Technical Partner Manager in United States

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

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

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. Key Responsibilities Overlay Strategy, Roadmap & Technical Leadership Own the overlay roadmap including bond overlay technologies. Serve as the technical authority for overlay, defining overlay specifications, error budgets, mark strategies, technical signoff criteria, and scaling requirements for future technology nodes. Develop innovative overlay solutions that enable advanced bonding while meeting performance, yield, manufacturability, and scaling objectives. Drive advancement of overlay metrology, automation, process control, modeling, and analytics capabilities in partnership with Process and Metrology teams. Apply advanced analytics, Artificial Intelligence, simulation, and experimental methodologies to accelerate learning, identify root causes, and improve overlay performance. Technology Development & Problem Solving Lead simulation and experimental process development activities, balancing modeling with hands-on characterization and technology development. Develop and maintain overlay error budgets, validation plans, experiments, and technical assessments that connect process behavior to device and integration requirements. Solve complex overlay challenges involving alignment, distortion, deformation, process interactions, and bonded wafers. Translate technical findings into actionable process improvements, technology decisions, and roadmap recommendations. <

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

Support Engineering Technical Manager — USA - Hazelwood, Macau S.A.R.. Apply via Workday.

Comparative Medicine Technical Associate, Animal Care — United States - Massachusetts - Cambridge. Apply via Workday.

Test Program Integrator - Technical Project Manager (Experienced or Senior) — USA - Berkeley, MO. Apply via Workday.

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

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 in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! Requirements: 5+ years of experience writing high-quality, high-performance code. Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). Familiarity with Nvidia GPU architecture and CUDA. Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

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're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. Requirements: Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. Strong product instincts; yo

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’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity. Requirements: 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software. Knowledge of advanced Python features, especially async programming. A strong product sense that manifests as a focus on developer ergonomics and productivity. A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems. Ability to participate in on-call rotation and respond to production incidents. Ability to work in-person in our NYC or Stockholm office. Any of the following would be a plus: