Dream
Dream
Dream is a defense and artificial intelligence company building an AI platform for cyber resilience. Its technology is designed to help governments strengthen national security by turning large-scale cyber data into clearer visibility, predictive defense, and real-time threat mitigation against attacks linked to hostile nation-states. Dream focuses on addressing the data challenges that make modern cyber defense difficult.

Senior Program Manager, Sovereign AI (Hybrid, Israel)

Lead Dream’s Sovereign AI roadmap for government and critical infrastructure customers, coordinating research, engineering, product, launches, and AI-enabled operations.

Description

  • Lead the Sovereign AI roadmap from initial planning through delivery.
  • Monitor milestones, dependencies, and risks across several active workstreams.
  • Create programs from the ground up and develop them into reliable, repeatable operations.
  • Coordinate work across Data Science, Engineering, Product, and Design.
  • Keep project status, blockers, and timelines clearly documented and up to date.
  • Spot risks, bottlenecks, and critical dependencies, then drive their resolution.
  • Align roadmap priorities with strategic goals alongside senior leaders and domain leads.
  • Bring requests from Product, Engineering, GTM, and Finance together in one roadmap.
  • Set and manage expectations with company leaders and government stakeholders.
  • Oversee operational work for ATLAS product suite launches, including billing, pricing, and developer platform operations.
  • Strengthen processes, team rituals, and tools.
  • Work with Engineering and Research to automate manual operations using AI.

Requirements

  • At least seven years in program management or technical project management, preferably at a fast-growing technology company.
  • Demonstrated success launching programs from scratch and scaling them into lasting operations.
  • Experience with commercial launches, billing and pricing operations, or developer platform operations.
  • Able to take initiative in ambiguous situations and make sound decisions with incomplete information.
  • Strong judgment in prioritizing requests from Product, Engineering, GTM, and Finance.
  • Experience working with engineering and research teams to automate manual work using AI.
  • Able to build trust with engineers, data scientists, product managers, designers, and executives; influence without formal authority and hold teams accountable.
  • Technical knowledge to understand machine learning models, data pipelines, APIs, and system architecture.
  • Communicates clearly, concisely, and in a structured way.
  • Preferred: experience in defense or AI and machine learning.
  • Preferred: familiarity with procurement cycles, compliance requirements, and sovereign entities.
  • Preferred: education or experience in engineering or another technical discipline.

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