Design Manager Jobs

Job Overview Wargaming is looking for a Performance QA Team Lead to join our World of Warships PC team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players. We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices. Reports to Head of QA What will you do? Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios Create and maintain test infrastructure, tools, and frameworks for QA team Maintain documentation for performance tests, tools, and testing processes Collaborate with development and other teams to analyze performance results and drive improvements Integrate and maintain performance testing within CI/CD pipelines Participate in architectural and technical design reviews from a QA perspective What are we looking for? 4+ years of experience in Performance QA, Performance Engineering, or related areas Experience in leading QA teams or technical leadership 2+ years of professional experience with Python Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis Upper-Interme

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a "100,000-year data gap"—the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork's answer to it. We deploy skilled workers into real commercial and residential environments—kitchens, warehouses, hotel floors, and homes—to capture the high-fidelity task data that the world's leading robotics labs use to train their foundation models. About the Role Every dataset IRL ships starts as raw video: multi-camera rigs recording a worker palletizing a warehouse order, cooking a meal, or turning over a hotel room. Many hours of synchronized streams per session, plus the telemetry captured alongside them, growing into petabytes. As a Video Platform Engineer, you'll own the pipeline that turns that raw capture into training-ready data: ingest, transcode, time-synchronization, automate video quality checks, indexing, and delivery to the robotics labs that train on it. This is a hybrid media-engineering and distributed-systems role. You'll make codec and container decisions. You'll design orchestration that survives a rig failing mid-session. And you'll own the cost per captured hour of processing. You'll help shape the roadmap by working directly with the data collection teams in the field, and you'll have real say in which of their problems we solve first. Who You Are - 5+ years building a

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. Software Engineer on the Integrations team, you will lead the design and development of Dialpad’s key native integrations. These integrations enable real-time automation and data transfer between Dialpad and complementary systems, ensuring our mutual customers have a seamless, unified experience. This includes

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 Frontend Software Engineer on the Financial Services & Loyalty team within the Consumer & Business group, you'll build and ship the user-facing experiences that power Coinbase's card, payments, and loyalty products for millions of customers. This team owns the end-to-end frontend for products like the Coinbase One credit card, crypto-back rewards, and consumer payment flows. You'll own features from technical design through production release, working closely with product, design, and backend engineering to deliver fast, reliable, and intuitive experiences that drive activation and retention. What you'll do: Own end-to-end frontend development across web and mobile for financial services products using React and React Native, including card onboarding, rewards, transactions, and payment flows. Build new features that expand the value proposition of Coinbase's loyalty and card products, shipping high-quality code that directly impacts customer engagement and revenue. Drive experimentation and funnel optimization efforts that measurably improve conversion, activation, and retention across key user journeys. Partner cross-functionally with product, design, and backend engineering to translate requirements into polished, performant frontend experiences. Identify and resolve frontend performance bottlenecks, contributing to measurable improvements in CUJ late

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap”—the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments—kitchens, warehouses, hotel floors, and homes—to capture the high-fidelity task data that the world’s leading robotics labs use to train their foundation models. About the Role Instawork Robotics creates the highest-quality, highest-diversity datasets for robotics and physical AI. We work with leading robotics builders and research labs to solve one of the most important challenges in robotics: closing the data gap. As a Platform Engineer, you will build the products, services, tools, and infrastructure that power IRL’s data collection, processing, and quality workflows. This is a hybrid product and infrastructure role: you will design platform capabilities for application engineers while also owning the reliability, scalability, cost efficiency, and operation of the systems behind them. You will collaborate across Engineering, Operations, and Business teams to translate customer requirements into clear, scalable technical solutions, leveraging AI methodologies to deliver high-quality products and efficient software workflows. You’ll work across distributed systems, Kubernetes, cloud infrastructure, observability

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 research and development has an opening for Yield Analysis (DA) engineer to develop our next generation memory solution and to support production transfer for the next generation Micron products. As a DA engineer you will be responsible to characterize electrical data to identify and source out extrinsic and intrinsic device issues that are impacting yield. You will work closely with cross functional team from R&D and manufacturing to accelerate product to market timeline by applying device physics knowledge to develop end of line device performance prediction using machine learning. We need engineers who are passionate about detecting problems, making changes for the better, and seek out innovative ways in how predict end of line device performance. Your responsibilities will include, but are not limited to the following: Analyze end of line test, parametric and fab data to identify design, process, and test issues that are impacting yield Develop new tools for yield analysis and implement machine learning technique to improve analysis efficiency and accuracy, leveraging artificial intelligence (AI) to improve proficiency. Identify new creative and innovative ways to use existing tools to identify relevant process issues or device failures Identify interactions between process modules and/or equipment to detect fail mechanisms Use the data collected inline to drive process improvements Improve yield by standardizing methods and

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. 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. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions Design, develop, and validate AI-enabled solutions, intelligent workflows, analytics capabilities, automation tools, and internal EHSS a

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. Enable rapid learning and effective technology transfer across the organization through deep involvement in defect detection equipment applications and advanced data analysis. Analyze process challenges using defect data and equipment signals to identify root causes and improvement opportunities. Collaborate with cross-functional teams across process integration, process development, data science, and yield analysis to deliver solutions with global impact. Drive defect reduction and yield improvement efforts across multiple projects on Micron’s DRAM roadmap, including High Bandwidth Memory (HBM) and advanced DRAM technologies. Develop a comprehensive understanding of process flows, potential failure and defect modes through FMEA, and associated detection strategies for inline yield characterization. Define die loss paretos upon issue detection and partner with process and integration teams to design, execute, and analyze experiments and DOEs to resolve yield limitations. Monitor baseline inline yield health for owned process modules using SPC techniques to quickly identify excursions, process drift, and emerging risks. Protect line yield by proactively escalating issues and coordinating corrective actions. Apply advanced data science and data interpretation skills to analyze complex datasets, draw actionable conclusions, and communicate results effectively. Present findings and recommendations to internal teams and customers using analytical tools such as JMP and Python. Employer will accept a Master’s degree in Material Engineering, Chemical Engi

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. Responsible for early validation of DRAM products with customers' newest technology. Involved in computer system-level failure analysis, characterization, and qualification of our products. Run and configure diagnostic software, craft experiments, analyze and interpret data, debug fails, develop custom tools, and communicate data to customers both inside and outside Micron. Work with other specialists within the Systems Compatibility Group as well as multi-functional teams including Application Engineering Groups, Product Engineering, Return Material Authorization (RMA), and throughout Micron. Lead Micron Product Qualifications with Internal and External customers. Build and develop validation strategies for new or existing technologies, which may include developing system test methodologies and system diagnostic tools. Design and implement automation for System Level testing. Define and execute system test methodologies. Employer will accept a Master’s degree in Electrical Engineering, Computer Engineering or related field. Position requires: 1. Utilizing Knowledge of computer architecture to perform system-level memory validation, system characterization and failure analysis, and developing system diagnostic tools. 2. Utilizing Python to evaluate and develop diagnostic software, system debug and test methodologies. 3. Designing experiments, analyzing and interpreting data, crafting custom tools and communicating data to customers. 4. Building and developing validation strategies for new technology inc

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure. Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency. We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit. What You’ll Do: As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform. Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency. Own the architecture and evolution of the platform’s control plane and data plane, includ

About The Role Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers. As we scale the company, we continue to invest heavily in driving brand awareness and consideration. This new role will be the custodian of the Together AI brand. They will lead brand marketing at Together AI, building and executing the strategy to build the brand. The work will include creating a brand narrative, architecting a campaign and executing the campaign across channels to deliver high impact results. This role will report into the head of marketing and will have the opportunity to own and independently build the brand marketing function at one of the most innovative companies at the forefront of AI. Responsibilities Create the brand narrative, grounded in the vision of the company to provide open, abundant AI and appealing to a technical audience. Collaborate with CEO and other leaders Build brand campaign with messaging, design and channel execution that cuts through the noise Drive consistency of brand messaging and look & feel across marketing assets and channels Lead inhouse and vendor design resources Come up with objective goals on how to measure brand awareness and sentiment, and establish a brand tracker Guide and influence thought leadership content that product marketing builds Own the budget for brand awareness and identify top-performing levers to scale Foster a culture to experimentation to try new ideas that can help us scale further at the right ROI Requirements 5+ years leading brand and creative teams Has seen great by building high impact brand campaigns in B2B marketing Strong ownership mindset and ability to build something from ground up Experience managing budgets for brand campaigns Strong analytical skills with a data-driven approach to de

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Job Description The Geometry Scalability team builds the systems that power both Avatars and Environments across Roblox. Our mission is to enable millions of developers to build large, high-fidelity worlds and multiplayer experiences that still run smoothly on phones and low-end devices. We’re the team that lets Roblox experiences evolve from simple platformers into massively multiplayer, open-world, AAA-quality games. This is a CEO-level priority: how Roblox “ages up” from kids’ games to experiences everyone wants to play, by making higher-fidelity avatars and environments performant at platform scale. You Will: Design and ship 3D engine systems for avatar and environment geometry, including mesh processing, level of detail, transcoding, streaming, runtime loading, and related performance systems. Partner closely with other teams (Rendering, Avatar, Studio) and external developers so that the features you build are directly usable to create amazing experiences. Profile and improve the performance of our game engine across a wide range of devices, with particular attention to mobile. Lead by example: drive projects end-to-end, mentor other engineers, and help set a high bar for technical qu

ABOUT THE TEAM The Integrated Workflows team exists to expand Mural's value by embedding it seamlessly into the essential business workflows our customers already live in. We connect Mural to the tools that teams rely on every day, from the systems of record where work gets tracked to the places conversations happen and the surfaces content moves through. That is what integrations unlock, and it is the most interesting thing about this team. When Mural can reach the work happening everywhere else, a canvas stops being a snapshot of one meeting and becomes a live surface for how a team operates: real context pulled in, real decisions pushed back out, nobody retyping a status update or hunting for the current version. A workshop stops ending at the wall of sticky notes and starts ending in tracked, owned, moving work. That is when collaboration gets genuinely effective, and building toward it is the point of everything we do. Underneath all of that, we build the integration platform: the shared frameworks, services, and patterns that let any team at Mural ship a connected experience without starting from scratch. Our mission: to make Mural a natural part of daily work. We measure success by how indispensable Mural becomes inside real customer workflows, not by the number of integrations we ship. YOUR MISSION As a Senior Software Engineer on the Integrated Workflows team, you'll own significant parts of how Mural connects to the outside world. You'll design and build integrations that are reliable, secure, and genuinely used, and you'll turn one-off connector work into integration platform capabilities the rest of the company can build on. This role sits at the intersection of product and platform. You'll work directly against third-party APIs and SDKs with all the ambiguity that entails: shifting contracts, rate limits, auth models, partner review processes. At the same time you'll keep our own abstractions clean and our public API stable for the developers who depend

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role We build the isolation layers that contain untrusted and semi-trusted code. You will design, build, and harden process sandboxes across one or more of Linux, macOS, and Windows, the last line of defense when something inside goes wrong. This is a deep systems role for someone who thinks in terms of attack surface, threat models, and the exact boundary between trusted and untrusted. You Will: Design and implement sandboxes using platform primitives: nsjail, seccomp-bpf, namespaces, cgroups, and Landlock on Linux; the Seatbelt (sandbox_init / SBPL) and related mechanisms on macOS; AppContainer, job objects, restricted tokens, and integrity levels on Windows. Define and lock down every communication path in and out of the sandbox: syscalls, IPC, shared memory, file descriptors, sockets, brokers, and minimize what each one exposes. Enumerate and reduce attack surface: kernel syscall surface, broker interfaces, device access, and side channels. Assume the code inside is hostile. Make deliberate engineering tradeoffs between isolation strength, performance, compatibility, and maintainability, and document the reasoning. Write threat models, review designs, and respond to sandbox es