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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
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
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
Influence product and cross-functional teams to identify data opportunities to drive impact

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 seeking an experienced and visionary Principal Product Design Manager to lead UX for Microsofts XDR, SIEM, and Security Copilot experiences across the Defender product suite. In this pivotal role, you will shape the design strategy for mission-critical security tools that empower practitionersfrom SOC analysts to CISOsto protect their organizations with confidence.

You will guide a talented team of designers, fostering a culture of innovation, inclusion, and excellence. Partnering closely with engineering, product, and research, youll drive an AI-first approach to design, delivering intuitive, scalable solutions that help customers detect, investigate, and respond to threats across their digital estate.

This role demands a leader who thrives in complexity, champions customer empathy, and brings deep expertise in enterprise product design. Your work will directly support Microsofts mission to make the world a safer placeby protecting users, organizations, and the broader ecosystem from evolving cybersecurity threats.



Responsibilities
Deliver world-class design solutions from initial concept through finished product 

Provide insightful perspectives and ideas that will help shape the direction of company-wide investments in the security space.

Advocate for your design solutions by putting them in context of business, user goals, and ecosystem considerations.

Incorporate system and framework thinking and pattern-matching into solutions to reinforce integrity of design system and product cohesion

Contribute to the visual systems and visual language for a product.

Work closely and constructively with product management, content designers, user researchers, engineers and other designers to iterate and deliver design artifacts and solutions.

Create wireframes, journey maps, prototypes and detailed mockups to iterate on product scenarios.

Seek out and incorporate the feedback of the design team to refine your designs and align to larger product patterns.

Clearly communicate your work to peers and leadership.

Work alongside leadership team members to create compelling narratives for a specific product or feature and develop product architectures and systems.

Contribute to evaluating and prioritizing work.

Ship world-class applications that delight technical roles with an emphasis on AI, craft, quality, trust, and positive user and societal impact.

Own multiple product areas, identify new opportunities and generate innovative through deep customer understanding, ensuring the experience vision is driven by user needs and manage launches and iterations.

Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Cross-functional and cross-divisional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line.

Thrive in a complex, design-driven, product development cycle. Measure success with data and research.

Embody our culture and values

Travel: 10%