Director of Product Management - Innovation Labs (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Director of Product Management - Innovation Labs (AI): Lead a team of AI engineers to transform concepts into early-stage products from first principles through validated, handoff-ready innovations. Focus on designing agentic AI systems, owning the innovation pipeline, developing early-stage prototypes, driving AI research, and building the Labs team.
Location: Netanya, Israel
Company
AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions with the Large Market Model (LMM) for accurate demand forecasting and real-time decision-making, originally focused on airlines and expanding to other industries.
What you will do
- Design and prototype multi-agent architectures, reasoning pipelines, tool-use frameworks, and orchestration layers using LLM orchestration, RAG, memory systems, and agent-to-agent communication.
- Own the end-to-end Labs pipeline: idea intake, feasibility assessment, prioritization, prototyping, and handoff to Product and R&D.
- Architect and develop early-stage product explorations to validate or invalidate ideas quickly.
- Drive applied AI and pricing model research, exploring algorithms, data approaches, and model architectures.
- Build and lead the Labs team, defining roles, hiring top talent, and fostering a culture of fast experimentation and technical excellence.
Requirements
- 10+ years in software engineering, with at least 2 years in Gen-AI engineering leadership.
- Proven track record shipping production-grade Gen-AI applications.
- Hands-on expertise with LLM architectures, prompt engineering at scale, fine-tuning, and agentic frameworks (LangGraph, AutoGen, CrewAI or equivalent).
- Deep understanding of RAG pipelines, vector stores, tool-use patterns, and multi-agent coordination.
- Experience designing rapid experimentation loops: hypothesis to prototype to decision in days.
- Experience hiring and growing high-performing AI engineering teams.
- Ability to context-switch between coding and leading without dropping quality.
- Fluency with agentic coding tools (Claude Code, Cursor, GitHub Copilot Workspace) and AI-native development environments.
Nice to have
- Exposure to pricing, revenue management, or demand forecasting domains.
- Experience with reinforcement learning or decision-making under uncertainty.
Culture & Benefits
- Autonomy to define 's next product lines with direct line to executive leadership.
- Technically ambitious team that values depth over hype.
- Competitive compensation and meaningful equity.
- Opportunity to lead a function that shapes the company's future.
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