AI Creative & Design Jobs

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About the TeamOpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission.About the RoleThis position reports to OpenAI’s global Head of National Security Policy and will help to advance OpenAI’s engagement with Europe’s national security community and shape our approach to the dynamic European policy and military landscape. This is a senior IC role at the heart of EU/NATO policy engagement. You will be OpenAI’s primary policy representative on matters related to defense, security, and AI policy across Europe, positioning OpenAI as a trusted partner for national security stakeholders in NATO, the European Union, and national governments.Key responsibilities include:Building and sustaining strong relationships with key European decision-makers across NATO, the EU, and national ministries of defense, intelligence services, and cybersecurity agencies.Representing OpenAI in high-level discussions with European national security officials, lawmakers, and multilateral bodies.Leading engagements with European think tanks, research institutions, industry associations, and multilateral working groups focused on AI and security.Coordinating closely with the Europe regional team, and acting as a cross-functional connector across OpenAI’s global policy team to align between European efforts and broader national security strategy.Monitoring and influencing developments in European defense, intelligence, dual-use technologies, and export controls relevant to AI, including identifying relevant funding opportunities to support business growth.Drafting policy briefs, strategy memos, and responses to inquiries from European governments and institutions on national security and public safety implications of advanced AI systems.Collaborating closely with and advising internal OpenAI teams to identify opportunities to strengthen European resilience and advance beneficial uses of AI for democratic defense.The preferred location for this role is Brussels, with other major European capitals considered by exception, and will require regular travel throughout Europe and occasional trips to the United States. We offer relocation assistance to new employees.You should thrive in this role if you:Are politically astute, with a deep understanding of NATO and EU security architecture, and the defense and intelligence apparatus of major European democracies.Are an experienced relationship builder with an established network of senior government officials, multilateral institutions, and/or civil society stakeholders in a national security or technology policy context.Possess outstanding communication and diplomatic skills, with the ability to represent OpenAI externally and work effectively across cultures.We're looking for a blend of:10+ years of experience in European or transatlantic security, including within NATO, the EU, or national ministries of defense or intelligence. Candidates with prior industry and government relations experience will have an advantage.Demonstrated credibility with senior stakeholders across the European national security ecosystem.Multi-lingual candidates (English plus another European language) a significant plus.Familiarity with emerging technology issues, particularly dual-use AI capabilities, including CBRN and cybersecurity.Strong strategic instincts and the ability to deliver results in a fast-paced, evolving environment.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  So, what’s the role all about? The Account Executive is responsible for seeking and maintaining relationships with NiCE Customers, identifying new sales opportunities, and building market share in their regions. This position is required to increase revenue streams within Enterprise accounts. Candidates must reside in Delhi / NCR, India How will you make an impact? Responsible for achieving annual sales quota and personally negotiating Enterprise-wide agreements.  Coordinate and lead all sales activities to achieve business goals.  Ensure the proposed sales and solutions capitalize on NiCE CxOne's strengths and can be implemented successfully.  Establishing new strategic relationships while maintaining existing relationships and analyzing customer’s business situations to identify constraints and new opportunities due to technological advances.  Develop and maintain high-level relations with ‘C’levels.  Initiate, support, develop and monitor purchasing agreements between NiCE CxOne and the customer. Ability to manage large global accounts through virtual global team team which includes developing account strategy and execution. Have you got what it takes? 20+ years of experience selling multiple software products (portfolio sales) and services into sophisticated accounts in a hunter-type of role. 1+ years selling Conversational AI and or Digital Transformation solutions into enterprise accounts. Superior relationship and client management skills that effectively build trust and credibly manage/resolve customer escalations. Collaborative approach to sales that includes working with multiple groups both internally and externally. Exceptional communication and presentation skills that build confidence and credibility with C and VP-level executives. Inherent self-sufficiency, flexibility, and confidence with a preference for autonomy to take ownership and manage activities & processes to achieve revenue results. You will have an advantage if you also have: Experience/knowledge of CCaaS, CX, and Conversational Ai solutions. Experience/knowledge selling a full suite of SaaS products.  What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!  Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 9046 Reporting into: Sales Director  Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You’ll collaborate closely with world-class researchers and engineers, leveraging Lambda’s compute to optimize model and system performance.Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience.What You’ll Work OnFoundation Models, Multi-Modal, AgentsSystem benchmarking and performance optimizationTrack 1: Fundamental ResearchResearch in foundation models for language, vision, life sciences and robotics.Multi-modal research, including building efficient data and evaluation toolkits.Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools.Track 2: Applied ResearchMaximize training and inference performance for large-scale AI systems.Systematic model and agent evaluation.Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools.YouBS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning.Demonstrated project experience or publications in relevant areas.Proficient in PyTorch or similar frameworks.Strong communication and collaboration skills.Nice to HaveContributions to open-source machine learning projects.Experience with foundation models, multi-modal, agentic systems.Experience with dataset creation, evaluation design, or system benchmarking.Experience optimizing model efficiency or scaling ML workloads.Visit Lambda’s research page for more information about our work and opportunities: https://lambdalabs.com/researchSalary Range InformationThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the Role:We are seeking a Head of Data Operations to lead the teams and partners responsible for data generation, annotation, evaluation, and RLHF (reinforcement learning from human feedback) across HippocraticAI’s healthcare agent products.This leader will own the entire data operations lifecycle — from sourcing and labeling to model evaluation and feedback — ensuring precision, scalability, and alignment with our safety and ethics principles. You will manage internal teams, global contractors, and strategic vendors to deliver high-quality data pipelines that enable continual learning and improvement of our agentic systems.What You'll DoTeam & Vendor LeadershipBuild, lead, and scale a global data operations organization including full-time employees, contractors, and vendor partners.Define clear roles, quality standards, and performance metrics across all data functions (evaluation, labeling, RLHF, and generation).Partner with Legal, Compliance, and Security to ensure all global data work adheres to HIPAA and data privacy standards.Data Program ManagementOversee the design and execution of evaluation frameworks for LLMs and agentic behaviors — both automated and human-in-the-loop.Lead data labeling, synthesis, and annotation operations, ensuring medical accuracy, consistency, and context-rich quality.Manage large-scale RLHF pipelines — aligning training data with clinical and ethical objectives.Optimize throughput, cost, and quality across in-house teams and external vendors.Process, Tooling, and QualityPartner with engineering and product to design and improve data operations infrastructure, including labeling tools, quality assurance systems, and task routing platforms.Implement robust QA processes and auditing frameworks to ensure data integrity and reliability.Drive continuous improvement in efficiency, consistency, and evaluator experience.Cross-Functional CollaborationWork closely with Research, Model, and Product teams to define data needs and feedback loops.Collaborate with Clinical and Safety leaders to align annotation and evaluation standards with clinical guidelines.Provide strategic input into data strategy, metrics, and operational planning.What You BringMust Have:10+ years of experience in data operations, annotation, or model evaluation, with 5+ years in management or leadership roles.Proven success scaling data or RLHF operations across geographies and vendors.Strong program management and process optimization skills; experience managing distributed teams.Familiarity with LLM training and evaluation, RLHF, or human-in-the-loop systems.Deep respect for data ethics, privacy, and quality — ideally within healthcare, life sciences, or another regulated industry.Excellent communication and collaboration skills; able to navigate between technical, clinical, and operational stakeholders.Nice-to-Have:Experience in medical or healthcare data annotation or clinical workflow modeling.Prior work building custom data pipelines or labeling platforms.Understanding of LLM fine-tuning, preference modeling, and evaluation metrics.Global vendor management experience with large-scale workforce operations.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the RoleAs a Director of Engineering at Hippocratic AI, you’ll play a pivotal role in bringing cutting-edge AI research into production and launching transformative healthcare products powered by our generative, voice-based agents.You’ll work at the intersection of AI research, engineering, and product, leading the design and delivery of next-generation agentic capabilities that make our healthcare agents more intelligent, adaptive, and compliant with real-world clinical workflows.This is a strategic and hands-on role: you’ll architect scalable systems, define engineering best practices, and build and inspire a world-class team to deliver clinically safe, production-grade systems used by healthcare professionals and patients around the world.If you love translating frontier AI research into production, thrive in ambiguity, and are energized by building the connective tissue between teams to deliver ambitious outcomes quickly and safely, this role is for you.What You'll Do:Team Building & LeadershipRecruit, grow, and inspire a world-class AI engineering team focused on agentic AI for healthcare.Foster a culture of innovation, accountability, and technical excellence.Mentor and coach engineers and managers to achieve high performance and career growth.Product Development & DeliveryLead the design, implementation, and deployment of new agentic features that extend HippocraticAI’s healthcare agents (e.g., reasoning loops, contextual memory, adaptive dialogue systems, safety enforcement).Partner with Product, Clinical, and Research teams to translate conceptual designs into reliable, production-ready systems.Oversee integration of AI models, APIs, and healthcare systems (EHRs, clinical databases, etc.) in a compliant and secure manner.Technical Strategy & ExecutionDefine and communicate the technical roadmap for agentic AI systems in alignment with company goals.Establish scalable architectures, coding standards, and operational best practices.Collaborate cross-functionally to ensure delivery of safe, performant, and testable systems.Operational ExcellenceDrive sprint planning, technical reviews, and release processes.Ensure uptime, observability, and reliability of deployed systems.Manage budgets, staffing, and vendor relationships for engineering operations.What You BringMust Have:10+ years of software engineering experience, including 5+ years in engineering management.Proven track record of building and scaling technical teams from the ground up.Deep understanding of distributed systems, cloud infrastructure, and modern ML/AI pipelines.Experience developing AI-driven or conversational products, ideally in regulated domains such as healthcare or finance.Strong architectural instincts and hands-on technical ability when needed.Exceptional communication and cross-functional leadership skills.Passion for healthcare innovation and responsible AI development.Nice-to-HaveExperience with agentic AI systems, LLM orchestration frameworks, or safety-aligned AI.Familiarity with healthcare interoperability standards (FHIR, HL7).Background in compliance (HIPAA, SOC 2, FDA SaMD).If you’re excited about turning AI breakthroughs into real-world products that improve patient care and safety, this is your chance to lead at the frontier.Join HippocraticAI and help bring clinically safe generative AI to healthcare — at scale.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Physics, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically:Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's, Master’s or PhD Degree in Physics and/or in relevant area. You have at least 1 year of professional experience with focus in one of the following fields: Astrophysics, Condensed Matter Physics, Electromagnetism and Photonics, High-energy particle physics, Optics and Acoustics, General Physics, Quantum Mechanics, Relativistic Mechanics, Statistical Mechanics. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $34/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Physics, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically:Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's, Master’s or PhD Degree in Physics and/or in relevant area. You have at least 1 year of professional experience with focus in one of the following fields: Astrophysics, Condensed Matter Physics, Electromagnetism and Photonics, High-energy particle physics, Optics and Acoustics, General Physics, Quantum Mechanics, Relativistic Mechanics, Statistical Mechanics. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $42/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About IdeogramIdeogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.The OpportunityAs a Machine Learning Research Intern (Summer 2026), you’ll join the small team that built Ideogram’s foundation models. You’ll push the frontier of visual generative models and ship ideas that reach millions of creators. You’ll work alongside researchers who trained our world-class text-to-image model and pushed the state of the art in image captioning, diffusion conditioning beyond text, and layout and typography.What We’re Looking ForCurrently pursuing a PhD or Master’s in Computer Science, Machine Learning, Computer Vision, Graphics, Natural Language Processing, or a related field (exceptional undergraduates considered).Deep learning fundamentals in generative models; familiarity with Transformers and diffusion models.Ability to read research papers, translate ideas into high-quality code, and communicate results clearly to peers.Strong Python skills and proficiency in a major DL framework (JAX preferred; PyTorch experience welcome with willingness to learn JAX).Interest in the creative industry and image generation for design and passion for making research land in a real product.Prior publications, impactful open-source contributions, or strong project write-ups demonstrating research experience.Our CultureWe’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.What We Offer💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 📍 Toronto HQ perks: Steps from Union Station and the PATH, with team lunches every Tuesday and dinners every Thursday. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.   Key Responsibilities: Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.  Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration. Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps.  Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization. Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance. Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.   Qualifications: Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments. Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.  Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential. Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization. Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process. Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions. A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.   Preferred Qualifications: Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation. A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.   Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you! -- Compensation Range: $130,000 - $220,000 The posted salary range is based on our research for companies of our stage and size while in compliance with California law. This is a base salary compensation range and we encourage those who are interested to apply and have an initial discussion.

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About Distyl AIDistyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What You'll DoAs an AI Platform Engineer, you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.Key ResponsibilitiesBuild & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.Who We’re Looking ForWe are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience).Proficiency in Backend & Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems.Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code.Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus.What We OfferThe opportunity to build enterprise-scale AI infrastructure used by Fortune 500 companies.Work alongside top engineers, AI researchers, and enterprise experts in an AI-native company.Competitive salary, benefits, and equity in a fast-growing startup.Hybrid work environment – 3 days a week in our NYC office.If you’re a strong software engineer with a passion for building AI infrastructure, we’d love to hear from you. Apply now and help shape the future of AI-powered enterprise systems!

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About the TeamThe User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a dynamic support strategy operator to drive strategic and operational initiatives across OpenAI’s customer support/user operations landscape. In this role, you will work closely with leaders in User Operations and across the company to help scale, mature, and optimize our support operations. Your work will span a range of strategic initiatives aimed at enhancing the customer experience and driving operational excellence, ensuring that our support organization can sustainably scale with the business's growth.You’ll be responsible for deeply understanding our organization and priorities – where we’re at, where we’re going – and will work relentlessly towards planning and executing on our vision to provide best-in-class support. This role is not “creating and executing playbooks”. AI has and will continue to fundamentally change the customer experience and the way we build tools and organizations; this role requires a proactive, strategic planner and executor that can think ten steps ahead, defining the future of customer support at OpenAI and in the world.In this role, you will:Work within User Operations and across OpenAI to leverage AI/LLMs across the organization. While this role goes beyond just leveraging technology, it will be at the root of this role (as it is the root of our company)Collaborate with leaders to identify, evaluate, and prioritize new strategic and operational initiatives, ensuring alignment with company goals and unique organizational objectivesThrives in chaos, and relentlessly drives program structure conducive to progress and execution.Work with product, engineering, and data teams to uncover and address key operational challenges and growth/scaling opportunities within the support organization, such as automation, process optimization, and enhanced self-service options.Deep dive into the critical drivers of our support operations and identifying opportunities for optimization and innovation.Partner with other members of the go-to-market organization, product, and partnerships to launch new initiatives – helping think through strategic impacts, executing on operational components, and driving change management.You might thrive in this role if you:Have 8+ years of experience in business operations, strategy, venture capital, private equity, consulting. You have a history of high impact work in a technical environment.Are non-traditional – this role will require leveraging technology and concepts that are not yet established in the world (some of which you will produce yourself). “Traditional” operations may not fully apply hereAre comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors.Have extensive experience in taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans.Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions.Are highly analytical, with strong skills in data modeling and operational forecasting to drive insights and decision-making.Possess excellent communication and collaboration skills and are skilled in influencing stakeholders across all levels of the organization.Have a passion for technology, AI, and customer service, and are enthusiastic about the transformative impact of AI on business and society.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe User OperationsSupport team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s already breakneck shipping cadence – and the expectation that it will only accelerate – our ability to architect scalable systems for support readiness, user‑feedback, and broader program delivery is central to our ability to build world-class products and to maintain exceptional support quality.About the RoleWe are seeking a systems‑minded builder who will design, prototype, implement, and iterate on the tooling, data flows, and processes that allows the User Operations team to redefine a modern support organization. Think: automated launch checklists, content and knowledge pipelines, incident detection and evaluators, and other processes that power a User Operations team operating at an unprecedented scale. You’d be building resilient systems, not better slide decks.We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment.This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role you will:Build “Day-1 enabled” workflows; role-tailored playbooks, content auto-diffs from source docs, and other workflows that have been taken for granted in typical Support organizations.Continuously automate repetitive touchpoints with scripts, agents, and LLM-powered flows; implement governance, observability, evaluation gates, and safe rollback.Codify detection (windowing, dedupe, thresholds), on-call handoffs, and post-incident learning loops that protect customer experience and SLAs.Prototype and learn quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.Stand up data pipelines that capture sentiment, ticket trends, and BPO insights, routing actionable signals back to Product within hours—not weeks.Identify risks and challenges during tooling rollouts, proposing solutions that safeguard customer experience and service levels.Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM-powered flows.You might thrive in this role if you:Have 8+ years of experience in building tools for internal teams, especially within a customer support environment.Have shipped or maintained tools and automations (dashboards, ETL pipelines, low-code apps) that eliminated manual work and scaled beyond a single team.Treat ChatGPT & LLMs as default co-developers, rapidly turning natural-language ideas into working code or queries.Deeply enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams.Are passionate about customer advocacy and have experience translating customer feedback into strategic product insights.Possess a strong bias for automation and a distaste for doing low-complexity to otherwise repetitive work consistently.Thrive in a fast-moving, ambiguous environment where priorities will shift quickly and iterating on your systems will be required.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  Lambda, Inc. is seeking a highly skilled and experienced Director of Data Center Operations to lead and support Lambda Data Center Operations in North America. What You'll Do:As Director of Data Center Operations for North America you lead and support large-scale AI and high-performance computing (HPC) infrastructure in all of Lambda’s North America data centers. This individual will lead and oversee all aspects of data center operations — including reliability, hardware break/fix, capacity planning, provider interface, team mentorship, and new data center setup —ensuring world-class uptime, customer response, and scalability to meet rapidly growing AI infrastructure demands. Key Responsibilities:Strategic LeadershipDevelop and execute the North American data center operations strategy aligned with AI infrastructure goals and organizational growth.Drive continuous improvement across facility operations, emphasizing sustainability, efficiency, and resilience.Partner with Engineering, Capacity Planning, and Infrastructure teams to forecast and support future AI and GPU-based compute requirements. As well as provide operational feedback on designs and system improvements.Oversee expansion projects, retrofits, and site selection in collaboration with Data Center Infrastructure Engineering and HPC Architecture teams.Operational ExcellenceLead a multi-site operations team ensuring 24/7/365 reliability, availability, and SLA response across all facilities.Establish standardized procedures, metrics, and best practices for preventive maintenance, incident management, and service delivery.Monitor operational KPIs including uptime, PUE, safety, and compliance with corporate and regulatory standards.Implement automation and AI-driven monitoring solutions to optimize system performance and predictive maintenance. Coordinate and communicate data center provider maintenances with customers and impacted teams.Team Leadership and DevelopmentBuild, mentor, and scale a high-performing team of operations managers, technicians, and engineers across multiple regions.Routinely visit all sites to maintain standards, develop relationships, and identify areas of efficiency. Foster a culture of safety, accountability, and continuous learning driving data center operations to take on more responsibility and work up the stack.Assist in the build out of new data center whitespace and deployment of AI Infrastructure.Financial and Vendor ManagementDevelop and manage operating budgets, capital expenditures, and cost-optimization initiatives.Oversee strategic vendor partnerships with numerous data center providers for power, cooling, maintenance, and critical infrastructure components.Risk and ComplianceEnsure compliance with environmental, safety, and industry regulations (e.g., NFPA, OSHA, ISO standards).Lead incident response and root cause analysis to drive preventive improvements for incidents related to data center operations or infrastructure.Act as primary point of contact for audits related to data center operations for compliance such as SOCII, ISO, etc. Qualifications:10+ years of experience in data center operations, with at least 7 years in a leadership role managing multi-site or hyperscale facilities.Proven experience supporting AI, HPC, or cloud infrastructure at scale.Deep understanding of power and cooling systems, networking, capacity planning, and facility automation tools (DCIM, BMS, etc.).Strong track record of improving operational efficiency and managing relationships with data center providers.Preferred Bachelor’s degree in Engineering, Computer Science, or related field; Master’s bonus.Exceptional communication, cross-functional collaboration, and stakeholder management skills. Ability to build relationships and consensus and positive team culture.Willingness to travel (up to 50%) to data center sites across North America and data center sites under construction.Preferred Skills:Experience with GPU clusters, AI infrastructure networking, and large-scale storage systems.Familiarity with cloud-scale operational practices (e.g., AWS, Google, Microsoft data center standards).Certifications such as CDCDP, CDCP, PMP, or PE are a plus.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  As the AI Infrastructure Deployment Lead, you’ll be responsible for planning, coordinating, and executing the deployment of large-scale AI infrastructure across Lambda’s data centers and customer sites. You’ll lead cross-functional technical teams to design resilient network topologies, oversee rack-level integration, and ensure smooth delivery of compute environments optimized for large-scale training workloads.This role combines hands-on technical expertise with strategic project leadership — ideal for engineers who thrive at the intersection of hardware, networking, and systems design.What You’ll DoInfrastructure DeploymentLead end-to-end deployment of GPU clusters, storage systems, and networking fabric across Lambda’s data centers.Design and implement data center network topologies optimized for AI and HPC workloads, including high-speed Ethernet and InfiniBand environments.Oversee rack implementation, cabling, and power/cooling validation for optimal efficiency and scalability.Collaborate with supply chain, logistics, and operations teams to ensure smooth delivery and installation timelines.Network EngineeringImplement Layer 2/Layer 3 networks, including VLANs, Spine to Leaf architecture, Infiniband interconnect technology. Partner with network architects to ensure redundancy, scalability, and low-latency interconnects for distributed AI workloads.Monitor network health, identify bottlenecks, and implement optimizations to maintain peak performance.Hardware & Systems ManagementOversee server hardware troubleshooting, including GPUs, NICs, CPUs, and storage components.Lead root-cause analysis for system issues and drive corrective actions in collaboration with vendors and internal hardware teams.Develop standard operating procedures (SOPs) for hardware validation, deployment, and maintenance.Technical Project LeadershipServe as technical project lead for infrastructure rollouts and cluster expansion projects.Coordinate cross-functional teams — networking, facilities, cloud operations, and hardware engineering — to execute deployments on schedule.Manage project scope, budgets, risk assessments, and post-deployment reviews.Communicate status, challenges, and milestones to leadership with clarity and precision.Documentation & Continuous ImprovementMaintain detailed network topology diagrams, deployment runbooks, and hardware inventories.Identify opportunities for process automation and infrastructure standardization across deployments.Contribute to Lambda’s internal knowledge base and mentor junior engineers on data center best practices.What You’ll BringRequired:Bachelor’s degree in Computer Engineering, Information Technology, or related field.CCNA (Cisco Certified Network Associate) certification (CCNP or equivalent a plus).PMP (project Management Professional) Certification (PMP or equivalent a plus).5+ years of experience in data center infrastructure deployment or network operations, preferably in AI, HPC, or cloud environments.Proven ability to lead complex technical projects and manage multidisciplinary teams.Strong understanding of data center network design (Layer 2/3, VLAN, Rack elevations, port mapping, Infiniband technologies. Hands-on expertise in server hardware troubleshooting and rack-level integration.Preferred:Experience deploying or managing GPU clusters and distributed training environments.Familiarity with automation and orchestration tools (Ansible, Terraform) and monitoring systems (Prometheus, Grafana).Knowledge of structured cabling, power distribution, and environmental monitoring in data centers.Excellent communication and documentation skills.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us.As an Engineering Manager for Integrations, you will lead and scale a team of full stack engineers to create integrations with strategic partners and 3rd party vendors. You will help architect systems to bring legal context into Harvey and also work with our Partnerships org and internal teams to prioritize which ones to build. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellenceWe move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.What You’ll DoLead full stack engineering team(s) building user-facing features across our web product.Collaborate closely with Product and Partnerships teams to identify and execute on high-impact integrationsWork closely with engineers to build, platformize and scale integrations, working across the stack and with adjacent teamsExpand the breadth and depth of integrations into the Harvey platformContribute to code and architecture reviews, unblock teams, and lead by example when neededHire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environmentWhat You Have2+ years of experience in a software engineering management role leading full stack product engineering teams, preferably in high-growth environments.5+ years of experience as a full stack or backend product engineer.A track record of leading high-performing, engaged engineering teams.Experience working with Integrations and partnering with cross functional and Partnerships teamsExperience with modern frontend frameworks (e.g. React) and backend systems (e.g. Python, Node, Go)A plus: Exposure to syncing infrastructures and durable job execution frameworksCompensation Range$274,000 - $360,000 USDPlease find our CA applicant privacy notice here.#LI-AN2Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe’re looking for a leader who will build our Frontend Platform team from the ground up, playing both the hands-on tech architect and people-leader. You’ll define the vision for shared front-end infrastructure (components, tooling, performance, developer experience) and lead a centralized team of front-end engineers that’s building out those foundational component whilst supporting product teams.What You’ll DoDefine and own the roadmap for the front-end platform: component library, design system, shared utilities, tooling, and build/deploy pipelines.Build, hire, and lead a small but growing team of front-end engineers: mentor, set culture, performance-manage and enable team growth.Serve as a hands-on technical lead: architect, design, implement key platform features, and review/shape team outputs.Partner with product engineering, design/UX, backend and infrastructure teams to ensure the platform delivers high-quality, consistent, performant front-end experiences.Establish metrics, best practices, and frameworks for front-end development across the org: developer productivity, component reuse, performance, maintainability, and reliability.What You HaveStrong front-end engineering experience, including building or leading shared front-end systems, libraries or platform infrastructure.Experience as a technical lead or manager with hands-on delivery + team leadership.Strong technical skills with modern front-end stacks (e.g., React + TypeScript, component architecture, state management, performance optimisations).Demonstrated experience building or evolving a design system / component library used across multiple teams.Excellent collaboration, communication and influencing skills — you can build consensus, partner across functions, and drive engineering strategy.Nice-to-HaveExperience with front-end performance instrumentation, feature-flagging at scale, micro-front-ends or multi-tenant front-end architectures.Managed or built a shared engineering pool or center of excellence model for front-end engineers.Experience in a fast-growing SaaS environment where you scaled teams, infrastructure or processes.Familiarity with enterprise/regulated environments, security or compliance in front-end contexts.Open-source contributions or public talks/blogs in the front-end architecture or platform space.Compensation Range$274,000 - $360,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai