European markets
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
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