דרושים Meta

As a Product Growth Analyst at Meta, you will help grow products used by billions of people and businesses all over the world across our apps including Facebook, Instagram, WhatsApp and Oculus. The Product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. The role requires using a mix of skills including analysis, creative product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance.

The Growth practice was started right here at Meta, putting you at the forefront of the industry with great opportunity to learn about growth from experts. It is a lean and highly regarded team with a strong and close-knit culture and emphasis on regular sharing of successful strategies, tactics and insights across products. Our team values are to own the outcome, focus on driving sustainable impact, and put team success first. There is great opportunity to be a leader and influence the direction of high-visibility and high-impact initiatives, and to see your work come to life in some of the most widely used apps in the world.

Meta is an equal opportunity employer that provides competitive benefits. Our benefits include generous paid time off, retirement investment plans with employer matching, holistic wellness program including physical and mental health and internal community and mentorship groups.
Product Growth Analyst Responsibilities
Drive long-term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences
Use data to understand trends in user behavior and product usage to influence strategy
Identify opportunities to drive growth and prioritize them to maximize long term growth
Execute on projects by working closely with engineering, product management, data science and other members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results in order to make launch decisions

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have demonstrated experience in data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, demonstrated experience in operational skills to drive efficiency and speed, project management leadership, and a comprehensive vision for how data can proactively improve companies.
Data Engineering Manager, Analytics Responsibilities
Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
Define the processes needed to achieve operational efficency in all areas, including project management and system reliability.
Build a high-quality BI and Data Warehousing team and design the team to scale.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Manage data warehouse plans across a product vertical.
Drive the design, building, and launching of new data models and data pipelines in production.
Drive data quality across the product vertical and related business areas.
Manage the delivery of high impact dashboards and data visualizations.
Define and manage SLAs for all data sets and processes running in production.

Meta Tel Aviv is hiring Engineering Managers to lead rapid scaling internationally. We want the most creative and experienced engineering leaders to join us in giving people the power to build community and bring the world closer together. We are looking for Software Engineering Managers with progressive technical experience, a demonstrated progression of management scope and a passion for managing outstanding engineers in a fast-paced environment.
Software Engineering Manager, Tel Aviv Responsibilities
Be a highly technical, hands-on and an effective people manager
Mentor and support engineers' growth and success, help them to find and focus on their strengths
Lead and guide engineering culture to form a high performance team
Communicate across functions and drive engineering initiatives
Participate in technical design
Be a subject matter expert in a product domain
Define and influence product strategy
Maximize efficiency in a constantly evolving environment where process is fluid and creative solutions are the norm
Contribute to the overall maturity of deployment and other processes

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.

Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances. By developing new products capable of understanding the human environments, we will enable a metaverse where people can share virtual experiences which interact seamlessly with the real world.

Our XR Tech organization in Tel-Aviv is focused on research and development of machine perception technologies from early concepts to production level across all of Metas RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting Tracking and SLAM for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision Responsibilities
Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
Provide technical leadership and guidance to both your team members and your project peers.