Qureos Mentor

Data Scientist, Product

<div>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 strong 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.<br>
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<h3 class="jobSectionHeader"><b>Data Engineer, Product Analytics (University Grad) Responsibilities:
</b><br>
</h3><ul><li>Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems</li><li>
Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve</li><li>
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way</li><li>
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership</li><li>
Design, build and launch new data models and visualizations in production, leveraging common development toolkits</li><li>
Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries</li><li>
Support existing processes running in production and implement optimized solutions with limited guidance</li><li>
Define and manage Service Level Agreements for data sets in allocated areas of ownership</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta</li><li>
Knowledge of SQL</li><li>
Programming knowledge in Python</li><li>
Knowledge of database systems</li><li>
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Curious, self-driven, analytical and excited to play with data</li><li>
Experience thriving in a fast-paced work environment</li><li>
Experience in collaborating with individuals and organizations</li><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$99,008/year to $139,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Data Engineer, Product Analytics (University Grad)

<div>Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization of server and infrastructure capacity across our global data center fleet. In this role, you will work at the intersection of site operations and capacity planning, translating demand forecasts and utilization data into actionable deployment strategies that ensure Meta's data centers can reliably support billions of users. You will collaborate with infrastructure, network, and operations teams to align capacity supply with business demand, identify bottlenecks, and drive efficient use of compute, storage, and power resources across large-scale data center environments.<br>
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<h3 class="jobSectionHeader"><b>Data Center Capacity Engineer Responsibilities:
</b><br>
</h3><ul><li>Overall accountability for capacity workflows (receiving, moves, decommissions), facilitating collaboration among various cross-functional partners to meet capacity demands</li><li>
Collaborate closely with key stakeholders and partners to implement strategies and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers</li><li>
Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the site</li><li>
Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta&rsquo;s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers</li><li>
Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations</li><li>
Implement and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety</li><li>
Drive alignment and execution of key capacity, engineering, and operational initiatives across functional partners at the site. Ensure operational consistency, to scale operations efficiently and effectively</li><li>
Lead data analytics, metrics, and interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution</li><li>
Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintaining, and decommissioning of server hardware at scale</li><li>
Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure</li><li>
Share knowledge with capacity team members, both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way</li><li>
Display knowledge of infrastructure (including, but not limited to, cooling, power, networking) as it relates to the capacity role</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
5+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management</li><li>
Experience in process ownership and development, and in systems development</li><li>
Knowledge of enterprise-level networking, server, and storage installs</li><li>
Comprehensive understanding of data center infrastructure systems and applications, as well as technical knowledge from related industries such as pharmaceuticals, nuclear, or large-scale manufacturing</li><li>
Demonstrated ability to solve complex problems and to think at scale</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience in the application of data-driven continuous improvement through lean Six Sigma data and process analysis, visualization, and data modeling</li><li>
Project management and delivery experience. Certifications in Agile or PMP certification</li><li>
SQL, Python, or other programming and automation experience</li></ul><br>
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<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
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<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$83,990/year to $130,000/year + bonus + equity + benefits<br>
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Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Data Center Capacity Engineer

<div>Meta is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide.The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning.The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems &amp; tooling engineering.<br>
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<h3 class="jobSectionHeader"><b>Data Center Capacity Engineer Responsibilities:
</b><br>
</h3><ul><li>Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands</li><li>
Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers</li><li>
Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center</li><li>
Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta&rsquo;s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers</li><li>
Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations</li><li>
Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety</li><li>
Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively</li><li>
Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution</li><li>
Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale</li><li>
Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure</li><li>
Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way</li><li>
Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management</li><li>
Experience with process ownership and development, and systems development</li><li>
Knowledge of enterprise-level networking, servers, and storage installations</li><li>
Demonstrated understanding of data center infrastructure systems and applications</li><li>
Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions</li><li>
Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences</li><li>
Demonstrated ability to solve complex problems and to deliver at scale</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Master's degree in an engineering discipline</li><li>
Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages</li><li>
Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity</li><li>
Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment</li><li>
Experience in driving results through AI in a hyperscale environment</li><li>
Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains</li><li>
Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling</li><li>
Project management and delivery experience through Agile methodology or PMP certification</li></ul><br>
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<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
<br>
<br>
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
<br>
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
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$111,010/year to $158,995/year + bonus + equity + benefits<br>
<br>
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

<div>Meta is looking for an experienced marketing leader with a passion for building global brands, managing complex product portfolios, and developing insights-driven marketing strategies that build affinity, engagement, and sustained growth across Instagram, Threads, and Creator Marketing.In this role, you will serve as the marketing leader across three distinct but interconnected products, each with different audiences, competitive dynamics, and growth stages. You will sit on the marketing leadership team, reporting to the Head of FOA Consumer and Creator Marketing, with a mandate to shape brand strategy, drive growth with critical audiences, architect brand campaigns and go-to-markets, and integrate AI into how the team works and markets.The ideal candidate brings foundational brand marketing depth, significant consumer technology experience, and a proven track record of leading large multi-disciplinary teams, influencing cross-functional partners at executive levels, and managing a portfolio of brands with competing priorities and distinct identities. You must have experience connecting business strategy, product strategy, and brand strategy, and translating insights into briefs that spark world-class creativity. You must have the conviction to build new models while delivering measurable impact against clear business outcomes.<br>
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<h3 class="jobSectionHeader"><b>Global Head of Marketing, Instagram-Creators-Threads Responsibilities:
</b><br>
</h3><ul><li>Set the strategic vision across the full portfolio.</li><li>
Lead brand strategy, marketing planning, and go-to-market execution for Instagram, Threads, and Creator Marketing.</li><li>
Define how each brand is positioned, where they complement one another, and how to allocate resources across products at different maturity stages.</li><li>
Shape brand evolution and competitive positioning &amp; drive growth with critical audiences.</li><li>
Own the marketing strategy for important audiences across the portfolio.</li><li>
Build strategies grounded in cultural insight, data, and a deep understanding of audience dynamics across markets.</li><li>
Build and scale the through-creator marketing model.</li><li>
Shape Creator Marketing as a scalable marketing channel across Meta's Family of Apps, from influencer strategy and partnership programs to creator-led content that drives both brand and performance outcomes.</li><li>
Integrate AI into marketing strategy and operations.</li><li>
Embed AI into team workflows to drive step-change productivity gains and lead the team toward an AI-first operating model.</li><li>
Influence product strategy and cross-functional priorities.</li><li>
Partner with Product, Engineering, Data Science, Research, and Creative teams to inform product roadmaps, build effective go-to-market strategies, and deliver integrated marketing that connects to measurable business outcomes.</li><li>
Build measurement frameworks and use data to drive decisions.</li><li>
Define brand health architectures, set success metrics, build measurement systems for sustained marketing, and use data to shape investment strategy, optimize campaigns, and tell the business story to executive leadership.</li><li>
Manage significant marketing investment.</li><li>
Make resource allocation decisions across a multi-product portfolio, balancing short-term performance with long-term brand building, and demonstrating ROI to C-suite stakeholders.</li><li>
Develop and lead a world-class marketing organization.</li><li>
Lead, inspire, and grow a large, multi-disciplinary team spanning brand marketing, product marketing, creator marketing, and integrated campaigns.</li><li>
Foster a culture of excellence, inclusion, intellectual rigor, and speed.</li><li>
Represent the portfolio at the highest levels.</li><li>
Present to executive leadership, including C-suite and CEO-level reviews, with clarity, conviction, and data.</li><li>
Build influence and alignment across matrixed stakeholders.</li></ul><br>
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<h3 class="jobSectionHeader"><b>Minimum Qualifications:</b><br>
</h3><ul><li>
12+ years of experience in brand marketing, product marketing, consumer products, and/or brand management, with brands and at companies with global scale</li><li>
10+years of experience with team leadership, cross-functional team leadership, or team management</li><li>
Demonstrated track record of managing a multi-product or multi-brand portfolio with distinct brand identities and competing resource demands</li><li>
Proven experience developing global strategy and delivering impactful marketing campaigns internationally, supported by data</li><li>
Deep data fluency: proven experience building measurement frameworks, defining brand health metrics, and using data to shape both strategy and investment decisions</li><li>
Experience building mass-market consumer-centric brands with demonstrated expertise in brand evolution or brand repositioning during periods of significant product or market change</li><li>
Experience developing and executing large-scale integrated marketing campaigns (online/offline, social, digital, events), including both brand-building and acquisition marketing</li><li>
Experience sitting on executive leadership teams, influencing company-level strategy, and presenting to C-suite and executive stakeholders</li><li>
Experience partnering with product management, engineering, data science, research, creative, and other cross-functional teams to shape product roadmaps and drive business results</li><li>
Experience managing significant marketing budgets and making portfolio-level resource allocation tradeoffs</li><li>
Bachelor's Degree</li></ul><br>
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<h3 class="jobSectionHeader"><b>Preferred Qualifications:</b><br>
</h3><ul><li>
Experience leading consumer marketing for large-scale tech brands</li><li>
Creator-economy expertise and experience marketing with and through creators</li><li>
Incremental experience in product marketing and growth marketing</li><li>
Experience leading marketing for products at different maturity stages simultaneously (established global brands, high-growth emerging products, brand transformations)</li></ul><br>
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<br>
<h3 class="jobSectionHeader"><b>About Meta:</b><br>
</h3>
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.<br>
<br>
<br>
<div>Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
<br>
<br>
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.<br>
<br>
$296,000/year to $356,000/year + bonus + equity + benefits<br>
<br>
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.</div></div>

Global Head of Marketing, Instagram-Creators-Threads

<div>
 Out team at Meta is seeking a highly skilled and experienced Materials Scientist to join our team in developing advanced materials for our wearables&rsquo; technology. You will play a critical role in designing, modeling, and prototyping novel concepts, working closely with cross-functional teams to create innovative solutions. This is an exciting opportunity to work on cutting-edge technology and contribute to the development of next-generation wearables.
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 Materials Scientist &mdash; Organic Crystal Growth &amp; Process Engineering Responsibilities:
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 <ul>
  <li>
   Develop and optimize processes for creating advanced materials for wearables displays
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   Design, model, and prototype novel concepts for wearables displays
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  <li>
   Collaborate with cross-functional teams, including scientists, engineers, and researchers
  </li>
  <li>
   Characterize and analyze materials using various techniques, such as SEM, AFM, XRD, and DSC
  </li>
  <li>
   Develop and apply multiphysics simulations to inform process design and scale-up
  </li>
  <li>
   Document experimental methods, results, and process knowledge
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   <br/>
  </li>
 </ul>
 Minimum Qualifications:
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 <br/>
 <ul>
  <li>
   PhD degree in Chemical Engineering, Materials Science, Materials Chemistry, Physical Chemistry, Organic Physics, Polymer Physics or relevant technical field, and/or equivalent practical experience
  </li>
  <li>
   3+ years of relevant industry or postdoctoral experience and/or equivalent practical experience
  </li>
  <li>
   Demonstrated experience with material development, characterization, and analysis
  </li>
  <li>
   Familiarity with phase diagram determination, thermal analysis, and solid-state characterization techniques
  </li>
  <li>
   Hands-on laboratory experience with inert-atmosphere techniques and purification methods
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
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 <br/>
 <ul>
  <li>
   Experience with at least one multiphysics simulation platform (e.g., COMSOL Multiphysics, Ansys Fluent/Mechanical, Siemens FLOEFD/StarCCM+, or equivalent)
  </li>
  <li>
   Experience working in a R&amp;D environment with cross-functional collaboration
  </li>
  <li>
   Demonstrated experience publication record in organic solid-state materials, crystal engineering, or related disciplines
  </li>
  <li>
   Strong publication record in organic solid-state materials, crystal engineering, or related disciplines
  </li>
  <li>
   Experience with CAD tools (e.g., NX, SolidWorks, or equivalent) and rapid prototyping (CNC machining, 3D printing, material selection for fixtures/tooling)
  </li>
  <li>
   Proficiency with molecular characterization techniques such as NMR, GC/MS, and/or LC/MS for purity analysis and structural confirmation
  </li>
  <li>
   Knowledge of defect analysis in molecular crystals (e.g., dislocations, grain boundaries, polymorphism)
  </li>
  <li>
   Experience with organic optoelectronic device fabrication or characterization (OLEDs, OPVs, OFETs)
  </li>
  <li>
   Demonstrated experience with melt growth, zone refining, Bridgman growth, or related crystallization techniques for organic or molecular solids
  </li>
  <li>
   Experience designing or scaling up crystal growth furnaces or custom thermal processing equipment, hardware assembling and/or engineering controls
  </li>
  <li>
   Proficiency with solid-state characterization techniques including at least two of the following: SEM, AFM, XRD, DSC, TGA, or polarized optical microscopy
  </li>
  <li>
   Hands-on laboratory experience with inert-atmosphere techniques (glove box operation) and purification methods (sublimation, recrystallization)
  </li>
  <li>
   Direct experience growing single crystals of organic semiconductors or &pi;-conjugated molecular materials (e.g., acenes, thiophenes, perylenes)
  </li>
  <li>
   Familiarity with phase diagram determination and thermal analysis of organic systems
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $154,000/year to $217,000/year + bonus + equity + benefits
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 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
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Materials Scientist — Organic Crystal Growth & Process Engineering

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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 strong 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.
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 Data Engineer, Product Analytics Responsibilities:
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   Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
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   Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
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   Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
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   Define and manage Service Level Agreements for all data sets in allocated areas of ownership
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   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
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   Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
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   Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
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   Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
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   Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
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   Influence product and cross-functional teams to identify data opportunities to drive impact
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   Mentor team members by giving/receiving actionable feedback
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 Minimum Qualifications:
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   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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   4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
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   4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
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 Preferred Qualifications:
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   Master's or Ph.D degree in a STEM field
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   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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 About Meta:
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 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
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 $147,000/year to $208,000/year + bonus + equity + benefits
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 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
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Data Engineer, Product Analytics

Join Meta and explore 10   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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