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Staff Product Manager, Fraud Prevention Petach Tikva, Israel

Intuit

Staff Product Manager, Fraud Prevention Petach Tikva, Israel

Intuit

petah tikva

·

On-site

·

Full-time

·

2w ago

We are seeking an experienced and visionary Senior-level Staff Product Manager to lead critical initiatives within our Trust & Safety platform for Fraud Prevention.

In this role, you will be instrumental in defining the future of our data capabilities, enabling advanced fraud detection, and building scalable, unified solutions.

You will work at the intersection of complex technical challenges and critical business needs, driving significant impact across Intuit's ecosystem.


Responsibilities

  • Product Vision and Strategy: Define and evangelize a compelling product vision, strategy, and roadmap for a high-complexity product area within fraud prevention
  • Technical Product Leadership: Drive the development of complex fraud infrastructure and platform capabilities, translating sophisticated technical requirements into clear product specifications. Lead the creation of generic, self-serve platforms to enable future scalability and adoption
  • Cross-Functional Collaboration and Alignment: Partner deeply with data engineering, data science, and business stakeholders across multiple locations and organizational units to align on shared goals, technical approaches, and delivery timelines
  • Impactful Execution: Oversee the end-to-end product lifecycle for multiple features and initiatives, ensuring high-quality delivery that significantly improves fraud prevention
  • Problem Identification and Solutioning: Expertly identify the most critical problems for stakeholders, conceptualize and 'productize' solutions that avoid siloing and deliver long-term value
  • Stakeholder Communication: Provide clear, concise, and impactful updates to various audiences, including leadership, on project progress, strategic direction, and achieved outcomes

Qualifications

  • 5+ years of Product Management experience, with significant experience as a Senior Product Manager or equivalent, preferably within the Fraud Prevention domain
  • Proven track record of owning multiple features and a high-complexity product area
  • Deep understanding of the fraud prevention business domain and associated technical challenges
  • Strong technical acumen with experience working closely with data engineering and  AI/ML teams, particularly in building scalable infrastructure
  • Exceptional ability to drive cross-team alignments and build productive relationships across diverse organizational units
  • Demonstrated ability to translate strategic insight into tangible product outcomes
  • Excellent communication, presentation, and interpersonal skills

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. #LI-Hybrid



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About Intuit

Intuit

Intuit provides financial software solutions to empower individuals and businesses.

10,001+

Employees

Mountain View

Headquarters

$140B

Valuation

Reviews

3.6

9 reviews

Work Life Balance

3.8

Compensation

3.2

Culture

3.1

Career

3.7

Management

3.0

65%

Recommend to a Friend

Pros

Flexible schedule and work independence

Good benefits and 401k match

Supportive teammates and collaboration

Cons

Management issues and favoritism

High pressure and quotas

Poor communication and politics

Salary Ranges

91 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Business Analyst

10 reports

$145,015

total / year

Base

$111,550

Stock

-

Bonus

-

$138,710

$163,150

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 86%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Live Coding Interview

4

Case Study/Technical Assessment

5

Behavioral Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Case Study

System Design