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Ready to shape the future of cloud computing - one hire at a time? Join םור Talent Acquisition team as a Full Lifecycle Recruiter and become the bridge between world-class talent and career-defining opportunities. You'll own the complete recruitment journey - from discovering and engaging candidates to closing offers - while driving hiring effectiveness across multiple teams and creating meaningful experiences that reflect our commitment to inclusion and excellence.

Key job responsibilities
Build high-quality, diverse talent pipelines that fuel AWS's growth by sourcing and engaging candidates using internal and external tools, multiple sourcing and closing methodologies, and diverse channels - including events, conferences, online communities, employee referrals, and career portals - across multiple teams and roles.
Apply data and domain expertise to accurately identify, engage, and assess candidates at various levels for complex, multi-team requisitions where sourcing and closing strategies are partially defined, delivering single and/or cross-region impact.
Drive positive candidate experiences by developing effective relationships with client teams and candidates to build prospective networks, influencing client teams to follow recruiting best practices such as writing effective job descriptions, messaging, and clear value propositions.
Elevate hiring effectiveness across supported teams by educating and coaching hiring managers on sourcing methodologies and closing strategies, and supporting interviewers on recruiting and interviewing best practices to improve metrics.
Own recruiting projects in partnership with client teams that improve hiring effectiveness and related metrics, including pipeline activity, conversion rates, candidate experience, and candidate cycle time.

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 us 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 our AI infrastructure leadership
- Aggregate voice-of-customer feedback on capacity, performance, pricing, and feature requirements-working with our 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