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Research, identify, evaluate and implement the best solutions for security in Wixs production environment
Research, identify, evaluate and implement the best solutions for the platform code and services used by our developers
Work closely with development and system teams on all SDLC levels, performing security design reviews, threat modeling and penetration tests, while acting as a security mentor for developers
Investigate abnormal activity in production
Build creative tools and services to detect and solve cross-security issues

Lead the Growth Data Analytics team, a group turning complex data into decisions that move the business forward. The Team Lead will be responsible for creating strong priorities, setting a high bar for analytical quality, and supporting decision-ready outputs fast.

Lead a team of data and business analysts to deliver clear, actionable insights with measurable business outcomes

Define the acquisition and growth metrics framework and maintain a single source of truth in dashboards and models

Plan and prioritize the teams pipeline against business goals; solve pain points and keep momentum in a fast-paced environment

Partner with marketing, product, and data engineering to define, measure, and optimize core business models and user journeys

Establish pragmatic practices for quality and scale, including reviews, QA, documentation, and lightweight standards that speed up decisions

Recruit, onboard, and help analysts succeed while fostering a culture of sharp thinking, crisp communication, and ownership

We are seeking a Senior AI Product Manager to lead the strategy and execution of AI solutions optimized for edge environments for Microsofts Adaptive Cloud and Azure Arc customers. This role focuses on enabling low-latency, high-performance AI workloads that run on distributed infrastructure while integrating seamlessly with cloud services and with Microsoft Foundry products.

The ideal candidate is technical, hands-on, and deeply familiar with AI systems, capable of bridging business needs with engineering execution. You will define the roadmap, partner with engineering, and ensure our products deliver real-world impact across industries such as manufacturing, retail, and IoT.

Microsoft is a global organization, so we collaborate across time zones and occasionally travel to meet customers or attend key events.

(Bonus: If you love solving complex problems and get excited about running AI where the internet barely reaches - this role is for you!)
Key Responsibilities



Product Strategy & Roadmap
Define and own the vision for Edge AI capabilities, ensuring scalability, security, and performance.
Identify customer pain points and translate them into actionable product requirements.
Execution & Delivery
Work closely with engineering to design and deliver AI features for edge deployments.
Ensure compliance with Responsible AI principles and security standards.
Drive AI workloads and orchestration strategies for distributed environments.
Customer & Market Engagement
Engage with enterprise customers to understand edge AI scenarios and adoption blockers.
Analyze competitive landscape and ensure differentiation through innovation.
Go-To-Market Expertise
Partnering with marketing, sales, and business development to craft positioning and messaging.
Driving launch readiness, pricing, and packaging decisions.
Engaging with customers and partners to validate value propositions and accelerate adoption
Measuring success through data and metrics, customer feedback, and revenue impact.

Central Applied Science (CAS) is a research and development team, working to improve Metas products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily.

Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Metas successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) 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.
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.