דרושים » דאטה » Manager 3, AI Science

Manage a global group of AI scientists teams dedicated to developing and deploying AI solutions that help ensure Trust and Safety across Intuit products and services. Drive research, development, and implementation of advanced AI along with ML technologies, while fostering a collaborative and innovative environment.

Responsibilities
Lead global AI Science teams, specializing in Fraud and Content Moderation.
Recruit and mentor top AI Scientists in Israel and US.
Apply AI/ML to address Fraud and content issues, driving innovation and growth.
Deliver impact through data-driven insights and advanced analytics.
Provide technical and strategic leadership in AI science.
Inspire AI innovations to enhance platform safety and fraud detection.
Guide business stakeholders to interpret and utilize AI-first solutions and research findings.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
We are seeking an experienced and visionary Senior-level Staff Product Manager to lead critical initiatives within our AI & Data Platform for Fraud & Risk.

In this role, you will be instrumental in defining the future of our data capabilities, enabling advanced fraud detection, and building scalable, unified data 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 and risk data
Technical Product Leadership: Drive the development of complex data 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 and risk mitigation
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

The Content Safety Team, which is responsible for ensuring a safe environment for Intuit customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all Intuit products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.

We encourage you to apply if you

Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities
Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.