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VP of Engineering

SOURCIX·ישראל·en
לא צויןמשרה מלאהEngineering ManagementEnterprise SoftwareManufacturing

Lead the research and development organization for an AI-driven industrial procurement platform. Own engineering strategy, architecture, execution, and team growth while building scalable systems that combine machine learning, LLM workflows, data pipelines, and supplier intelligence.

תחומי אחריות

  • Define and lead the R&D vision and technical strategy
  • Build and manage a hands-on engineering team spanning full-stack, AI, and data
  • Own the development lifecycle from concept through production
  • Design architectures for AI-native systems and scalable SaaS platforms
  • Lead development of LLM workflows, internal models, data pipelines, and feedback loops
  • Ensure system scalability, reliability, and performance
  • Set decisions on technology stack, infrastructure, and system design
  • Introduce AI-assisted development workflows using LLMs, copilots, and agents
  • Drive rapid experimentation and continuous product iteration
  • Partner with product and business teams to ship high-impact features
  • Translate complex manufacturing and procurement challenges into usable products
  • Use real-world data and feedback to improve system performance
  • Lead hiring, mentoring, and organizational scaling

דרישות

  • 10+ years of software development experience
  • 6+ years of engineering leadership experience
  • Strong hands-on experience building and scaling complex systems
  • Experience leading full-stack teams across frontend, backend, and infrastructure
  • Deep understanding of system architecture, APIs, and data flows
  • Experience with AI/ML systems, LLMs, or data-driven platforms
  • Ability to make decisions and execute effectively in ambiguous, fast-moving environments
  • Builder-oriented leadership style with strong ownership

יתרון

  • Experience building AI-native products or developer tools
  • Background in marketplaces, SaaS platforms, or complex workflows
  • Experience with self-learning systems, feedback loops, or model training
  • Familiarity with cloud infrastructure such as AWS or GCP
  • Experience in manufacturing, procurement, or industrial domains

הטבות

  • Work on AI systems addressing complex industrial challenges
  • Join a funded, revenue-generating company with demonstrated traction
  • Build an early-stage engineering organization and platform

רלוונטיות

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