Design Manager Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is building a modern, AI-native learning function, and we're looking for a Sr. Learning Experience Lead to own it. You'll own our learning platform and the onboarding and enablement experiences that run on it: designing them, delivering them, turning them into durable on-demand learning, and proving they work. This is a builder-leader role. You'll design learning, facilitate it live, build it into the platform, and measure its impact, and you'll do much of that hands-on, in the tools, the way a modern builder works. You'll start close to home and grow the mandate. Your initial focus is owning the onboarding experience for our Support organization, taking it end-to-end and turning it into a real, tracked, repeatable system. Over time, you'll elevate onboarding and enablement beyond Support to the broader company, partnering with our People team, with the learning platform as the vehicle. What You'll Do Own the learning platform. As its DRI, you own the roadmap, the learning journeys, and the instructional design behind them. You make the calls and own the outcomes. Support onboarding, end-to-end. Facilitation, the live-to-on-demand pipeline, and the role-based journeys that get new team members confident and productive fast. Create content and learning plans. Prescriptive learning paths and the content that fills them. Own measurement criteria and data-driven results: The layer that proves onboarding and enablement change behavior and speed ramp, not just completion rates, with the tracking and feedback loops that keep it healthy over time. As the mandate grows. Grow the platform and the learning function as adoption expands, raising the bar for how people learn at Replit. Required Skills & Experience Deep L&

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 6+ years of engineering or technical deployment experience that includes customer-facing work Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers Have scoped and delivered complex systems in fast-moving or ambiguous enviro

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 6+ years of engineering or technical deployment experience that includes customer-facing work Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers Have scoped and delivered complex systems in fast-moving or ambiguous enviro

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking an MDAO Engineer to develop the engineering models, software, and optimization workflows that enable rapid, rigorous vehicle design across Mach's product suite. You will help shape an expanding MDAO capability and build the tools that Conceptual Design and Operational Performance engineers use to evaluate vehicle concepts and make better design decisions. This is a software and model development role grounded in aerospace engineering. You will create reusable multidisciplinary analysis capability, connect models across vehicle disciplines, and advance the optimization and automation methods that make design studies faster and more reliable. You will also work directly with the engineers using these tools, including applying new capabilities to real vehicle studies when needed. This role is part of MDAO within Mach's Vehicle Design and Performance organization, alongside Conceptual Design and Operational Performance. Conceptual Design creates, Operational Performance assesses, and MDAO enables. You will collaborate across Aerodynamics, Propulsion, Structures, GNC, and other engineering teams, with opportunities to influence both the technical direction of our MDAO capability and the vehicles it supports. The ideal candi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Executive Content & Experiences team builds trusted relationships with leaders shaping the global economy. We design high-impact programs—including executive briefings, advisory boards, flagship convenings at Davos, and executive programming at Stripe Sessions—to bring Stripe's strategy to life. Beyond delivering premier high-touch moments, we turn leadership insights into actionable intelligence that directly informs Stripe’s narratives, product, and go-to-market direction. What you’ll do We are looking for a rock star product marketer to translate Stripe’s most complex technology and strategy into compelling, executive-ready narratives and scalable sales motions. In this role, you will lead the content strategy and enablement engine that powers our highest-stakes executive moments—from global Executive Briefing Centers (EBCs) to bespoke leadership workshops. Sitting at the intersection of Product, Sales, and Executive Engagement, you will equip Stripe leaders, account teams, and event hosts to clearly articulate Stripe as the complete financial infrastructure for the internet. Responsibilities Develop Thought Leadership Narratives: Craft tailored, point-of-view-driven narratives and presentations for executive-level meetings, advisory boards, and Tier-1 convenings. Drive Executive Briefing Center Enablement: Develop and scale sales enablement frameworks, messaging toolkits, and prep materials to empower account teams to lead im

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. 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: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

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 an Optical Proximity Correction (OPC) entry level engineer / technician, you will work in Micron’s reticle data preparation organization to process reticle design data through OPC enabling our Production and R&D fabs to print on wafer using photolithography as intended by the Designers. Your responsibilities will encompass a broad range of teams to ensure inputs and outputs to the tapeout process are accurate and of the highest quality. Interested candidates should be comfortable working across time-zones and interfacing with peers in US, Japan, and India to Passdown and maintain operations around the clock to help Micron improve our speed of development and response times to the needs of our Manufacturing and R&D Fabrication Facilities Responsibilities include, but are not limited to the following: Active participation in OPC production environment as an important part of reducing cycle time for each job requiring collaboration with the Mask and Litho Development teams to advocate the use of best-known methods (BKM) Watch notifications sent by the system, follow up with preliminary investigations, forward key information to appropriate team members and notifications when necessary to keep all aspects of day to day production running efficiently. Interact with a wide range of internal customers and collaborators and effectively communicate with the different groups in the tapeout flow in order to coordinate work load and field preliminary questions, Be able to provide i

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. We are looking for a passionate Software Engineer to join our dynamic feature team in Hyderabad, India. This team works on complex technical challenges, employs creativity and constantly learns a variety of frameworks, tools and technologies. As our Software Engineer, you will be required to: Contribute to tech grooming backlog items providing design, architecture, and implementation details Quality is the key driver to successful delivery, ensure highly testable and quality deliverables Leverage troubleshooting and analytical skills to analyze issues Experience with debugging, performance profiling and optimization Develop code within C#, ASP. NET,.Net Core, Entity Framework, Web API, Typescript/ Angular To apply for this role, you should possess the following skills, experience and qualifications: Expertise in C#, Angular, ASP.NET Web API, .Net Core, Entity Framework Hands on experience with SQL Azure experience is a plus but not a deal breaker Knowledge and experience with Html, CSS, JavaScript 2 years to 4 years of strong programming experience with C# and ASP.NET Bachelor’s Degree or above Ready to code, collaborate, and create impact? Submit your updated resume and let’s start your journey with Envoy Global.!!

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities and Tasks: Coordinate with Internal and External Teams on Preparation for Silicon Work with Manufacturing teams to ensure resources are available Identify HBM Component Validation equipment needs Identify and validate HBM Component Validation equipment and testing flow Ensure that Silicon Meets Product Expectations Debug and identify root cause for failures Implement fixes for fails (Design or Process) Work with Design Validation (DV) and Quality Assurance (QA) Teams on customer returns to identify new tests Work with Global Quality Team (GQ) to ensure reliability Partner with Engineering, Manufacturing and Marketing Create and deliver presentations both inside and outside Micron Participate in meetings Troubleshoot, develop or validate HBM Component Validation testing programs Evaluate data sheets and provide feedback to Application Engineers Prioritize work with other groups Provide Technical Training and Expertise Provide On-the-Job Training (OJT) for new engineers

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. Senior AI Engineer – SMAI, Micron Technology, Inc. As a Senior AI Engineer within Micron's Smart Manufacturing & AI (SMAI) organization, you will design, develop, and deploy AI-enabled enterprise solutions that drive manufacturing efficiency, quality, productivity, and digital transformation. You will leverage technologies such as Generative AI, .NET, Angular, JavaScript, SQL, Azure Cloud, and DevOps to build scalable, secure, and high-impact business applications. Key Responsibilities Design and develop AI-powered, cloud-enabled, and full-stack enterprise applications. Integrate Generative AI, machine learning, and intelligent automation capabilities into business solutions. Build modern, intuitive, and responsive user interfaces using Angular, JavaScript, HTML5, and CSS. Develop secure and scalable backend services, APIs, and microservices using .NET technologies. Collaborate with business stakeholders to identify opportunities for automation and process improvement. Contribute to enterprise architecture, application modernization, and technology roadmap initiatives. Implement DevOps best practices including CI/CD, automated testing, monitoring, and deployment automation. Analyze application performance, usage metrics, and system health to improve scalability and reliability. Partne

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 is the fastest growing semiconductor company in India offering a wide & attractive range of career opportunities. One of the rapidly growing functions within Micron India is the Micron SDV (Silicon Design Validation) team in Hyderabad and the team is looking to hire for the position of NAND Silicon Design Validation Product where you will be responsible in the development, validation, characterization, and qualification of new pioneering NAND Flash memory products. There is a tremendous scope for individual learning and career growth in this role. In addition to the SDV responsibilities, you will also work multi-functionally with NAND R&D, Design, and other various engineering teams towards new product startup , define, validate & deliver product specifications and requirements. Also, Product Engineers are the key product-specific point of contact with high visibility for critical issues and act as the main interface between Research and Development, Manufacturing, Business Units, and Quality Assurance departments. Job Responsibilities Responsibilities include, but not limited to: Characterization, debug, and validation of NAND including digital and analog circuitry from ONFI performance perspective . Partnering with fabric