# Machine Learning Manager - Agentic Modeling at Booking.com

Booking.com is hiring a Machine Learning Manager - Agentic Modeling in Tel Aviv, Israel. Level rates it Builds AI ●●●●; you can [apply on Booking.com](https://jobsbylevel.com/go/ce043236-581f-4e53-bc36-4e31e4ec42e9?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. Tel Aviv, Israel.

## Details

- Company: [Booking.com](https://jobsbylevel.com/companies/booking-com)
- AI level: AI Level 4 (score 95 out of 100)
- Location: Tel Aviv, Israel
- Posted: September 23, 2026
- Apply: https://jobsbylevel.com/go/ce043236-581f-4e53-bc36-4e31e4ec42e9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=machine-learning-manager-agentic-modeling-at-booking-com-e48c76

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/machine-learning-manager-agentic-modeling-at-booking-com-e48c76

## Description

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. Leadership/Team Quote: The Agentic Modeling team enables Booking.com's mission teams to build production-grade AI agents.. We provide a modular, configuration-driven platform where teams compose reusable building blocks (tools, memory, context, strategies, prompts) into custom agents tailored to their domains, then own the full lifecycle of developing, testing, optimizing, and iterating on those agents in production. Our platform powers agent-driven experiences across Connected Trip, Search, Trip Support, Content, and more — serving as the backbone for AI agent development at Booking.com. Role Description: In this role, you will lead a team of Machine Learning Scientists, ML and Data Engineers dedicated to building, evolving, and scaling Booking.com's agentic AI platform. This includes developing reusable agent types (classification, entity extraction, guardrails, summarization, general-purpose), agent strategies for planning and reasoning, memory capabilities , context management , and multi-agent patterns . As a technical manager, you should be passionate about agentic AI systems , keep up to date with recent breakthroughs in LLM agents, tool use, and reasoning, define and shape the team's ML roadmap, and not be afraid to get your hands dirty with code when needed. You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with product managers and mission stakeholders to define and shape the roadmap. You will work independently and be responsible for making technical decisions within your team. When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with Product Managers. Key Job Responsibilities and Duties: Leadership in Agentic AI Development — Build, guide, and mentor a team of ML scientists and engineers in developing agent types, strategies, SDK capabilities, and production tooling for AI agents at scale. Platform & SDK Strategy — Define and communicate the technical vision for the agentic modeling platform, ensuring it scales across missions (Trip Planning, Search, AITP, Trip Support, Content) and enables teams to go from idea to production agent in days, not months. Agent Strategy & Reasoning — Drive development of advanced agent planning capabilities: iterative reasoning, self-correction, multi-step logic with conditional paths, and multi-agent collaboration patterns. Context & Memory Systems — Lead the design and implementation of smart context management and agent memory (short-term session state, long-term episodic and semantic memory) as configurable building blocks. Evaluation & Optimization — Own the integration with evaluation frameworks and production data tooling to enable systematic agent improvement across accuracy, latency, cost, and reliability. Developer Experience — Drive improvements to developer tooling (Claude Code integration, AI Studio), ensuring low barriers to entry and fast iteration cycles for mission teams. Foster a culture of collaboration, innovation, and excellence within the team. Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times. Translate machine learning vision and strategy into planning and execution, and ensure timely delivery. Monitor product health, performance and business impact and act accordingly

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/machine-learning-manager-agentic-modeling-at-booking-com-e48c76

Source: https://jobsbylevel.com/jobs/machine-learning-manager-agentic-modeling-at-booking-com-e48c76

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Level. https://jobsbylevel.com/jobs/machine-learning-manager-agentic-modeling-at-booking-com-e48c76.

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