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looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.




What you'll do
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies

As a Product Manager , youll own the entire product lifecycle, from innovation and design to execution. Youll serve as the strategic bridge between R&D and our cross-functional partners in Sales, Marketing, and Customer Success, ensuring our product vision translates into market-leading impact and solidifies our position as the industry leader.



What you'll do
Own the Product Lifecycle: Own your domain from initial ideation, through product development, to launch, and customer adoption. Youll act as the "CEO of your domain" ensuring every feature is built and delivered with highest quality and value to customers.
Translate Strategy into Roadmap and Backlog: Turn high-level business goals into concrete, actionable roadmaps and prioritized backlogs. Youll account for market requirements and competitive positioning, manage trade-offs and define the backlog that reflects business goals.
Partner Closely with R&D: Work closely with research and engineering teams to deliver features effectively and efficiently.
Direct Customer Validation: Proactively engage with customers and relevant stakeholders to validate planned scope and drive UX improvements throughout the product life cycle.
Drive Market Alignment & Success: Define and analyze metrics to measure product success, and work alongside Pre and Post-sales teams to ensure customer satisfaction.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

Were looking for a highly organized and people-oriented Personal Assistant to provide personalized support to our Executive team.

This role focuses on task tracking, coordination, and personal assistance.

Please note this in an On-site role from our TLV office

What you will do
Assist our CEO with personal and day-to-day support needs
Track tasks and follow up on action items to ensure execution
Support executive team members with administrative and logistical tasks
Help coordinate personal errands and scheduling as needed
Maintain ongoing communication while ensuring discretion and confidentiality
Manage executive offsites in Israel and abroad

We are looking for a talented, ambitious Product Manager to join our team driving core product and capabilities.

As a product manager you will innovate, design, execute, lead your product and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

Our OT/IoT Security Product Manager will lead cross-product features influencing and improving the core capabilities.


What you will do
Own your domain from ideation through product development to launch and adoption by customers.
Prioritize, manage trade-offs, and define product backlog that reflects business goals.
Work closely with research and engineering teams to deliver features effectively and efficiently.
Create detailed specifications and ensure execution of plan
Proactively engage customers and relevant stakeholders to validate planned scope and definitions throughout the product life cycle.
Drive UX improvements by understanding use cases and customer requirements.

s a Software Engineer will be critical to the companys success. You will design, build, and maintain the core infrastructure that powers the platform, enabling scalable business logic, data processing, and risk-related decision mechanisms. You will work closely with highly talented engineers to solve complex architectural challenges and deliver robust, high-scale systems.


What you'll do
Develop and maintain core company infrastructure, including search, policies, and foundational platform services
Build and operate backend systems that implement core business logic and large-scale data processing workflows
Take ownership of architectural and design challenges with a strong focus on scalability, performance, and reliability
Contribute to the design and evolution of the platform
Develop extensible libraries and utilities that accelerate development while ensuring scalability and high quality
Collaborate closely with product and other R&D teams
Help solve complex customer issues related to our platform and solutions

As a Full Stack Engineer, you will collaborate with engineering, marketing, sales and product to rapidly deliver new Products and MVPs. While maintaining the highest technical standards.
What Youll Do
Working with the strategic initiatives team
Implement end-to-end Products or MVPs. This means architecture design, implementation, testing, measuring success.
Performance optimization, accessibility, and usability
Collaborate with various stakeholders (engineering, marketing, sales, product)

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

Our team is looking for a high performance Solutions Architect with an entrepreneurial driven approach. As a Solutions Architect, you will lead the advertising industry by enabling clients to realize the full potential of Meta's marketing solutions and even defining new solutions. You will work with marketing executives at companies on their industry-leading advertising initiatives, translating their business goals into an execution plan using Metas suite of cutting-edge advertising platform. This role will allow you to apply your experience for problem solving to achieving real-world marketing results at Meta scale.
Solutions Architect Responsibilities
Act as a technical consultant and subject matter expert on Meta's marketing technology solutions for the marketing organizations at some of the largest companies in the world
Guide our clients to the most optimal implementations by walking them through the technical details Meta's advertising platform and products
Work closely with sales teams to unlock and develop new opportunities by developing a comprehensive understanding of business goals and industry trends
Influence the marketing industry through technology by participating in industry conferences and presenting to executive-level audience
Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
Break down coding projects into tasks and partner with all applicable teams and partners to meet pre-established goals
Build relationships with team members and cross functional partners
document and share project updates and insights
influence decision-making through presentation of data-centric business topics
Participate in interviewing and on-boarding of new team members.

The Client Solutions Manager partners with our most strategic clients to make sure they are successful with our company. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals mainly Fashion. The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions. This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Success in this position requires consultative sales and analytical skills, a focus on client service and commercial acumen, and the drive to thrive in a dynamic, team-focused environment. You should have passion for our company, Instagram, our companys advertising solutions and the overall marketing/tech ecosystem.
Client Solution Manager, Tech & Commerce, 12 Month Contract Responsibilities
Track record of excelling in Client Solution Manager role and driving impact on solution adoption, revenue, and operational rigor
Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients
Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers
Work with businesses to understand their objectives and develop the company strategy in partnership with the Client Partner and cross-functional teams, which will constitute building on insights, crafting marketing strategies and media plans, creative guidance and measurement recommendations
Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients
Project Management - Work and collaborate with a group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients. Manage analytics and dashboards to advise clients (for example daily client facing data/insights reporting, understanding performance across multiple accounts across multiple country used by clients)
Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.)
Manage internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities)
Manage planning, execution, ongoing reporting and optimisation of campaigns (Observe budget spend, manage internal analytics and dashboards, provide optimisation and real time recommendations).

We are seeking a highly skilled and experienced individual to lead our efforts in mitigating financial loss from payment fraud across Meta. This individual will manage a team of Product Managers in Israel and the US and collaborate with global leads from Financial Risk Management, Customer Integrity & Support and product teams, to ensure Meta is safeguarding its financial integrity by addressing leakage from bad actors, lost good revenue, and friction caused by efforts to manage the fraud which includes compromise and abusive payments.
Leveraging Machine Learning for Risk Management: Building financial trust and mitigating loss are crucial for driving growth within Meta's financial ecosystem. We're extensively leveraging Machine Learning (ML) to drive revenue growth by minimizing financial losses, including leakage (lost revenue due to fraud), good revenue loss (lost revenue due to reduced spending by benign users impacted by bad actors), friction (negative experiences for benign users due to false positives), and fines, while reducing compliance risks and establishing Meta as a trusted payment ecosystem.
Director of Product Management, Payments Fraud Management Responsibilities
Strategic Leadership: Lead the Payments Fraud Management team, collaborating cross-Meta to develop and execute strategies that mitigate financial loss from payment fraud. Partner with Cross Functional partners in development of the North Star of lost revenue from payment fraud, and the strategy to get there.
Drive complex strategic initiatives that impact 100+ members across multiple teams, fostering a collaborative environment to drive efficiency, alignment, and execution across the organization.
Roadmap Development: Guide teams in developing team-level roadmaps that align with the overall long-term strategy.
Cohesively present to VPs across Integrity and Monetization on behalf of the organization (in partnership with Integrity organization)
Machine Learning Architecture: Develop and implement machine learning (ML) solutions to drive revenue growth by minimizing financial losses
Collaboration and Alignment: Work closely with Integrity, Support and Monetization leadership to ensure alignment on objectives, reporting frameworks for financial loss from payments fraud, and providing regular updates on progress and challenges
Strategic thinker with a track record of developing and implementing successful short-term and long-term fraud mitigation strategies
Experience managing a team of Product Managers.

we are looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. Youll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against our company systems. You will be working across engineering teams to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. Youll generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineer - Surface Coverage, Detection Engineering Responsibilities
Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents
Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls
Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment
Perform analysis against logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential threats and detection ideas
Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate
Support security incident response in a cross-functional environment and drive incident resolution
Design and implement attack testing automation to validate detection coverage
Build logging pipelines using our custom datasets and infrastructure.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.