You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments. You have a degree in Computer Science or a related field You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others. You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts. You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks. You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs. You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when "fast" is the wrong call. You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling. You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. Ability to travel to customer sites as needed to ensure client success High level of proficiency in Hebrew and English
