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Staff Technical Program Manager, Managed Inference

Crusoe·Tel Aviv, ישראל·en
לא צויןמשרה מלאהניהול תוכניותData InfrastructureCloud Computing

Lead end-to-end programs for a managed AI inference platform, coordinating model engineering, infrastructure, product, data center operations, and external model providers. Build execution frameworks and guide multi-quarter roadmaps, model onboarding, inference optimization, and production readiness

תחומי אחריות

  • Own multi-quarter release planning, dependency management, and executive communication for the managed inference platform.
  • Lead model rollouts, inference optimization, GPU hardware SLA readiness, and multi-tenant capacity planning from kickoff through delivery.
  • Coordinate programs across model engineering, infrastructure, cloud foundations, data center operations, and external model providers.
  • Identify risks related to model serving, reliability, capacity, and vendor schedules before they affect delivery.
  • Develop scalable program frameworks, execution dashboards, and data-driven leadership updates.
  • Plan model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm validation, and workload commissioning criteria.
  • Align engineering, product, and operations leaders, including highly technical stakeholders.

דרישות

  • At least 7 years of technical program management experience in fast-paced technical environments.
  • Track record of owning complex programs across engineering and product organizations.
  • Working knowledge of LLM inference and model serving, including batching, quantization, and latency, throughput, and cost tradeoffs.
  • Familiarity with multi-tenant isolation, quota management, and SLA enforcement.
  • Understanding of fine-tuning and alignment workflows sufficient to coordinate timelines and identify risks.
  • Ability to establish execution processes where none exist and gain team adoption.
  • Strong written and verbal communication for clear, data-driven executive updates.
  • Daily use of AI tools to improve program execution, risk detection, and communication.
  • Ability to align engineering, product, and infrastructure leaders without direct authority.

יתרון

  • Experience with AI inference or training platforms.
  • Experience leading model onboarding across GPU generations, including firmware, drivers, and stack validation.
  • Experience mentoring junior technical program managers.
  • Experience working with distributed teams.
  • Background at a late-stage company or an AI infrastructure team at a hyperscaler.

הטבות

  • Benefits aligned with local market standards, including pension contributions and additional work-life balance perks.

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