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Senior Product Manager, AI Business Travel Booking
במקום העבודהמשרה מלאהניהול מוצרEnterprise Software
Own the vision, strategy, roadmap, and execution of an AI-powered business travel booking product across hotels, rental cars, and rail. Lead cross-functional teams in creating accurate, transparent, policy-aware, and reliable conversational and interface-based booking experiences.
תחומי אחריות
- Own product vision, strategy, roadmap, and execution across hotels, rental cars, and rail.
- Lead the full journey from travel intent and search through recommendations, comparison, checkout, booking, support, and recovery.
- Define a coherent cross-line-of-business experience for planning and booking multiple trip components.
- Lead experimentation across conversational flows, recommendations, search, and booking surfaces.
- Partner with AI, data, engineering, design, operations, and support teams on intent understanding, ranking, personalization, tool orchestration, and user experiences.
- Establish feedback loops through production conversation reviews, bug bashes, evaluation analysis, root-cause investigation, and release validation.
- Define AI evaluation criteria covering task completion, factual accuracy, policy compliance, tool and interface usage, response quality, latency, and failure recovery.
- Track outcomes including booking completion, conversion, time to book, user effort, customer satisfaction, trust, and repeat usage.
- Align stakeholders and communicate product decisions, trade-offs, risks, status, and learnings.
- Represent customer needs and ensure transparency around limitations, unsupported requests, pricing, availability, and booking status.
דרישות
- At least 4 years of product management experience shipping customer-facing products.
- Experience owning a complex product or product area through strategy, discovery, prioritization, execution, launch, and measurement.
- Strong product judgment and ability to balance customer value, business impact, technical complexity, reliability, and speed.
- Experience improving measurable outcomes such as conversion, task completion, engagement, retention, or customer satisfaction.
- Strong written and verbal communication skills for aligning leadership, cross-functional stakeholders, and customers.
- Data-informed decision-making combined with qualitative judgment and customer empathy.
- Ability to reason about probabilistic AI systems, failure modes, evaluations, guardrails, and user trust.
- Ownership-oriented approach to clarifying problems, coordinating stakeholders, and driving resolution.
יתרון
- Experience building AI assistants, conversational products, recommendation systems, search experiences, or agentic workflows.
- Experience with LLM evaluations, quality rubrics, production monitoring, or experimentation frameworks.