At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 The Mission The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations. As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. What You'll Own MCP Server Platform Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server Agent Orchestration & AI-Native Products Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable Integrate with LLM p
Jobs in United States
Learning Tools Manager in United States
1,246 active opportunities · Updated October 2026
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Explore current learning tools manager jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Team Cloudflare handles traffic for almost 25% of the Internet. That’s a lot of data. On the Town Lake team, our mission is to make that data accessible and valuable for users across the company. We connect data from dozens of source systems and make it available so that any user in the company can answer any question in 5 minutes or less, using SQL or plain english. We’re building a modern, agentic-first data lakehouse platform ba
About the team OpenAI’s Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the role We’re looking for a product-minded Full Stack Engineer to help build OpenAI’s education products from the ground up. You’ll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You’ll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: Build and ship product experiences across the full stack for OpenAI’s education offerings Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences Help define the engineering foundation for a growing education pod, including patterns, systems, and technical
Head of Recruiting About Novo Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don't provide the access, assistance and modern tools that owners need to successfully grow their business. We started Novo to challenge the status quo—we're on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we're excited to lead the small business banking revolution. At Novo, we're here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We've made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking. Why Novo? 250,000+ business customers using the platform $30B+ in transactions processed Profitable, with $170M raised to date Backed by firms including Valar Ventures, Crosslink Capital, Stripes, BoxGroup, RRE Ventures, and Notable Capital Recently launched AI Agent Infrastructure and In-App Agents, and we are looking to expand our design creativity around them We work with modern tools technologies, of course.. AI We provide learning and development budgets to help you grow and bond with your team The Role We're looking for a Recruiter to own how Novo hires across North America (USA & Latam)—Product, Customer Experience, Credit, Banking Operations, and the other teams that make a bank run. You'll be the person who turns a headcount plan into a pipeline of great candidates, and who makes sure every one of them has a fast, respectful, well-run experience with us. Thi
About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro
About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-6 Astra, GPT-Live, and GPT-Image-2.5 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, Cyber, you will create technical content, developer tools, and sample applications that help developers and security teams secure the software they build and depend on. You will turn OpenAI’s cybersecurity capabilities, including Codex Security, into clear, runnable examples and useful learning experiences. You will work directly with developers, security practitioners, and technical founders to understand their needs and show how AI can improve secure development and defensive security workflows. We’re looking for a hands-on engineer who combines strong software skills, creativity, developer empathy, and curiosity about cybersecurity, and who can own projects from the first prototype through release and ongoing improvement. In this role, you will: Build demos, sample applications, and developer tools that demonstrate practical ways to use Codex, OpenAI’s APIs, and Cyber products for secure software development and defensive workflows. Create tutorials, blog posts, videos, and code samples that help developers understand security findings, validate and prioritize vulnerabilities, r
About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with
About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI. Our approach is grounded in shared stewardship: we collaborate with communities, educators, stakeholders and frontline organizations to co-create AI tools and practices that reflect real needs and expand opportunity. The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships to ensure that diverse perspectives inform our work. We work shoulder-to-shoulder with communities — meeting people where they are, listening first, and building solutions together. Through sustained collaboration and shared learning, we co-create pilots, tools, and local programs that reflect real needs; we then partner with public officials and peer organizations to help bring those community-shaped ideas to broader practice. In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere. About the Role As Engagement and Outreach Lead, you will help lead OpenAI’s efforts to build trusted, long-term relationships with third-party organizations, civic and community leaders, and mission-aligned networks that help ensure AI benefits everyone. This role blends strategic partnership and policy development with visible public engagement and coalition-building. You’ll represent OpenAI across education, workforce, technology policy, civic, an
From $88.1K/yr
About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Platform Engineer, you will contribute to building and improving Stitch Fix’s cloud-native infrastructure and internal developer tooling. You’ll work on tools and automation that help product engineers deploy, operate, and debug services more easily, while learning modern platform engineering practices alongside experienced teammates. This role is ideal for engineers who enjoy improving developer experience and want to grow their skills in cloud infrastructure and CI/CD systems. Responsibilities: Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity Collaborate with platform and application engineers to identify friction points and implement incremental improvements Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows Have opportunities to propose ideas and improvements, with support and mentorship from the team Things you’ll get exposure to (and we don’t expect experience with everything): AWS Terraform, Pulumi CircleCI Docker, ECS, EKS Ruby, Golang, Python About You 2+ years of software development and infrastructure experience with significant contribut
About the Team The Post-Training Frontiers team is responsible for training the frontier agents OpenAI ships to the world (GPT-Next). We train the flagship agentic models behind Codex, ChatGPT, and the API through large-scale reinforcement learning. The team’s work spans four areas. First, execution and science: working with teams across OpenAI to decide what can go into the final model and how, using scientific experiments and evals that are representative of the final pipeline so issues can be recognized early. Second, RL scaling: executing the final large-scale reinforcement learning run, making sure GPUs are used efficiently and training stays healthy. Third, research: improving horizontal capabilities like instruction following, factuality, memory, and multi-agent behavior, where the team’s broad visibility helps identify cross-cutting improvements across teams and domains. Fourth, engineering: maintaining the infrastructure stack and internal tools to ensure that both the final run and all integrations go as smoothly as possible and that the systems are easy to work with. About the Role This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure problems as they emerge, from scaling and orchestration issues to inference bottlenecks, numerical problems, and hardware failures, as well as supporting large horizontal integrations in the big run, like multi-agent capabilities or memory. This is a role for a strong generalist who quickly learns anything needed for the task, has high attention to detail, debugs deeply, and is motivated by fixing the highest-impact problem in front of the team. In this role, you will: Keep large-scale async RL training runs moving by jumping into the most urgent engineering and infrastructure problems. Debug issues across training systems, inference, orchestration, scaling, and distributed infrastructure. Improve the reliability and efficiency of RL trai
From $245K/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role Notion is looking for a Head of Demand Engine to build the engine that turns our best product stories, customer proof, and market opportunities into scaled pipeline. You’ll lead demand programs across campaigns, digital, paid strategy, webinars, email, web, and emerging channels. You’ll partner closely with Product Marketing on audience and offer strategy, with Performance Marketing on paid execution, and with Field Marketing & Events on the moments that benefit from in-person activation. This is a senior leadership role with both AMER and global scope. You’ll help set the global standard for how Notion plans, runs, tests, and measures demand programs, while learning from strong regional teams and making the best ideas repeatable across markets. You’ll lead a growing team spanning demand programs and digital demand, with room to expand into areas like partner marketing over time. This is a build job as much as a run job. We’re looking for someone with real taste who can spot a strong idea, turn it into a sharp program, and build a repeatable engine around what works. You should care about quality and craft, but als
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Software Engineering Role Overview Mastercard is seeking a Vice President of Engineering to lead the Developer Workbench, a strategic platform designed to deliver a unified, AI-enabled, end-to-end software engineering experience across the enterprise. The Developer Workbench will bring together core engineering products, developer tools, AI-assisted coding capabilities, development environments, testing workflows, deployment pipelines, cloud development experiences, and developer insights into one cohesive platform. This leader will be accountable for transforming the Workbench from a set of disconnected tools and services into a productized developer experience that improves productivity, accelerates onboarding, increases adoption of modern engineering capabilities, and strengthens governance across the software development lifecycle. This is a senior engineering leadership role for a builder, integrator, and enterprise change leader who can operate across product, engineering, architecture, security, finance, learning, and senior technology leadership. ________________________________________ Key Responsibilities Lead the Developer Workbench Engineering Strategy • Define and execute the engineering strategy for the Developer Workbench. • Establish the technical architectu
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Product Architecture Group partners across fabs, test, module, and system teams worldwide to deliver high-performance memory products. We work across geographies and functions to solve complex technical challenges, drive product innovation, and enable industry-leading DRAM solutions. Our team values collaboration, continuous learning, and making a measurable impact through engineering excellence. As a New College Graduate DRAM Yield & Quality Engineer, you will play a key role in monitoring and improving the health of Micron’s server DRAM products. Working with experienced engineers and cross-functional teams around the globe, you will analyze product and manufacturing data, investigate technical issues, and contribute to strategies that improve yield, quality, and performance throughout the product lifecycle. This is a highly visible role with direct impact on customer success and product reliability. Responsibilities Analyze silicon parametric, test, and manufacturing data to identify trends, resolve product issues, and support root cause investigations. Contribute to yield and quality improvement initiatives across new product introduction (NPI), qualification, ramp, and high-volume manufacturing. Collaborate with fab, test, module, quality, and operations teams to drive execution of product health objectives. Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting. Apply AI, Agentic AI, and Generative AI tools to en
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Engineer in Node Development group, you will be part of a forward-thinking team of engineers that solves complex problems to develop industry leading DRAM! You will engage on new technology at design start and be part of a team responsible for delivering technology to enable the full product portfolio, initial device qualification and production ramp. This will be accomplished through innovation and by cross-functional engagement with partner groups; Design, Test, Technology Development, Marketing, Manufacturing and Quality Assurance departments to co-optimize product and process. While you may not exhibit all of the characteristics/skills listed below today, we are highly interested in a teammate who is motivated to grow in technical breadth and depth. Suppose you are open to learning while being a valued member of a team of world-class engineers. In that case, we are determined to help build upon your existing foundation, while focusing on your individual and collaborative skills in this exciting and outstanding opportunity. Responsibilities Include: Enable new process node startup, qualification, yield, and ramp Collaborate with internal engineering groups; Design, Technology Development, Design for Test, and Quality teams to understand yield issues and priorities. Provide direction to development teams using thorough knowledge for process integration Develop and key metrics for feedback on a new technology Support design verification and validation using CAD tools and simulation
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Manufacturing Development Engineering (MDE) Shift Engineer in Photolithography , you will play a critical role in enabling 24/7 process development for next-generation DRAM technologies. Operating on a 12-hour rotating shift schedule , you will be the primary engineering decision-maker for off-hours development activities, ensuring uninterrupted execution of process development experiments and technology learning. Unlike traditional manufacturing shift engineering roles, this position operates in a highly dynamic development environment where process conditions, specifications, and experimental flows regularly evolve. You will apply sound engineering judgment to disposition development wafers, address process and equipment challenges, and balance development objectives with execution needs. In addition, you will use advanced analytics, automation, and AI-enabled solutions to accelerate learning cycles, improve decision quality, and support Micron's AI-driven digital manufacturing strategy. Responsibilities Serve as the primary off-hours technical authority for development activities by dispositioning wafers, releasing or holding tools, responding to process deviations, addressing execution risks, and maintaining development momentum. Partner with Photolithography Process Development, Process Integration, Equipment Development, Manufacturing, and Shift Operations teams to resolve process and equipment issues, remove output constraints, and support experimental processing. Apply Statistical Process Co
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