AI Creative & Design Jobs

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. The Opportunity Reporting into Engineering, we are currently seeking a talented Full-Stack Software Engineer with a strong foundation in front-end development and 4+ years of professional experience building thoughtful, well-designed products or internal tools. While you'll bring a front-end perspective to the team, you should also be comfortable working across the stack, including backend services and infrastructure, as we shape the future of ML tooling with a focus on usability, performance, and developer experience.In this role, you will:Leverage your experience in backend and frontend related technologies to create high-quality, scalable, and maintainable code and APIs.Employ your understanding of developer tools to influence the development of user-centric features that address the needs and pain points of data scientists and engineers.Contribute to architectural decisions and participate in code and design reviews across various teams, ensuring the highest standards of quality and performance.Demonstrate excellent verbal and written communication skills and bias towards making an impact and picking up work that needs to get done.Work as part of a team and feel most excited when given large and ambiguous problems to solve independently.You have experience with React, building modern, interactive web applications, with attention to usability and accessibility.You are proficient in TypeScript or JavaScript and comfortable building client side logic at scale.You have experience building modern web applications, with attention to performance and scalability.You are familiar with front-end build tools such as Webpack or Vite.You bring a front-end perspective to product development and enjoy crafting intuitive, responsive user interfaces.You have experience with AWS (required) and are familiar with other cloud platforms (preferred).You have experience with NodeJS (and optionally protobufjs) for server-side development and API integration.You have a strong foundation in data structures and algorithms, with a focus on profiling and performance optimization.You will be expected to be in-office.About You:4+ years of professional experience building software as a generalist with a strong focus on frontend development alongside backend and infrastructure workPrior experience with React and its core principles including component architecture, state management, and hooks.Experience with TypeScript or Javascript with attention to code quality, readability, and maintainability.Experience with Python, Go, Java or another backend technologies and comfortable working across the full stack.Knowledge of ML concepts and frameworks (eg. TensorFlow, Pytorch, Spark) is highly desired.Experience with AWS and/or NodeJSFamiliarity with frontend build tools like Webpack and Vite, and understand how to optimize for performance bundle size and developer experience.Strong foundation in data structures, and algorithms with a focus on performance tuning and optimization in both frontend and backend systems.A clear communicator who thrives in ambiguous environments, often stepping up to drive clarity, alignment and solutions when faced with open-ended challenges.Bachelor’s degree in computer science or related field.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About The Role:We recently launched Replit Agent in early access, the first widely accessible coding AI agent that builds and deploys apps based on your ideas. In this new era of personal software, the Replit mobile app enables you to create, prototype, brainstorm personal tools on the go.In this role, you will shape our Agent experience on mobile, build innovative new features and interactions, and enable anyone with a phone to create software for their phones and assist with our mobile UI/UX. Our mobile app is built with Typescript, React, React Native, Expo, and Apollo/GraphQL.Who You Are:We're looking for mobile-focused developers who can thrive in a React Native environment and are also passionate about mobile UI/UX. You fit this role if you match one of these profiles: 1. The React Native ExpertYou're an experienced React Native developer with a proven track record of shipping mobile apps, with a keen eye for mobile UI/UX.2. The Mobile Web SpecialistYou have deep experience with mobile web development and understand the unique challenges of mobile interfaces, performance optimization, and responsive design. You're passionate about UX/UI and ready to transition your mobile expertise to React Native development.3. The Native Developer Exploring Cross-PlatformYou're a skilled mobile native developer (iOS/Android) who's interested in exploring React Native as a cross-platform solution. You bring valuable native platform knowledge and are open to learning TypeScript-based development.What You Will Do:Collaborate closely with a team of designers, mobile and UX engineers to streamline the mobile app towards AI-first creation.Introduce new features that make creation on mobile easier and faster.Improve the quality and observability of the app.Proactively identify what our software creators need to make building on mobile delightful.Required Experience:You can demonstrate 5+ years of professional software development experience, including:Experience optimizing UI rendering performanceExperience debugging and deploying iOS or Android appsYou are comfortable or excited to build with React/CSS and React Native.You are familiar with UI/UX patterns on iOS or AndroidBonus Points:You’ve built and shipped your own apps to the worldFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program ⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonoumous Work Environement 🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at Replit Operating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is looking for a talented Designated Technical Support Engineer to join our rapidly expanding, venture-backed startup.  We are building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. Our team works hard and plays hard. We are professional, creative, passionate, and most importantly - customer-obsessed. As a trusted technical resource to the customer, you will provide both proactive and reactive support to our growing customer base. By providing the highest level of service to our customers, you will ensure our customer experience is the best in the industry. You will: Please note that this role will be dedicated to select customers and requires additional background screenings/clearances/training/certification, carry & use of customer-provided equipment, and extended on-call shift timing based on customer contractual obligations. Own the proactive and reactive support for Glean customers by prioritizing issues for your designated customer(s) Meet with your assigned customers regularly to review issues and develop resolution plans and drive continuous improvement in how you and your Glean teammates provide support to them Be available to your assigned customers via collaborative communication channels consistently to ensure you are providing timely responses and updates on issues Create and maintain customer-specific runbooks and knowledge articles Provide first response, technical troubleshooting, resolution, and follow-through of customer issues and inquiries Assist customers in the configuration, set-up, and verification of new content sources and product features to enable them to realize additional value for their users Educate customers on the use of Glean product features Identify system and user health issues, then create and execute remediation plans while coordinating and updating the customer accordingly Handle customer-impacting alerts which require coordination with customer admin and system resources through resolution Work closely with teams across Glean to drive product, process, and service improvements Drive key improvement projects that will improve the scale and efficiency of support, while providing upgrades to the customers’ support experience Coordinate all support activities with your assigned customer(s), which may include more stringent access and security processes, ensuring you move with high urgency for their issues. Represent the unique needs of your assigned customer(s) with respect to product and security improvements that will improve the customer support experience About you: Technically curious: you have a never-ending desire to add technical knowledge and skills to your personal toolkit and share those learnings with your peers Fearless: you have an intense need to tackle the toughest customer issues and technically complex issues with the goal of driving customer satisfaction Strong communicator: you are a professional presenter with superior interaction skills with both customers and internal teams Detail-oriented: you are highly organized and methodical, ensuring all issues are managed to completion Data-driven: you utilize metrics and objective measurements to assess success and improvement opportunities for yourself and for the customer experience Key knowledge and skills required Must-haves Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files Experience in at least one of the following disciplines: Customer Solutions Engineering, Support Engineering, Professional Services Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations Experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure Must have experience in troubleshooting REST API issues Working experience on SSO, SAML, and OAuth along with network troubleshooting Able to fully document issues you manage and contribute to the support knowledge base Candidates must be able to support weekend client-facing maintenance activities as a core part of the role. Good-to-haves Knowledge of SQL/database, Basic Kubernetes, Intermediate/Advanced Linux Experience in using Github, Jira & Confluence Basic knowledge of LLM’s and how GPT works   Location: Bangalore This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.   #LI-HYBRID

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for an Implementation Engineer to join our team and help support our digital diagnostics customers, including our commercially deployed AI product portfolio and Digital Pathology Image Management System, AISight.  Although experience is important, we weigh a heavy emphasis on cultural fit within the organization, a hunger to learn both our business and customers, and a drive to move us forward in this rapidly evolving industry. We are looking for someone that is well versed in SaaS Implementations, Lab/IT Connectivity Integrations and is well organized, has a sense of drive and an aptitude for learning quickly in a complex space. What You’ll Do Build and maintain strong relationships with our DDx customers (Anatomic Pathology labs, Academic Medical Centers, Hospital Systems)  acting as their primary point of contact during the technical implementation phase of the project Provide hands-on technical implementation support, working with customer IT and internal development teams as needed Provide project management of all implementation tasks, providing schedule updates, resolving risks and issues, and communicating with the customer on a regular basis Language Requirements, Fluent- Spoken and Written : English (Required) Portuguese (BR) (Preferred) On-Call Support: Support external clients as an application expert/escalation point for our support team. (Including an on-call rotation) What You Bring 3+ years of experience in a client-facing, SaaS implementation roles Strong analytical skills and operating rigor Experience handling difficult customers or situations and can demonstrate resolutions A strong understanding of our business and products, and an ability to research/self-start in areas that require learning Familiarity with HL7 interface implementation and hands-on experience with market-leading laboratory information systems (Epic Beaker, Novopath, Cerner Millenium etc) is preferred  Travel (<20%)   Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.     

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This role is hybrid and based out of our Berlin office The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. Role Overview We are looking for a Marketing Research Analyst to join our Customer and Business Engineering (CBE) team to focus on providing in-depth analysis and insights to our Marketing team. The CBE team is composed of data analysts, scientists and engineers focused on unifying operational data assets in our Enterprise Data Platform alongside our product data, as well as generating reporting, insights and intelligence from that data. In this role, you will leverage our Data Platform and AI Platform to conduct deep-dive analyses, to support the Marketing organization, turning product usage data and campaign performance into actionable insights that influence strategy, improve workflows, and enhance marketing content. A key focus will be on transforming raw data into actionable visualizations and insights that empower the Marketing team to deliver insight-driven content and improve workflows. What you'll do Conduct in-depth analysis of Conductor’s product data, providing relevant statistics and insights to enhance marketing content and campaign influence Design and develop automated reports and data visualizations to streamline marketing workflows and improve efficiency Collaborate with cross-functional teams, including Marketing, Engineering, Product Management and Customer Success, to understand data requirements, identify key performance indicators (KPIs), and define reporting needs Leverage Conductor’s Data Platform and AI Platform to perform statistical analysis and data storytelling. Partner with data engineers to scale systems and infrastructure that make analysis repeatable and beneficial to a wide range of use cases Provide ad hoc data analysis and reporting to address urgent marketing requests and business needs Evaluate and implement new data science techniques, tools, and technologies to improve the depth and quality of data insights Stay up to date on trends in Search, Answer Engine Optimization (AEO), and Website Optimization to inform data analysis, campaign strategy, and thought leadership content. Who you are 3+ years of experience in a data science role, preferably with a focus on product or marketing analytics Strong Proficiency with SQL and Database technologies Proficiency with one or more BI Tools such as Tableau, Google Data Studio, Domo, Looker, etc. Experience with data visualization best practices Curious and self-driven: you actively follow trends in SEO, AEO, and digital marketing and enjoy translating technical topics into actionable insights. Strong commitment to Data Quality and Quality Assurance Strong problem-solving skills and attention to detail Good communication skills to collaborate effectively within cross-functional teams, including Marketing, Engineering, Product, and Customer Success Ability to adapt to evolving technologies and learn new tools quickly You are fluent in spoken and written English You have a Bachelor’s degree, preferably in Computer Science, Mathematics, Economics or a related field -------------------------------------------------------------------------------------------------------------------- Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs.  Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance.  In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Engineering Lead (Founding Engineer) Location: Remote – Anywhere in LATAM Compensation: $80K–USD 120K (DOE)About the RoleWe’re a fast-growing, AI-driven travel startup seeking an experienced Engineering Lead to join as a Founding Engineer. This is a high-impact role for someone with strong technical expertise, proven startup experience, and a passion for building innovative products using the latest in AI and automation.You’ll be instrumental in shaping our product and engineering culture, while working closely with cross-functional, global teams.ResponsibilitiesLead the design and development of core products using Node.js, React, and TypeScript.Work hands-on with code while providing engineering oversight, during US working hours.Collaborate closely with founders to ensure seamless alignment between engineering and business needs.Manage code quality through reviews, mentoring, and clear technical direction.Coordinate and communicate with distributed teams across the US, Sri Lanka, the Philippines, and Latin America.Help recruit and build a full-time, high-performing engineering team.Contribute to the product roadmap and drive innovation in AI-powered travel experiences.RequirementsProven experience as a founding engineer or engineering lead in a fast-paced startup environment.Strong technical expertise in Node.js, React, and TypeScript, with a focus on scalable and maintainable architecture.Hands-on experience building and shipping products at a consumer-facing startup, ideally with high design and UX standards.Demonstrated ability to lead and collaborate with distributed teams across multiple time zones.Strong communication and leadership skills, with the ability to align engineering with business goals.Deep curiosity and practical knowledge of modern AI tools, agentic workflows, and AI-assisted development platforms (e.g., GitHub Copilot, Cursor).Availability to work primarily during US business hours.Willingness to travel to the US once a month for in-person collaboration.Fully committed to the role—no part-time or side projects.A US visa is a plus.Nice to have QualificationsExperience recruiting, hiring, and managing engineering teams.Interest or background in consumer travel technology and reward/points optimization.#LI-NC1

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We're looking for an Product Engineer focussed on the Backend to help us scale our systems to unlock Granola for the next 100x users.In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features.In this role, you will:Own the evolution and scaling of our backend infrastructureDesign and implement performant APIs and servicesBuild infrastructure to support cutting-edge AI capabilitiesOptimise database performance and query efficiencyContinuously improve reliability and observability through enhanced monitoring and alertingCollaborate cross-functionally to ensure our infrastructure supports continuous product innovationYour background looks something like:Engineering experience in tech and product-driven environmentsStrong proficiency in TypeScript and Node.jsHands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform)Deep knowledge of relational databases (we use PostgreSQL)Familiarity with serverless architectures (we love lambdas!)Solid understanding of security best practices and performance optimisationAs a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in infrastructure for AI/ML (direct experience is a bonus, but not required)Thrive in a fast-paced environment with evolving requirements and shifting prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The AI Data team advances the performance of Large Language Models (LLMs) and Vision-Language Models (VLMs) through cutting-edge data-centric techniques. From synthetic data generation to model distillation and AI-driven preference alignment, we develop high-quality datasets that enhance model efficiency, reasoning, and adaptability. Our work directly impacts the training and fine-tuning of frontier AI systems, ensuring they learn from richer, more diverse, and better-structured data.Join us in shaping the future of AI through cutting-edge data optimization. We’re looking for driven individuals who thrive in fast-changing environments, adapt to new research paradigms, and eagerly take on challenges—whether deploying models, inspecting data, or pioneering new synthetic and reinforcement learning data methods.Key Responsibilities:Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models:Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigationApply model distillation techniques to optimize large-scale models for edge deployment, ensuring scalability without compromising performanceDesign and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domainsLead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviorsCollaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systemsStay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific explorationRequirements:Technical skills:Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluationsExperience developing and maintaining multimodal data pipelinesExperience in training and deploying LLMs, VLMs or Pytorch modelsResearch skills:MSc or PhD in machine learning, computer vision, natural language processing, or a related fieldDeep understanding of training and evaluation paradigms for multimodal modelsSoft skills:Strong communication skills with technical and non-technical staffEffectiveness in fast-changing environmentsNice to Have:Experience with agent-specific data pipelines and improvement techniques is a plusExperience managing efficient multi-modal human annotation platforms is a plusLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.Key Responsibilities:Develop and train advanced LLMs and VLMs, including multimodal architecturesResearch and implement training methods for enhanced capabilities like instruction following and tool useDesign and optimize data pipelines and training systems for large-scale distributed trainingCollaborate with cross-functional teams to integrate models into agentic AI systemsEvaluate model performance and communicate findings to stakeholdersStay current with advancements in LLMs, VLMs, and related fieldsRequirements:Technical skills:Strong programming skills (Python, Git)Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)Experience with large-scale distributed training of LLMs and VLMsHands-on experience with LLM training, alignment, and reinforcement learningKnowledge of multimodal architectures and applicationsResearch skills:Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)Soft skills:Excellent communication and presentation skillsStrong collaboration and teamwork skillsPassion for AI and problem-solvingBonuses:Industry experienceExperience in LLM training with RLExperience with data processing techniquesLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions.This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.Key Responsibilities:Define and lead the technical architecture, design, and long-term engineering roadmap for agent research platforms.Develop and maintain complex, high-performance, and scalable systems that serve as the foundation for our research.Mentor and guide other engineers and researchers on the team, fostering technical excellence and best practices.Conduct thorough code and design reviews, ensuring quality, security, and scalability.Collaborate closely with researchers to implement, test, and productionize new agent logics and learning algorithms.Drive improvements in system reliability, scalability, and observability for our research infrastructure.Establish and enforce engineering standards, tooling, and processes within the Agent team.Champion technical innovation and proactively address technical debt to accelerate research and development.Requirements:Technical Skills:Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer with a relevant set of responsibilities and achievements.Strong 5+ years of experience in Python development.Proven experience building, scaling, and shipping end-to-end solutions involving Machine Learning models (LLMs/VLMs).Proficient in at least one deep learning (PyTorch, JAX, TensorFlow) or agentic framework (LangChain, AutoGen, CrewAI, OpenAI SDK).Expertise in instrumentation, observability, and monitoring for complex systems.Solid understanding of coding standards, architectural patterns, and test frameworks.Bonus Skills:Experience with distributed systems or cloud computing, preferably in AWS.Experience in LLM training/fine-tuning.Experience with Reinforcement Learning (RL) frameworks or algorithms.Experience developing large-scale evaluation and benchmarking systems for AI models.Soft Skills:Enjoys collaboration and teamwork in a research-oriented environment.Impactful communication skills, with the ability to bridge the gap between research and engineering.Eager to explore and solve the new engineering challenges of agentic AI.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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OpenAI is seeking a senior-level Technical Program Manager to lead end-to-end operational readiness and process engineering for our most critical hardware programs. In this role, you will set the strategic direction for manufacturing readiness, aligning cross-functional teams, global suppliers, and operational partners to ensure flawless execution from prototype to sustained high-volume production. You will own the readiness roadmap, establish operational excellence standards, and drive accountability at every stage to meet aggressive product launch schedules and uncompromising quality benchmarks.In this role, you will:Architect and lead comprehensive readiness strategies that encompass process engineering, tooling, materials, and factory capability across global sites.Partner with senior engineering and operations leadership to develop, validate, and scale robust manufacturing processes that support performance, yield, and cost goals.Define and govern readiness gates, ensuring alignment across design, supply chain, manufacturing, and quality teams.Anticipate and proactively mitigate technical and operational risks before they impact program milestones.Represent operations at the executive level, delivering clear status, risk assessments, and data-driven recommendations.Direct on-site build readiness activities at key manufacturing sites to ensure smooth transitions from NPI to mass production. You might thrive in this role if you:Bring significant experience leading large-scale manufacturing readiness or process engineering programs for complex hardware.Operate effectively across executive, engineering, and factory levels, influencing without direct authority.Are adept at managing multi-site, multi-partner programs under highly compressed timelines.Balance strategic decision-making with the ability to dive deep into technical and operational details.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 Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the role Location: [Remote / Flexible] At Snorkel AI, we're redefining how enterprises build and deploy machine learning applications with programmatic data labeling and powerful LLM-adaptive data pipelines. Our Data-as-a-Service (DaaS) business partners with the world’s leading AI labs and technology companies to deliver the high-quality data that fuels their most ambitious GenAI efforts. We’re looking for a customer-focused Engagement Manager to join our DaaS Engagement Management team. In this role, you’ll be the primary point of contact for enterprise accounts—ensuring successful delivery of complex datasets, building trusted partnerships, and supporting customers from pilot to full production. You’ll work closely with the Head of Engagement Management and cross-functional teams to deliver value, shape customer outcomes, and identify opportunities for growth. This is a hands-on role that blends customer success, technical program management, and strategic account engagement. You will champion our customers’ success, navigate complex delivery challenges, and help scale our DaaS business. Responsibilities Serve as the primary partner for assigned DaaS customers, leading meetings, and managing expectations and relationships from project kick-off through ongoing production with various stakeholders (including data scientists, engineers, and business leaders). Manage delivery of complex datasets, meeting quality, scope, and SLA expectations. Guide customers from pilot to production, securing long-term commitments. Build trust with senior technical stakeholders, guiding them through delivery milestones and ensuring mutual success. Clearly communicate project progress, risks, and value delivered—adapting messaging for both technical and non-technical audiences. Collaborate with Sales to identify upsell and expansion opportunities. Identify and collaborate cross-functionally to resolve issues, improve processes, and scale success. Qualifications 5+ years in customer success, account management, or consulting in a technical services/AI/data context. Proven success of managing enterprise accounts and complex delivery programs against timelines, quality targets, and SLAs. Exceptional communication and interpersonal skills, with the ability to build rapport and manage relationships with diverse stakeholders. Able to clearly explain technical concepts to non-technical audiences. Technical aptitude with data pipelines, AI/ML workflows, or data annotation. Proven ability to navigate ambiguity, adapt to changing circumstances, and proactively solve problems.  Thrives in a fast-paced, high-growth environment. Willingness to travel up to 20% based on customer needs. Bachelor's degree in Computer Science, Information Technology, or a related field The salary range for this position based in the San Francisco Bay Area is $100,000-$170,000 All offers include equity compensation in the form of employee stock options.Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Role At Snorkel AI, we're redefining how enterprises build and deploy machine learning applications with programmatic data labeling and powerful LLM-adaptive data pipelines. Our Data-as-a-Service (DaaS) business serves the world’s leading AI labs and technology companies to deliver the high-quality data that fuels their most ambitious GenAI efforts. We’re looking for a dynamic and strategic leader to head our Engagement Management team—the customer success function responsible for driving long-term partnerships, delivering cutting-edge data solutions, and shaping the future of AI development alongside our customers. As the Head of Engagement Management for DaaS, you will own the end-to-end relationship with our enterprise customers, ensuring the delivery of high-quality data pipelines while developing trusted, strategic partnerships, and driving revenue growth. You’ll lead a team that interfaces directly with AI leaders at the frontier—navigating technical complexity, influencing product/technical strategy, and ensuring successful delivery from pilot through to long-term production. You will be a customer champion, technical advisor, and operator—building the foundation of a high-impact team that directly influences both customer outcomes and Snorkel’s growth trajectory. Responsibilities Lead the Strategic Engagement team, scaling a high-performing group that serves as the trusted primary partner for DaaS customers—from initial pilot through full-scale deployment—driving exceptional delivery outcomes, revenue growth, and long-term account expansion. Build the operating plan and long-term vision for the Engagement Management team, identifying key investments to scale customer success and drive revenue growth. Lead with a metrics-driven mindset, developing KPIs and success metrics to track performance, quality, and customer value of the Engagement Management team.  Oversee the on-time, high-quality delivery of complex datasets, translating technical complexity into clear business value, and guiding customers from pilot to production to secure long-term commitments, scale revenue, and improve margins. Accelerate revenue by strategically driving growth, upsell and cross-sell opportunities across our portfolio of customers and partnering with Sales and Marketing on high-impact expansion initiatives. Develop trusted, strategic relationships with senior technical stakeholders at AI labs  and tech giants—guiding their journey and ensuring mutual success. Champion customer and business needs, shaping priorities across teams while surfacing insights to continuously improve delivery, experience, and technical capabilities. Identify and manage delivery risks and blockers, escalating cross-functionally as needed to maintain project momentum. Collaborate across Snorkel’s teams —Delivery Ops, Engineering, Research, GTM, and Product—to align on customer priorities and execute effectively. Qualifications 8+ years of experience in customer success, technical account management, consulting, or engagement management—ideally in a data/ML, SaaS, or technical services context. Proven track record building and maintaining high-value customer relationships at the executive level, ideally within enterprise tech or AI/ML ecosystems. Strong project management and delivery oversight experience, with the ability to manage ambiguity, prioritize ruthlessly, and drive cross-functional execution. Technical aptitude and fluency in data pipelines, AI/ML workflows, or data annotation—comfortable being hands-on with complex use cases. Exceptional communication skills with the ability to clearly convey value, manage stakeholders, and resolve challenges diplomatically. Experience growing and mentoring high-performing teams; excited to build a team from the ground up. Passion for GenAI, customer outcomes, and building in fast-paced, high-impact environments. B.S. degree in Business Administration, Engineering, or comparable degree/experience. Travel up to 20% based on customer needs. The salary range for this position based in the San Francisco Bay Area is $160,000-$240,000. All offers include equity compensation in the form of employee stock options.Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.In this role, you'llUtilize proprietary software to accurately label and deliver high-quality inputs across a diverse range of projects.Collaborate with the team to ensure the consistent delivery of top-tier data.Engage with technical staff to enhance project outcomes and elevate data quality. What we're looking forProficiency in reading and writing English.Strong adaptability and flexibility in response to evolving projects.Excellent communication, analytical, and organizational skills.Robust reading comprehension abilities.Solid understanding and practical experience in exercising sound judgment. Even better if youHave previous AI training or data labeling experience.Are excited about AI agents.

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Revenue Operations team is responsible for equipping and enabling the Go To Market (GTM) as they seek to help customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the roleWe’re seeking a seasoned and hands-on GTM Systems Engineering Team Lead to guide the technical execution of our AI-native go-to-market platform. This player-coach role balances strategic oversight with deep technical contribution—steering infrastructure, DevOps, and system architecture while staying close to the code.You’ll partner closely with Enterprise Systems Managers to align engineering capacity with business priorities, ensuring each sprint delivers secure, repeatable, and high-velocity outcomes. With a significant voice in technical direction, you’ll mentor engineers through solution design, code review, and delivery, fostering a culture of safety, scalability, and innovation.This is a leadership role for someone who has “been there, built that” at scale, but thrives in ambiguity—ready to roll up their sleeves and shape the future of modern GTM systems.This role is based in our San Francisco HQ. 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'll:Lead and mentor a high-performing team of GTM Systems Engineers, balancing hands-on technical work with strategic leadership.Drive architectural decisions and technical execution for Salesforce and integrated GTM platforms, ensuring scalability, performance, and security.Establish and enforce engineering best practices—including DevOps pipelines, code review processes, and deployment safety protocols.Partner with Enterprise Systems Managers to plan sprint capacity, assess technical trade-offs, and align on delivery priorities.Design and implement complex integrations and automation across multiple platforms (e.g., Salesforce, Clay, LeanData, Hightouch, OpenAI-built tools).Champion repeatable, secure, and high-velocity delivery in an evolving AI-driven environment.Collaborate cross-functionally to ensure technical solutions meet business goals and maintain operational excellence.You might thrive in this role if you have: Proven track record of leading technical teams in high-growth, enterprise-scale environments.8+ years of experience in GTM systems engineering, Salesforce architecture, and enterprise application integration.Expertise in DevOps practices for enterprise applications, including CI/CD, version control, deployment automation, and rollback strategies.Strong understanding of data governance, security, and compliance across global operations.Executive presence and the ability to communicate complex technical concepts to senior stakeholders.Experience balancing high-velocity delivery with repeatable safety and operational rigorAbout 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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking an experienced engineering leader to lead one of our Reliability Engineering teams. This team includes Software Engineers and Systems Engineers focused on defining and achieving reliability metrics for Anthropic's critical serving systems. As a manager, you'll lead the team that's significantly improving reliability for Anthropic's services while pioneering the use of modern AI capabilities to reengineer how we approach reliability engineering. This leadership role is critical to Anthropic's mission to bring groundbreaking AI technologies to benefit humanity in a safe and reliable way. Responsibilities: Lead and grow a team of reliability engineers responsible for large language model serving. Drive the development of Service Level Objectives that balance availability/latency with development velocity across the organization Oversee the design and implementation of comprehensive monitoring systems for availability, latency and other critical metrics Guide your team in architecting high-availability language model serving infrastructure capable of supporting millions of external customers and high-traffic internal workloads Lead the strategy for automated failover and recovery systems across multiple regions and cloud providers Establish and manage incident response processes for critical AI services, ensuring your team drives rapid recovery and systematic improvements Direct cost optimization initiatives for large-scale AI infrastructure, with focus on accelerator (GPU/TPU/Trainium) utilization and efficiency Partner with cross-functional teams to align reliability engineering efforts with broader company objectives Build a strong engineering culture focused on reliability, operational excellence, and innovation You may be a good fit if you: Have experience managing and scaling reliability or infrastructure engineering teams Possess deep technical knowledge of distributed systems observability and monitoring at scale Understand the unique challenges of operating AI infrastructure and can guide technical decisions Have successfully implemented SLO/SLA frameworks and can drive adoption across organizations Bring experience with both traditional infrastructure metrics and AI-specific performance indicators Can effectively lead technical discussions while translating between ML engineers and infrastructure teams Have excellent leadership and communication skills, with ability to influence at all levels Demonstrate strong hiring and talent development capabilities Strong candidates may also: Have managed teams operating large-scale model training or serving infrastructure (>1000 GPUs) Bring hands-on experience with ML hardware accelerators (GPUs, TPUs, Trainium, etc.) Understand ML-specific networking optimizations and their operational implications Have led teams through major reliability transformations or infrastructure migrations Possess experience building reliability engineering practices from the ground up Have contributed to or led open-source infrastructure or ML tooling initiatives Demonstrate thought leadership in the reliability engineering community The expected salary range for this position is:Annual Salary:$405,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first dedicated research hire - you will answer the question: how to train and scale a model that can serve a web index?You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics