התפקיד במילים פשוטות
תפקיד זה כולל הובלה של מחלקת הפיתוח בחברה, ניהול של כ-20 מהנדסים בשלוש צוותים, ואחריות על החזון הטכנולוגי והארכיטקטורה של פלטפורמת ה-AI. התפקיד כולל גיבוש אסטרטגיית LLM אחידה, יצירת ארכיטקטורה בקנה מידה רחב, ועבודה צמודה מול המייסד השותף ולקוחות החברה.
- 10+ years in engineering
- 5+ years leading multiple teams simultaneously
- Architectural experience with production LLM-based products at enterprise scale
- Hands-on with modern LLM stack (prompt engineering, fine-tuning, RAG, evaluation frameworks, inference infrastructure)
- Strong cloud-native background (AWS / GCP / Azure) and distributed systems in production
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לבעלי מעל 10 שנות ניסיון בהנדסה ו-5 שנות ניסיון בהובלת מספר צוותים במקביל, בעלי ניסיון מעשי במוצרי LLM, מערכות ענן ופלטפורמות פינטק או רגולציה. הוא פחות מתאים למי שזקוק לתכנית עבודה מוגדרת מראש, או למי שהניסיון שלו ב-LLM הוא תיאורטי בלבד.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןOwn the architecture. Lead the teams. Ship the platform. Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. The mission? 3 engineering teams, ~20 engineers, 1 platform that has to work flawlessly inside the most regulated industry on earth. Right now, those teams are building hard — but without a single person accountable for the technical vision that ties it all together. That's the gap. We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product — they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business. This role reports to the co-founder and is based out of our Tel Aviv offices (hybrid model).
Requirements: You’re a fit if … You bring both the technical depth and the leadership range this role demands. Specifically: • 10+ years in engineering, 5+ years leading multiple teams simultaneously — you know the difference between managing people and building an org • You've made real architectural calls on LLM-based products — not just used APIs, but decided how they fit into a production system at enterprise scale • Hands-on with the modern LLM stack: prompt engineering, fine-tuning, RAG, evaluation frameworks, and inference infrastructure • Strong cloud-native background (AWS / GCP / Azure) — you've operated distributed systems in production, not just on paper • Data pipeline native — you think in flows, volumes, and efficiency; experience with high-throughput event-driven architectures • You've worked in fintech, regtech, or another regulated environment and understand that 'good enough' isn't a compliance strategy • You're as comfortable in a co-founder conversation about product direction as you are in a code review • You've built in ambiguity before and didn't wait for someone to hand you a plan You’re probably not a fit if… • You need a fully scoped roadmap before you can start moving — we're building the roadmap together • You've only led one team at a time and haven't navigated the coordination overhead of multiple teams with different contexts • Your LLM experience is theoretical or limited to side projects — this role requires production-grade decisions under enterprise SLAs • You measure your success by headcount, meetings, or process — we measure it by what shipped • Regulated industries feel like a constraint to you rather than a design input • You don’t feel comfortable having conversations that raise the bar with your team members • You don’t feel comfortable to be customer facing and deeply interfacing with the business
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- 10+ years in engineering, 5+ years leading multiple teams simultaneously, Architectural experience with production LLM-based products at enterprise scale, Hands-on with modern LLM stack (prompt engineering, fine-tuning, RAG, evaluation frameworks, inference infrastructure), Strong cloud-native background (AWS / GCP / Azure) and distributed systems in production