Find AI Work That Works for You

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About the TeamThe fleet team runs the GPU fleet that serves the models backing ChatGPT and API while also supporting training workloads for our next generation models. We manage one of the largest cutting edge GPU fleets in the world, exposing it as a singular platform for other OpenAI teams to seamlessly run production Applied AI and training workloads.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleAs a Technical Program Manager for the GPU Fleet, your role is to help make our future compute plans become a reality by coordinating with engineers to manage the capacity footprint for OpenAI’s training and inference workloads while upleveling the demand-materialization lifecycle for all compute capacity. You will be responsible for managing & coordinating the overall body of work across many parallel programs/projects, ensuring cohesive communication and consistent alignment across all teams in platform, to all cross functional teams, and up to leadership.This role is based in San Francisco, CA. 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:Guide the roadmap for automation for a fleet that can grow an order of magnitude in size or more.Ensure that the capacity demand signal is operationally materialized within Fleet tooling and scheduling systems.Build net-new systems that allow Fleet to better manage supply v. demand compute lifecycles across training and inference workstreams.Uplevel our autoscaling and global scheduling infrastructure by improving its reliability, ergonomics, and expanding capabilities.Work with Fleet Turnup engineers on executing on tight timelines and iteratively improving the process, tooling, and automation.Work with external partners to unlock bleeding edge compute and make it available as a turnkey resource for scheduling workloads.Collaborate closely with a broad set of stakeholders, including product engineering, inference, security, research and financeYou might thrive in this role if you:Possess a degree in a hard science, or have a demonstrated track record of engineering expertise.Have 5+ years of experience in program management for major projects including capital projects or hyperscaler infrastructure deploymentDemonstrated ability to serve as the go-to person solely responsible for driving and delivering complex projects.Comfortable in managing cross-functional and cross-company teams; experience driving information and decision hygieneHave an extensive track record of successfully delivering high-profile, technical projects against tight deadlines.Are technically adept and have effectively partnered with engineering or fundamental research teams of the highest caliber.Interfacing and leading external vendors including: engineering firms, equipment suppliers, and/or construction firmsExpertise in designing and implementing simple, scalable processes that solve complex problems.Experience managing complicated dependencies such as logistics and or supply chainsAre relentlessly resourceful and thrive in ambiguous, fast-paced environments.Are interested in and thoughtful about the impacts of AGI.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 TeamOpenAI’s User Operations organization is building the data and intelligence layer behind AI-assisted operations — the systems that decide when automation should help users, when humans should step in, and how both improve over time. Our flagship platform is transforming customer support into a model for “agent-first” operations across OpenAI.About the RoleAs a Data Scientist on User Operations, you’ll design the models, metrics, and experimentation frameworks that power OpenAI’s human-AI collaboration loop. You’ll build systems that measure quality, optimize automation, and turn operational data into insights that improve product and user experience at scale. You’ll partner closely with Support Automation Engineering, Product, and Data Engineering to ensure our data systems are production-grade, trusted, and impactful.This role is based in San Francisco or New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.Why it mattersEvery conversation users have with OpenAI products produces signals about how humans and AI interact. User Ops Data Science turns those signals into insights that shape how we support users today and design agentic systems for tomorrow. This is a unique opportunity to help define how AI collaboration at scale is measured and improved inside OpenAI.In this role, you will:Build and own metrics, classifiers, and data pipelines that determine automation eligibility, effectiveness, and guardrails.Design and evaluate experiments that quantify the impact of automation and AI systems on user outcomes like resolution quality and satisfaction.Develop predictive and statistical models that improve how OpenAI’s support systems automate, measure, and learn from user interactions.Partner with engineering and product teams to create feedback loops that continuously improve our AI agents and knowledge systems.Translate complex data into clear, actionable insights for leadership and cross-functional stakeholders.Develop and socialize dashboards, applications, and other ways of enabling the team and company to answer product data questions in a self-serve wayContribute to establishing data science standards and best practices in an AI-native operations environment.Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organizationYou might thrive in this role if you have:10+ years of experience in data science roles within product or technology organizations.Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.Expert-level SQL and proficiency in Python for analytics, modeling, and experimentation.Proven experience designing and interpreting experiments and making statistically sound recommendations.Experience building data systems or pipelines that power production workflows or ML-based decisioning.Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker.Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.Ability to build relationships with diverse stakeholders and cultivate strong partnerships.Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.Ability to operate effectively in a fast-moving, ambiguous environment with limited structure.Strong communication skills and the ability to translate complex data into stories for non-technical partners.Nice-to-haves:Familiarity with large language models or AI-assisted operations platforms.Experience in operational automation or customer support analytics.Background in experimentation infrastructure or human-AI interaction systems.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.  *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.What You’ll DoDesign, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms.Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems.Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for.YouHave a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.).Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations.Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.)Have solid programming skills: Python, Go, etc.Have an urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions.Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it.Have an urge for delivering quickly and effectively, and iterating fast.Nice to HaveExperience and interest in ML/AI workloads and computePractical experience implementing and managing paging, alerting, and on-call scheduling flowsA positive attitude, combined with a desire to learn and collaborateSalary 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.  *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 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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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 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 Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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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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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

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About the TeamAt OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.The Global Safety Response Operations team within the org provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalations management and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with our policies while enabling timely, empathetic, and consistent user support.About the RoleWe’re looking for experience Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You’ll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You’ll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends.This is a 24/7 global operation that requires flexibility to work rotating shifts, including nights, weekends, and holidays, as part of an on-call coverage model.We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.In This Role, You Will:Handle and resolve high-priority cases across all harm and risk areas, ensuring timely and appropriate resolution in line with policy and legal requirements.Operate across multiple systems and tools to manage user reports and tickets, internal escalations, and other high priority investigations.Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.Identify and implement process improvements and automation opportunities to increase efficiency, accuracy, and coverage.Conduct quality reviews and provide feedback to improve consistency across global teams.Analyze trends and generate insights from escalation and case data to inform policy, product, model behavior, or detection improvements.Maintain exceptional accuracy, judgment, and composure under pressure when handling sensitive or time-critical situations.Participate in 24/7 on-call rotation, including off-hours and weekend coverage as needed.You Might Thrive in This Role If You:Have 5+ years of experience in trust & safety, content moderation, investigations, fraud, or developer risk operations.Have experience working in incident response, law enforcement response, or escalations management.Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.Thrive in ambiguous, high-autonomy environments and balance speed with diligence.Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.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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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 Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.About the RoleAs a Technical Program Manager (TPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.This role is based in our San Francisco HQ and will report to the Head of Human Data Operations. We offer relocation support to new employees.In this role, you will:Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interimOptimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access managementScale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.You’ll thrive in this role if you:Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insightsProficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflowsProficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-makingA strong understanding of how LLMs work and of prompt engineeringAre excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launchEnjoy being part of an ambitious and technically-minded team Have experience working at large scale across a portfolio of projectsWant to get your hands dirty; grit and creative problem solving will be required dailyHave an action-oriented and deeply curious mindLearn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to youOperate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationThrive in dynamic environments and can navigate ambiguity with easeAbout 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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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

false

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.