Technical Learning Manager in United States

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a Supply Chain Technical Analyst, you will play a vital role in optimizing and managing Intel's supply chain operations. You will develop and execute supply chain planning schedules, materials forecasts, build plans, and capacity requirements, ensuring seamless operations to meet customer needs. By analyzing data, identifying patterns, and modeling optimization strategies, you will directly contribute to creating more efficient supply chain solutions that drive cost-effectiveness and operational excellence. Business Group You will join Intel Foundry's Central Planning team, which plays a pivotal role in ensuring effective supply chain management for Intel's innovative manufacturing operations. This team works collaboratively between customers and Intel manufacturing to optimize supply while maximizing capacity utilization across all manufacturing stages. The group supports Intel's mission by driving operational efficiency and delivering exceptional value to customers. Key Responsibilities: Analyze supply chain data to identify trends, patterns,

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll automate the integration of new capacity from a growing set of hardware providers; from auditing and benchmarking hosts and clusters, to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You'll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You'll dig into whatever is between the hardware and the software that runs on

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collecti

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You'll own the full lifecycle of a machine, from accepting and benchmarking new hardware from a growing set of providers, to network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation of unhealthy hosts. You'll manage a team of 3–8 engineers while staying hands-on across the stack which involves BMCs, firmware, PXE, bootloaders, Linux networking, drivers, and distributed control-plane services, and you'll shape our long-

ACS/Workstation Technical Support Representative Description - Job Summary • This role is responsible for independently handling complex customer issues, resolving intricate technical problems related to hardware and software, and providing comprehensive responses about services, products, and technical matters. The role guides customers proactively and maintains customer relationships, while also coordinating work and leading complex requests. The role also contributes to process improvements, and mentors lower-level roles for optimal organizational performance. Responsibilities • Addresses complex customer issues independently, ensuring adherence to established protocols. • Resolves difficult and complex technical problems related to hardware and software through interactions with customers and proactive notification systems. • Provides comprehensive responses to questions about services, products, technical matters, and customer relations, including features, specifications, and repairs, for both current and obsolete products, components, and options, in alignment with customer entitlement, such as warranty coverage through mission-critical support. • Guides customers proactively to mitigate or prevent the occurrence of problems, while also participating in initiatives aimed at enhancing processes or ensuring quality improvements. • Establishes and maintains trusted relationships within customer accounts across the spectrum of technical users. • Provides resolutions and feedback by performing root cause analysis of outages and trends to address issues promptly and effectively. • Coordinates departmental work, identifies improvement opportunities, and ensures effective business controls for streamlined processes. • Leads and assigns responsibilities for complex requests, contributing innovative concepts, and implementing ch

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 Director Product Management - Technical About Mastercard Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations help individuals, financial institutions, governments, and businesses realize their greatest potential. Role Summary We are looking for a **Principal Product Manager – Technical** to lead product strategy and execution for **global, real‑time switching and authorization platforms**.In this role, you will own the vision, roadmap, and delivery of **mission‑critical transaction processing capabilities** that operate at massive scale with strict requirements for availability, latency, resiliency, and correctness. You will work closely with engineering, architecture, operations, and business leaders to deliver platforms that support billions of transactions and enable reliable, secure payment experiences worldwide. This is a **senior individual contributor role** with broad influence across teams, regions, and portfolios. What You’ll Do Product Strategy & Vision* Define and own the long‑term product vision and strategy for switching and authori

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 Senior Product Manager -Technical Who is Mastercard? At Mastercard, we are revolutionizing the payments industry with cutting-edge technology. Our mission is to foster an inclusive, digital economy that empowers everyone, everywhere by making transactions safe, simple, smart and accessible. Through secure data and networks, strategic partnerships and our unwavering passion, we enable individuals, financial institutions, governments and businesses to achieve their highest potential. Our decency quotient (DQ) drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Switching Solutions team is looking for a passionate, collaborative and experienced Senior Product Manager- Technical that will provide innovative, secure, and reliable solutions for core Mastercard transaction switching systems. The ideal candidate is passionate about connecting business with technology, highly motivated, and an innovator who embraces, adopts and studies the latest technology trends. In this Role you will: Be responsible for working with various product teams across Mastercard to understand their business needs and translate to business and functional

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We're looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. We're hiring a Senior Principal, Technical Product Manager to help turn that vision into reality. This is a highly influential, hands-on individual contributor role with global scope. You'll identify process complexity, design practical automation solutions, and lead AI experimentation that delivers measurable impact for our Marketing, Brand, and Commercial teams worldwide. You'll work at the intersection of business and technology - partnering closely with cross-functional leaders to translate real workflow challenges into scalable, sustainable improvements. Success in this role means simplifying planning and execution processes, reducing manual effort, growing transparency, and introducing AI-enabled capabilities that build tangible business value. If you're motivated by solving meaningful enterprise problems and building practical solutions that make teams more effective, this is an opportunity to build how Hasbro works. What You'll Drive: Process Simplification & Workflow Design Assess end-to-end workflows across Marketing, Brand, and Commercial teams to identify friction, excess, and opportunity. Redesign

Who we’re looking for and why now? A great writer who gets technical stuff – and loves figuring out how to explain it to other people. We have a strong writing culture, and writing as marketing has worked ridiculously well for us. We have a newsletter with over 100k subscribers, active social accounts, and real SEO and AEO authority. Hundreds of thousands of people visit our website every day. If you join, you won't spend a year building an audience before anyone reads you. We can and like to be opinionated about what we think best practice is and thousands of developers look to us to provide them opinion. The problem is we're at capacity, and there's a long list of content we're neglecting because of it. We used to do more tutorials. Use case guides people keep asking us for. Overall, we have a lot to write about. PostHog has grown from product analytics into a broad platform for engineers, and we're building everything from AI agents and error tracking to data infrastructure at huge scale. We're also open by default, so we're unusually happy to share what we've learned along the way. We want someone who can turn all of that into genuinely useful technical content. Simply put, you're a writer . You care about the craft, have opinions about what makes technical content actually great, and have a portfolio that proves it. What you’ll be doing You'll research and explain use cases, technical concepts, and how things actually work. One day that might mean digging into how our engineers rebuilt part of our data warehouse. Another could be explaining the difference between logs and traces, writing a tutorial for a PostHog use case, or figuring out the best way to explain what a context warehouse is. You'll need to be comfortable getting into technical details, but you don't need to be an engineer. The important bit is that you're curious enough to understand technical concepts properly and a good enough writer to explain them simply. Day to day, it looks like: Writing co

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu We are looking for a seasoned Oracle Fusion ERP Technical Analyst to join our Financial Systems team and accelerate a portfolio of Order-to-Cash (O2C), Record-to-Report (R2R) and Procure to Pay (P2P) transformation initiatives. In this role you will own the design, development, and delivery of custom reports, data integration interfaces, document templates, and REST/SOAP API solutions within Oracle Fusion Cloud — enabling finance and cross-functional stakeholders to operate with greater speed and accuracy. The Financial Systems team owns the technology backbone for Instacart's finance operations, managing Oracle Fusion, Zip, Billing Platform, OIC, HighRadius, Workiva, and FloQast. We partner closely with Finance, Platform Engineering, and the CTO organization to drive transformation initiatives that scale with the business. You'l

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff IT Technical Program Manager on the IT Operations team, you'll own and drive eDiscovery and information governance programs across Coinbase. Embedded with cross-functional leadership, you'll serve as the connective tissue between domain experts and engineering teams, identifying automation opportunities, prototyping solutions with AI and workflow tooling, and driving adoption across the organization. You'll lead the technical strategy behind defensible eDiscovery processes and entity-specific retention capabilities, ensuring Coinbase meets its regulatory obligations at scale. What you’ll do: Own the end-to-end strategy and execution for eDiscovery and information governance solutions spanning multiple business functions and enterprise platforms. Partner with engineering teams to deliver technology programs that transform eDiscovery capabilities from hold through collection, review, and production (EDRM). Drive the translation of regulatory and compliance requirements into actionable system configurations, policies, and controls across platforms such as Slack and Google Workspace. Lead program timelines, dependencies, and risk escalations while maintaining audit-ready documentation including regulatory control matrices, playbooks, and SLAs. Build and validate comprehensive test plans for eDiscovery controls and information governance tooling to ensure defen

The GTM Enablement & Business Value Excellence team is the center of excellence responsible for how go-to-market execution is designed, enabled, measured, and continuously improved across Sales Enablement, Technical Solutions Enablement, and Business Value. We establish the capabilities, operating model, systems, analytics, and governance that enable our customer-facing teams to execute consistently at scale and adapt as our business evolves. Within the team, Enablement Operations designs and manages the operational infrastructure that powers enablement at scale. This includes operational governance, enablement systems, knowledge management, reporting, operational processes, and continuous improvement, ensuring programs can be delivered consistently, measured effectively, and continuously optimized. The Opportunity: As an Enablement Operations Manager, you will own the operational infrastructure that enables our programs to run efficiently and consistently at scale, with a primary focus on supporting Technical Solutions Enablement. You will partner closely with the Technical Solutions Enablement team to manage operational processes, enablement systems, knowledge management, reporting, governance, and continuous improvement. You will also collaborate with the Enablement Systems & Analytics team and cross-functional stakeholders to evolve the operational capabilities that support scalable execution. This role is ideal for someone who enjoys building scalable systems and processes, improving how work gets done, and creating the operational foundation that enables high-performing teams. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Support the operational processes, governance, and enablement systems that support Technical Solutions Enablement. Man

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our NYC or SF office. Prior experience with Rust is nice to have, but not required. Ability to participate in on-call rotation and respond to production incidents.

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of