Staff Technical Writer Jobs

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 . Team/ Role: Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Risk Architect on the Trading team, you'll design, build, and own the real-time risk engine at the heart of a unified trading platform: cross-asset user and portfolio risk evaluated in real time on the core trading system that serves our Retail, Prime, and wholesale brokerage customers. It's a rare chance to architect risk infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Own the architecture of the real-time, cross-asset risk and margin engine: user and portfolio modeling, multifactor and borrow risk, and cross-portfolio evaluation at scale. Design low-latency, high-throughput risk systems, keeping correctness and performance in step with a growing trading platform. Drive reliability and performance, owning SLOs, observability, and incident response for risk-critical systems. Set the technical bar through code, design reviews, and standards, and pay down the technical debt that matters most. Serve as the risk-architecture anchor for the team, mentoring engineers and reducing single-point-of-failure risk. Partner cross-functionally with Product, Trading, Financing/C

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 . Team/ Role Paragraph: Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As an Architect on the Trading team, you'll design, build, and own the core trading systems that power Coinbase: order and execution management, algo execution, settlement, multi-venue connectivity, and low-latency messaging that serve our Retail, Prime, and wholesale brokerage customers. It's a rare chance to architect trading infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. What you’ll do: Own the architecture of the end-to-end trading platform: the sequencer, the low-latency connectivity and messaging fabric, OMS/EMS, multi-venue connectivity, and execution. Design low-latency, high-throughput systems for real-time financial products used across institutional and retail markets. Drive reliability and performance, owning SLOs, observability, and incident response for systems where correctness and latency are non-negotiable. Set the technical bar through code, design reviews, and standards, and pay down the technical debt that matters most. Reduce single-point-of-failure risk across the trading stack and build team resilience through mentorship. Partner cross-functionally with Prod

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Ads & Monetization organization sits at the heart of Pinterest’s business, where machine learning, AI, creatives, attribution, reach, and marketplace come together to create value for advertisers and relevant, inspiring experiences for Pinners. Pinterest is at an inflection point. Hundreds of millions of users come to the platform with active commercial intent — making Pinterest uniquely positioned to influence the full purchase journey from inspiration to action. We are building a path of non-linear growth with emerging surfaces, expanding international markets, and foundational investments in relevance, advertiser return on ads spend, measurement, and creative quality. Unlocking that path requires disciplined, technically sophisticated execution across a collaborative, multi-team environment spanning technology, strategy, go-to-

About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground-up and other automation solutions as part of DoorDash's core delivery platform. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! About the Role As the Hardware TPM at DoorDash Labs you will play a central role within the robotics hardware team and across all of DoorDash Labs as we improve last-mile deliveries using autonomy. You will report to the Lead of our Technical Program Management team. This role requires onsite presence in one of our two HW Labs in either San Francisco or Oakland minimum two days per week. You're excited about this opportunity because you will… Be part of an exciting effort to develop and manufacture an autonomous delivery robot Work with our robotics hardware, software, autonomy and operations teams on a daily basis to solve challenging technical autonomous vehicle problems Program manage and help lead development, testing, validation and manufacturing of our current and next generation mechanical, electrical and electronic robotics hardware Take hardware projects from product requirements or engineering concept to public roads driving Work with leaders and engineers across Hardware, Software, Firmware, Controls, Autonomy and Ops to plan, track, follow up and resolve issues Leverage your expertise not only in hardware but software and firmware integration as well Manage vendor relationships domestically and internationally, both for prototyping and mass production. We're excited about you because… B.S., M.S., or PhD. in engineering, e.g. robotics, mechanical, electrical or computer science 8+ years of industry experience working in engineering and program management Experience with software and hardware development processes Experience taking hardware from product requirements to mass production overseas,

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model, or remote within Ireland. The right candidate for this role will be: Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 10 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Senior /Technical Program Manager for our Application Experience (AppEx) organization. AppEx is the engineering org that builds the surfaces developers and data engineers love — from Streamlit and Notebooks to Native Apps, Cortex Code, Snowpark drivers, and the developer platform that ties it all together. This TPM will drive high-visibility programs that span multiple AppEx teams and define how tens of thousands of developers experience Snowflake's capabilities every day. AS A SENIOR / STAFF TECHNICAL PROGRAM MANAGER, YOU WILL: Own and drive complex, cross-functional programs across AppEx engineering teams — spanning application surfaces, developer tooling, AI-powered experiences, and the underlying platform — from scoping through delivery Partner with Engineering Managers, Product Managers, and Principal Engineers to define program roadmaps, surface dependencies, and build execution plans that hold up under real-world complexity Serve as the connective tissue across AppEx sub-orgs (Appli

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

About the Team DoorDash Labs is a team within DoorDash building autonomous delivery robots and other autonomy solutions from the ground up for DoorDash's core delivery platform. If you have a passion for applying autonomy and robotics in a service used by millions of people daily, then we want to talk to you. About the Role As an Autonomy software TPM at DoorDash Labs you will play a central role within the robotics team at DoorDash Labs as we scale and optimize last-mile deliveries using autonomy. You will report to the manager of our growing Technical Program Management team and will interface with autonomy teams, software, safety, and operations teams on a daily basis to drivie our autonomy stack capabilities forward. This role can be remote, with some amount of travel to our different deployment areas. You're excited about this opportunity because you will… Be part of an exciting effort to develop and manufacture an autonomous delivery robot Work with our autonomy software teams to deliver meaningful, new autonomy features Program manage and help lead development for our software stack within Perception, Planning, Localization, System Safety, Simulation and Remote Assistance Drive completion of autonomy features from requirements or engineering concept to validated public roads driving Work with leaders and engineers across Autonomy, Software, Product, QA, and Ops to plan, track, follow up and resolve issues We're excited about you because you have… In-depth understanding of autonomy and autonomy feature validation strategies in simulation, closed course testing, and on public roads 8+ years of industry experience working in engineering and/or program management In-depth experience with the software development life cycle Demonstrated success taking software products or features from concept to production A track record of managing complex, cross-functional programs with significant ambiguity The ability to operate from a deep technical level all the

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. Job Title: Technical Leadership Plrogram - Member Of Technical Staff – HBM Verification Location: Hyderabad, India Experience : 12+ years in Design Verification (experience with Pre-Silicon Verification OR DDR/GDDR/LPDDRmemory/SerDes PHY IP Verification is preferred) Role Description Join the Micron HBM team where you will drive verification architecture for next-generation HBM, ensuring robust methodologies and sign-off strategies. This role is perfect for a hands-on silicon verification expert who is passionate about developing best-in-class verification methodologies, testbench design, AI enabled verification and developing novel solutions to improve quality and efficiency of verification workflows. Key Responsibilities Define and drive verification architecture and methodology for next generation HBM designs. Develop verification plans, coverage strategies, and sign-off criteria. Architect and implement UVM-based testbenches and reusable verification components. Apply Formal Verification techniques for critical Collaborate strictly with build teams to ensure verification completeness and quality. Mentor and guide verification engineers on guidelines and advanced methodologies. Evaluate and integrate AMS Co-Simulation techniques for mixed-signal IP verification. Work closely with EDA vendors to adopt the l

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

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. Member of Technical Staff (MTS) – 3D NAND Process Integration Job / Role Summary The role drives advanced 3D NAND technology pathfinding and process integration within the Advanced NAND Technology team in Singapore. It leads the translation of device concepts, materials, and process architecture into validated, manufacturable technology solutions. The position coordinates end-to-end development from concept through technology validation, applies data-driven, AI-assisted, and model-based methods to resolve complex scaling challenges, and collaborates across Device, Probe, Test, Design, and Operations to improve performance, yield learning, execution, and future-node roadmap readiness. Main Responsibilities Lead 3D NAND integration, pathfinding, and advanced architecture enablement in support of the technology roadmap. Drive end-to-end technology development from concept through validation, including learning vehicles, chara

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-

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pipeline Engineering team at Everpure™ as a Full Stack Software Engineer to build and scale the pipeline visibility layer for FlashArray, FlashBlade, and Hyperscale — the core platform through which engineers and customers understand and act on CI results . In this high-impact position, you will own responsive web interfaces, API gateway architecture, and AI-assisted workflows that convert raw pipeline data into actionable signal, eliminating operational toil across our engineering organization. WHAT YOU'LL DO Build the Pipeline Visibility Layer: Architect and ship high-performance web applications using modern JavaScript/TypeScript frameworks to deliver real-time pipeline status, test results, and failure analytics at enterprise scale. Own Gateway & Backend Services: Develop and operate low-latency API gateways and backend microservices using typed systems languages (such as Go or Rust) to aggregate data across systems, enforce strict multi-tenant boundaries, and maintain reliable system contracts. Deliver Secure Access Controls: Implement robust authentication and authorization protocols (OAuth2/OIDC, SSO, RBAC) to ensure internal teams and external customers experience seamlessly scoped and fully audited access. Integrate AI Triage Workflows: Engineer retrieval-augmented generation (RAG) pipelines and LLM integrations over test metadata and failure logs to automate root-cause summaries, flak