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  • Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

    Meta - Zurich, Switzerland; London, UK
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Data From the posting source - Entry From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Research Scientist Intern, AI/ML, Core Ads Growth (PhD) Zurich, Switzerland; London, UK Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta's research in Artificial Intelligence, Distributed Computing, and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a PhD intern at Meta, you will help build machine learning systems and models behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe. As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models. - Suggest, collect

  • Team Leader (M/F/D) - Afternoon Shift

    BorgWarner - Viana do Castelo II - Portugal
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 66 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Team Leader (M/F/D) - Afternoon Shift Viana do Castelo II - Portugal posted: Posted 5 Days Ago

  • Head of Public Policy for Thailand

    Meta - Bangkok, Thailand
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Other - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Head of Public Policy for Thailand Bangkok, Thailand Meta is seeking a strategic thinker to join our Thailand Public Policy team as Head of Public Policy for Thailand. You will work on the full range of policy issues related to Meta's mission of building the future of human connection and the technology that makes it possible. In this role, you will be responsible for understanding Meta's business and policy priorities and being able to communicate those to policymakers, civil society, academia and other stakeholders such as trade associations. Additionally, you will collaborate with colleagues across the business globally. The ideal candidate will have keen Interest in emerging technologies and policy work and demonstrated written and spoken communications skills in Thai and English. You will become part of a team that deals with some of the most interesting public policy challenges of our times including privacy, safety, e-commerce and AI. This position will be based in Bangkok and will report to the Director of Public Policy, Central Southeast Asia & ASEAN. Responsibilities: - Provide strategic policy advice to key business and policy team partners - Work with policymakers, non-governmental organizations (NGOs), academics and private sector organizations, including local, regional and international organizations, on issues relating to privacy, safety, e-commerce and AI, amongst other technology-relevant public policy concerns - Work with our policy programs team to develop and implement strategic and high-impact programs to address key policy issues - Represent Meta in meetings and public events with policymakers and other stakeholders -

  • Performance & Capacity Engineering - Capacity Planning Optimization

    Meta - Bellevue, WA; Menlo Park, CA; Boston, MA; New York, NY
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 61 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Onsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source $184K-$257K From the posting source Equity Inferred from posting 401(k) reported

    Performance & Capacity Engineering - Capacity Planning Optimization Bellevue, WA; Menlo Park, CA; Boston, MA; New York, NY Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world! Responsibilities: - Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network - Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers - Contribute to

  • #CORE DIGITAL CAMPUS Full-Stack Developer

    Airbus - Albacete
    Indexed from Workday
    posted 92 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed

    #CORE DIGITAL CAMPUS Full-Stack Developer Albacete posted: Posted 30+ Days Ago

  • Research Scientist, AI & Systems Co-design (PhD)

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 61 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Engineering From the posting source - Mid From the posting source $122K-$181K From the posting source Equity Inferred from posting 401(k) reported

    Research Scientist, AI & Systems Co-design (PhD) Menlo Park, CA Our teams' mission is to explore, develop and help productionize high performance software & hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system from models and runtime all the way to the AI hardware, optimizing across compute, network and storage. The team invests significantly into model optimization on existing accelerator systems and guiding the future of models and AI HW at Meta. This drives improved performance, new model architectures and reduces cost of ownership for all key AI services at Meta: Recommendations and Generative AI. This is an exciting space that spans exploration and productionization, coupled with close collaborations with industry, academia, Meta's Infrastructure and Product groups. Collaborating closely with product teams, the team's mode of operation is going from ideation and rapid prototyping, all the way to assisting productization of high leverage ideas, working with many partner teams to bring learnings from prototype into production. In addition to the real-world impact on billions of users of the Meta products, our team members have won Best Paper Awards at prestigious conferences such as ISCA, ASPLOS, SOSP, and OSDI, with multiple papers selected for IEEE Micro Top Picks. We regularly publish in ICML, NeurIPS, SC, HPCA, NSDI, VLDB, MLSys, and more. Overall, our work largely corresponds to the research communities of systems in general and especially systems for ML (MLSys, SOSP, OSDI, SIGCOMM, NSDI), hardware architecture (ISCA, ASPLOS), ML

  • Team Leader - Temporary Assignment

    Abbott Laboratories - Puerto Rico - Arecibo
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 62 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Team Leader - Temporary Assignment Puerto Rico - Arecibo posted: Posted Yesterday

  • Data Science Director

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 65 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Data From the posting source - Director Plus From the posting source $253K-$314K From the posting source Equity Inferred from posting 401(k) reported

    Data Science Director Menlo Park, CA We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations. About the role: People leadership: You will inspire, lead and grow a world-class team. Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. 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. Responsibilities: - Inspire, lead and grow a distributed team of data scientists and data science leaders across North America - Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.

  • Quality Control Group Leader - 2nd Shift

    GE Vernova - Parsippany
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 64 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 10 wksource Resolvable source Verified non-birth-parent leave: 10 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Quality Control Group Leader - 2nd Shift Parsippany posted: Posted 3 Days Ago

  • Commercial Sourcing Manager - Cloud

    Meta - Fremont, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 68 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Operations From the posting source - Mid From the posting source $179K-$249K From the posting source Equity Inferred from posting 401(k) reported

    Commercial Sourcing Manager - Cloud Fremont, CA The Compute & Storage, AI, and Networking Technology Sourcing Team moves fast and leverages key partnerships to drive technical innovation, high quality standards and cost-savings via a customized supply chain. The Cloud Commercial Sourcing Manager will act as the lead commercial and business contact for Cloud hardware, software, and services across the Meta supply base, while developing optionality on sources of supply as required. Sourcing activities will include, but not be limited to, identification of cloud service providers and options, developing and leading negotiation and sourcing strategies, partnering with Meta Infra Research, hardware and software engineering teams to develop a business and technology roadmap in support of Meta's AI goals and objectives and driving strategic sourcing decisions on a global basis. Working closely with the Research and development engineering Teams, the Sourcing Manager will lead the commercial engagements and partner relationships for cloud sourcing and related services in support of AI model research & development. The Sourcing Manager will also be responsible for the deployment of selected solutions and technologies, and supplier management with particular emphasis in the areas of sourcing and licensing for cloud technologies and services. Additionally, the Sourcing Manager will be responsible for contracts, negotiations, custom engagement models, software licensing, and the development of global commodity and supply chain strategies to enable Meta to meet time-to-development goals, while managing the total landed cost. This position reports to the Director of technology sourcing. Responsibilities: - Maintain current knowledge of the technology

  • Alternant - Labo Electronique

    GE Vernova - Massy
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 61 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Mid From the posting source Resolvable source Verified parental leave: 10 wksource Resolvable source Verified non-birth-parent leave: 10 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Alternant - Labo Electronique Massy posted: Posted Today

  • Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

    Meta - Menlo Park, CA; Seattle, WA; Boston, MA; New York, NY
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 61 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Engineering From the posting source - Mid From the posting source $219K-$301K From the posting source Equity Inferred from posting 401(k) reported

    Performance & Capacity Engineer - Capacity Planning Optimization (Leadership) Menlo Park, CA; Seattle, WA; Boston, MA; New York, NY Meta is seeking a leader to join the Capacity Planning Optimization Engineering team to lead our Capacity Planning process design and execution. You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity. This is a hands on leadership role, interfacing with executive leadership at the company to run our infrastructure Capacity Planning processes. Although this is not a software engineering role, you will also design and contribute to planning software systems to increase planning efficiency and quality. You will be in one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will be uniquely positioned to optimize these capacity plans at the most strategic levels with company level impact, with your output used at the CxO level for the most important decisions at the company, as well as providing execution guidance for infrastructure and product teams. To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software

  • Tècnic de Procés

    Jabil - Tortosa
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 92 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Tècnic de Procés Tortosa posted: Posted 30+ Days Ago

  • AI Research Scientist, Media Data Research - MSL FAIR

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 68 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Data From the posting source - Mid From the posting source $154K-$217K From the posting source Equity Inferred from posting 401(k) reported

    AI Research Scientist, Media Data Research - MSL FAIR Menlo Park, CA Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for researchers with LLM/LMM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, agent, media perception and generation). We are tackling complex challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what is possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Responsibilities: - Collaborate with cross-functional teams to develop Meta's next foundational models - Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data - Fundamentally improve our data velocity across workflows and projects by contributing to quality in data tooling - Execute on high priority projects in pre-training, mid-training, or post-training data curation - Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing - Lead complex technical projects end-to-end Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - PhD in Computer Science or

  • Senior Spanish Linguist

    Leidos - Vienna, VA
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 92 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Senior From the posting source Resolvable source Verified parental leave: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Spanish Linguist Vienna, VA posted: Posted 30+ Days Ago

  • Research Engineer, Text Data Research - MSL FAIR

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 65 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Engineering From the posting source - Mid From the posting source $184K-$257K From the posting source Equity Inferred from posting 401(k) reported

    Research Engineer, Text Data Research - MSL FAIR Menlo Park, CA Meta is seeking AI research engineers to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for engineers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. Responsibilities: - Collaborate with cross-functional teams to develop Meta's next foundational models - Architect efficient and scalable data curation systems and pipelines - Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling - Execute on high priority projects in pre-training, mid-training, or post-training data curation - Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization - Lead complex technical projects end-to-end Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 2+ years of industry research experience in LLM/NLP or related AI/ML models - Experience as a

  • Consolideur Senior

    Ipsen - Paris
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 92 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Consolideur Senior Paris posted: Posted 30+ Days Ago

  • Postdoctoral Researcher, AI and Systems Co-design Team

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 65 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Engineering From the posting source - Mid From the posting source $122K-$181K From the posting source Equity Inferred from posting 401(k) reported

    Postdoctoral Researcher, AI and Systems Co-design Team Menlo Park, CA Conduct research across AI hardware, software, and algorithms. Responsibilities: - Utilize extensive understanding of hardware architecture and software to analyze the scalability bottlenecks in our AI and Compute Fleet - Conduct state-of-the-art research to advance the science and technology of AI infrastructure - Collaborate closely with the team as well as cross-functional partners across a broad range of disciplines and contribute towards Meta's research product development - Influence progress of relevant research communities by producing high-quality publications - Open source research code and conduct reproducible research - Bring the latest ideas to Meta, e.g., through inviting leading researchers to talk to their work at Meta, through sharing advances in the field through internal talks and notes - Build a research program for your future Minimum qualifications: - 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 - Close to completing/recently completed PhD in CS or related fields - Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research - Relevant research experience working onAI hardware, software, and algorithms - Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Preferred qualifications: - Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals and conferences - Experience with driving

  • Senior Director, Engineering

    Relativity - 9 Locations
    Indexed from Workday
    posted 92 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Staff Plus From the posting source Salary not disclosed

    Senior Director, Engineering 9 Locations posted: Posted 30+ Days Ago

  • Postdoctoral Researcher, Fundamental AI Research (PhD)

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 68 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Engineering From the posting source - Mid From the posting source $122K-$181K From the posting source Equity Inferred from posting 401(k) reported

    Postdoctoral Researcher, Fundamental AI Research (PhD) Menlo Park, CA Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence. Responsibilities: - Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results - Contribute to publications and open-sourcing efforts - Work with a large team and play a significant role in healthy cross-functional collaboration - Help identify long-term ambitious research goals as well as intermediate milestones - Prioritize research that can be applied to Meta's product development Minimum qualifications: - 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 - Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta - Research background in machine learning, natural language processing, computer

  • ESTAGIÁRIO DE ENGENHARIA

    Jabil - Manaus
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 61 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    ESTAGIÁRIO DE ENGENHARIA Manaus posted: Posted Today

  • Werkstudent (m/w/d)

    RELX - GERMANY-DUS-Johannstrasse
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 64 days ago

    Why we showed this

    Role: semantic match
    Unspecified Other - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Werkstudent (m/w/d) GERMANY-DUS-Johannstrasse posted: Posted 3 Days Ago

  • APAC Business Development - Monetization Partnerships

    Meta - Singapore
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026
    posted 65 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Sales From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    APAC Business Development - Monetization Partnerships Singapore Drive long-term revenue growth and strategic value for Meta by leading three core workstreams: (1) negotiating and executing strategic bespoke deals with high-value partners (e.g., AI enablers, marketplace/commerce platforms, agentic partners, creator platforms, data providers), (2) shaping early-stage product initiatives where the business model, value exchange, and commercial terms are not yet defined, and (3) developing new ecosystems that unlock net-new revenue opportunities across APAC markets. Responsibilities: - Lead complex, multi-stakeholder negotiations - Influence product strategy through partner feedback loops - Drive outcomes across a portfolio spanning APAC and global markets - Serve as the connective tissue between Meta's product roadmap and the region's most consequential commercial partnerships - Accelerate Meta's ability to meet businesses where they are by building the partner integrations, deal structures, and go-to-market frameworks that turn product capabilities into scaled revenue Minimum qualifications: - 8+ years experience in business development, partnerships or product roles - Demonstrable understanding of how technology works, including practical experience with Meta's '0 to 1' product launches - Experience in gathering requirements across broad areas and partners, and converting and developing them into a large scale solution - Proven experience in working successfully with cross-functional peers and stakeholders, both internally and externally - Ability to operate with a high degree of autonomy displaying leadership, organizational and execution skills with a sense of urgency - Experience in analyzing and making decisions based on data, and using these findings to close partnerships - Experience in working with

  • Director, MSL Business Lead

    Meta - Menlo Park, CA
    Indexed from Meta Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 61 days ago

    Why we showed this

    Description: "meta"Employer: "meta"
    Unspecified Data From the posting source - Staff Plus From the posting source $233K-$299K From the posting source Equity Inferred from posting 401(k) reported

    Director, MSL Business Lead Menlo Park, CA The Meta SuperIntelligence Lab (MSL) is dedicated to developing AI-powered experiences for consumers, leveraging Meta's cutting-edge models. Meta is seeking a Business Lead for the Meta SuperIntelligence Lab organization. This role is crucial for facilitating and driving the success of the leader, their respective leadership team, and the broader MSL organization. Key responsibilities include comprehensive executive operations, strategic thought partnership, meeting preparation and management, project coordination, organizational engagement, alongside proactive stakeholder management and project oversight for emergent MSL priorities. The candidate will demonstrate exceptional organizational proficiency, proven experience in managing complex projects, excellent written communication skills, and seamlessly transition between providing strategic counsel and managing daily execution tasks. This individual must be a collaborative team member, prepared to thrive in a dynamic, high-expectation professional environment. Entrepreneurial acumen, proven ability to manage complex and sensitive information with agility, and a commitment to exercising the highest level of discretion are desired. This role is designed for a highly strategic, execution-oriented operator who can support a fast-moving AI organization with focus, accountability, and scale. This full-time position is based at our office in Menlo Park, CA. Responsibilities: - Executive Support & Strategic Partnership: Serve as a trusted operational partner within the Office of MSL, acting as a force multiplier to drive operational excellence, strategic clarity, and organizational effectiveness. Work across teams to prepare the leader for internal and external meetings and engagements; this includes providing high-level topics to cover, attendee background, recommendations, rationale and risks for

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