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Required Manager 3, AI Science
Job Overview
Manage a global group of AI scientists teams dedicated to developing and deploying AI solutions that help ensure Trust and Safety across our 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.

We are looking for an innovative Manager experienced in Fraud Risk Policy & Strategy to lead a team of policy analysts within the Trust & Safety organization. This individual will cultivate a deep understanding of our Quickbooks and Mailchimp products and bring industry best practices around fraud prevention and generative AI to address large scale problems related to product abuse. As we continue to grow our capabilities with the advancements in AI-assisted solutions, this individual will also play a critical role in developing and executing short and long-term strategic and tactical plans across all products to improve our security posture against fraud and abuse in the evolving online threat landscape.
Responsibilities:
Lead a high-performing team of fraud and risk data analysts by providing real-time coaching and best practice guidance to team members relating to their daily work as well as growing their careers
Lead strategic initiatives with measurable milestones and impact to KPIs
Act as a strategic partner across our product development, product management, legal, investigations, data science, and other teams for fraud/abuse prevention solutions throughout the fraud lifecycle of detection, investigation, remediation, and prevention
Combine historical data with strong subject matter expertise and intuition to create and execute strategies to achieve short and long-term objectives at scale
Provide guidance and oversight in raising awareness of broader fraud and product issues, generative AI ongoing trends and driving toward automated solutions.
Stays abreast of fraud trends, emerging fraud and generative AI threats, and new system/tools to help bolster fraud prevention/detection capabilities
Own and assess your teams progress toward established performance goals.

Required Staff Backend Engineer
Come join the team as a StaffBackend Engineer. We are a customer-obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities:
You will seek to improve performance by refactoring existing services and flows
You will mentor more junior team members and help them learn and progress professionally.
You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
You will be hands-on, 70 - 80% coding
You will serve as the immediate go-to person within the team for any tech-related issue or discussion
Youll be a good listener, while also having strong opinions on what is right
Youll be fun to be around and work with :)

Required Senior Backend Engineer
Job Overview
A global technology platformthat constantly disrupts itself by identifying major new technology and design trends that are needed to deliver our mission to power prosperity around the world.
Come join the team as a Senior Back End Engineer. We are a customer obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities:
Participate in the agile feature/product design process working with cross-functional teams
Design, implement and enhance services at large scale as part of the sales product, enabling various customers use cases. E2E responsibilities including technical documentation and automation tests.
Production support involved with monitoring production systems and remediating issues
Strong leadership and communication skills (Hebrew and English), and ability to work well in a team. Collaborate with other engineers to share best practices and knowledge of emerging technologies
Engage with customers to get a first-hand understanding of their needs
Perform and participate in peer code reviews.

Required Senior AI Scientist
Job Overview
The Content Safety Team, which is responsible for ensuring a safe environment for our customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all our 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.