VP Strategy

1 week ago


Tel Aviv, Tel Aviv, Israel NeuReality Full time ₪90,000 - ₪120,000 per year
VP Strategy

Key Responsibilities:
  • Define and drive strategic technology and product directions, including identifying and nurturing strategic partnerships
  • Lead deep research into emerging technologies, market conditions, and competitive landscapes across Datacenter and Edge markets to shape positioning and value propositions
  • Partner closely with the CTO and senior leadership to refine and evolve the company's long-term technical and product roadmap
  • Act as a key thought partner to the CTO on differentiation and innovation strategies
  • Incubate new ideas by designing and validating hypotheses through analysis, experiments, or proof-of-concepts
  • Develop success metrics and KPIs to guide and evaluate strategic initiatives

Required Qualifications & Experience:
  • Proven experience in high-impact strategic roles within technology-driven companies (e.g., Strategy, CTO roles, CTO office)
  • Strong understanding of emerging technology trends, especially in compute, hardware, and software innovation
  • Hands-on experience with silicon products and compute solutions and AI system.
  • Solid background in software systems and architecture in production environments.
  • Bachelor's degree in Computer Science, Electrical/Computer Engineering;
  • Exceptional analytical and strategic thinking skills with the ability to synthesize complexity into clear, pragmatic plans
  • Creative and independent thinker with a bias for action and experimentation.
  • Strong communication and storytelling skills with the ability to present complex ideas to executive audiences
  • Highly collaborative and influential leader with strong external and customer-facing orientation

Preferred Experience:
  • Advanced degrees (MSc/PhD or MBA) strongly preferred
  • Deep familiarity with AI deployment in Datacenter and/or Edge environments
  • Experience in strategy definition for silicon, compute, or networking products
  • Background in the Deep Learning market is a strong advantage

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