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.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
35,000-50,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

Were seeking a highly motivated Senior Product Manager for a key role within our Risk & Compliance team. This position is focused on developing critical infrastructure and services that safeguard our users and deter fraudulent activity, driving both customer confidence and our growth. Youll be a great fit if you like to move fast, challenge existing assumptions and have a strong background in data, product management and current software technologies.

A day in the life and how youll make an impact:
Analyze fraud trends and data to identify vulnerabilities, develop mitigation strategies, and enhance fraud decision systems.
Collaborate with engineering, data science, and operations teams to design, build, and deploy effective risk and fraud prevention features.
Work with the analytics team to develop and monitor key performance indicators (KPIs) for risk and fraud prevention efforts, ensuring alignment with performance targets.
Communicate effectively with stakeholders and partners, including regulators, payment processors, and internal teams, regarding product strategy and progress.

Requirements:
Qualifications:
Over 3 years of Product Management experience. Ideally in risk, fraud, identity, management or similar fields.
Strong analytical skills, fluent with data tools (E.g. Snowflake, Datadog, Amplitude).
Track record of effective cross-functional work and stakeholder management.
Proven ability to ship complex products in regulated environments.
Strong written and verbal communication skills and ability to manage partner relationships. (Hebrew & English).
Empathy for both customers and frontline operators.
Comfortable working at both the strategy and execution level.

Bonus points:
Deep understanding of fraud vectors (e.g., ATO, synthetic identity, friendly fraud, phishing).
Hands on experience working with data as an analyst, data scientist or engineer Familiarity with risk scoring models, fraud rules management, or KYC/AML systems.

This position is open to all candidates.