עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
We are seeking an experienced Senior Product Manager to lead the implementation and development of an AI-powered Partner Management system, working closely with engineering, data, and business teams across the organization.
Responsibilities
• AI Product Implementation: Lead the implementation and rollout of a new AI-enabled Partner Management System, ensuring alignment with business objectives and operational needs.
• Manage product outcomes through a system-level approach including model behavior, data quality, user workflows, evaluation loops, and trust/safety controls.
• Partner Platform Management: Define and manage processes supporting both online affiliates (financial websites, academies, referral platforms) and offline partners such as call centers and trading academies.
• Product Requirements Definition: Collect and analyze business and technical requirements and translate them into clear product specifications, including structuring ambiguous AI capabilities into defined workflows and features.
• CRM & System Integration: Work closely with engineering and data teams to ensure seamless integration between the Partner Management platform, CRM systems, and internal data infrastructure.
• Project Management & Planning: Develop work plans, manage timelines, and coordinate cross-functional teams including engineering, data, marketing, and partner operations.
• Data Analysis & KPI Setting: Analyze product and partner performance using BI tools, define KPIs, and implement data-driven improvements to optimize partner acquisition and conversion.
• Experimentation & Optimization: Define evaluation frameworks, run experiments, and continuously improve AI-driven product performance and decision quality.
• Work hands-on with AI tools (e.g., Claude Co-Work Product Management plugin or similar) to enhance product workflows and decision-making.
• Stakeholder Collaboration: Work closely with internal teams and external partners to support onboarding, integrations, and ongoing platform adoption.
Requirements
• Experience: 4–7+ years of Product Management experience, with mandatory experience in fintech or trading companies.
• AI & Data Platforms: Experience working with AI-based systems and collaborating with data and engineering teams.
• Strong understanding of managing model behavior, data quality, user workflows, evaluation frameworks, and trust/safety controls in production environments.
• Experience managing platform products, partner ecosystems, APIs, or complex system integrations.
• Technical & Analytical Skills: Strong analytical skills and experience working with BI/analytics tools to support product decisions.
• Experimentation Mindset: Ability to define hypotheses, measure outcomes, and iterate based on data and model performance.
• AI Model Governance: Experience defining guardrails, monitoring model performance, and ensuring reliability and trust in AI-driven systems.
•Hands-on experience with tools such as Claude Co-Work Product Management plugin or similar — advantage.
• Execution & Ownership: Ability to translate business goals into measurable product behavior and scalable workflows.
• Leadership & Cross-Functional Work: Proven ability to lead initiatives and work across multiple teams in a matrix environment.
• Language Skills: Full proficiency in English, both written and spoken, with excellent communication.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
שאלות ותשובות עבור משרת Senior Product Manager
מנהל מוצר בכיר ב-AvaTrade יוביל את ההטמעה והפיתוח של מערכת ניהול שותפים מבוססת AI, תוך עבודה צמודה עם צוותי הנדסה, דאטה ועסקים. התפקיד כולל ניהול תוצרי המוצר באמצעות גישה מערכתית, הגדרת תהליכים לתמיכה בשותפים מקוונים ולא מקוונים, תרגום דרישות עסקיות וטכניות למפרטי מוצר ברורים, והבטחת אינטגרציה חלקה עם מערכות CRM ותשתית נתונים פנימית.
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