Remote Remote Remote Remote Remote Remote Staff Data Engineer Data Infrastructure in United States

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. We are hiring a Staff Security Engineer, Threat Detection for our Security team. This is a fully remote role open to candidates across the United States. As Snowflake scales globally, we are investing heavily in AI-powered threat detection and response to protect our customers and our environment at cloud scale. This role helps enhance and extend the reach of Snowflake's Threat Detection Program, with AI and automation as core primitives in how we detect, triage, and respond to threats. You will combine deep security expertise with strong engineering skills to build, maintain, and evolve detections and the pipelines that support them, partnering with stakeholders across Security and Engineering to make informed, data-driven decisions grounded in threat models, proactive threat hunts, and exploration of logs and telemetry. AS A STAFF SECURITY ENGINEER, THREAT DETECTION AT SNOWFLAKE, YOU WILL: Develop and deploy detections using modern engineering practices (testing and validation, CI/CD pipelines, detections as code, and a full detection development lifecycle), spanning both rules-based and AI-assisted detections. Mature our threat detection program by analyzing coverage gaps and mitigating risks through detective controls, experimenting with AI/ML approaches where they impr

ABOUT THE TEAM The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually. YOUR MISSION You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences. Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB. WHAT YOU'LL DO Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy Champion engineering excellence, men

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. ​​This role can be based out of our US offices or remotely in the North America region. Candidate Profile 10+ years of experience in data management systems, distributed systems, or large-scale backend engineering Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems Position Expectations Innovate in the area of flexible schema d

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build new user-facing features with everything from database models to GraphQL resolvers and UI components Optimize our data synchronization stack by applying better serialization protocols Add real-time collaborative editing to our content editor Improve performance by profiling and tweaking virtualized list rendering Add analytics, monitoring, and alerts to our service so that we can better respond to operational incidents Open-source any non-trivial innovations that come out of our work on the product Redefine best-in-class software development processes so that we can build a purpose-built product. What we're looking for 5+ years of experience building customer-facing products at a high-quality software company Strong React and Typ

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level product manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor Help engineers and designers deeply understand user needs, empowering them to make great product decisions Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for 6+ years e

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Engineering Manager for the Agent Execution group , you'll lead more than 10 engineers who build foundations for AI agents to run safely and effectively across GitLab. You'll give the group clarity, remove obstacles, and help teams move quickly while protecting what matters. You'll contribute to design reviews on sandboxing and agent observability, work alongside staff engineers, and use modern AI coding tools and agent harnesses in your work. What you’ll do Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering, with each team anchored by a s

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. NOTE: This position is US - Remote Eligible, but includes monthly in-person working sessions at the San Francisco Airbnb office. The Community You Will Join: Research has been part of Airbnb from the beginning, ever since Paul Graham told the Airbnb founders, "go to your users." As designers, the founders embraced this advice and got on a plane to meet with Airbnb hosts that very weekend. Since those early days, the value of research has been baked into Airbnb’s product culture. The Difference You Will Make: We're building our newest incubation work stream, and we're looking for a Staff UX Researcher who is equally strong in qualitative and quantitative methods. You'll be one of the first researchers on the ground for a 0-to-1 effort, which means the questions aren't defined yet, the roadmap will change, and your research will shape both. You'll know when to run fast to unblock a decision and when to go deep to get it right, while bringing senior stakeholders along the way. A Typical Day: Own end-to-end research for new incubation areas, from framing the questions to landing the recommendations. Utilize appropriate qualitative and quantitative methods to deliver fast, actionable insights. Triangulate across data sources and past learnings to get to the right signals in an ambiguous, fast-moving space. Balance speed and rigor: deliver quick reads when the team needs to move, and deeper studies when a decision warrants it, without sacrificing quality. Partner closely with cross-functional teams including Product, Design, Business Operations, and Data Science to shape strategy from research insights. 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 . As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. What you'll do: Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus Mentor engineers on AI system design techniques, coding standards, and production-

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

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues an

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team GoDaddy is hiring a Staff Software Engineer to help define and scale our Internal Developer Platform —a centralized system that powers how engineers across the company build, deploy, and operate software. This platform is used by 1,000+ engineers to manage everything from cloud infrastructure and application lifecycle to security, compliance, and cost transparency. In this role, you’ll operate as a technical leader at platform scale, shaping the architecture and direction of systems that directly impact engineering velocity across the company. You’ll work on high-impact initiatives such as AI-powered developer tooling, next-generation API platforms, and the evolution of a unified developer experience spanning APIs, CLI, and UI. This is a high-ownership, high-visibility role where Staff Engineers drive decisions, influence product direction, and partner across infrastructure, security, and platform teams. If you’re motivated by building systems that improve how other engineers work—and want to have a measurable impact on developer productivity at scale—this team sits at the center of GoDaddy’s engineering ecosystem. What You’ll Get to Do... Design and build platform services that power GoDaddy’s internal developer ecosystem, used by 1,000+ engineers. Lead architecture and technical direction for high-scale APIs, infrastructure orchestration,

We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Excep

About Runway Runway is a collaborative business planning platform designed to make business intuitively understandable for everyone. Our Mission : To make business accessible and understandable to everyone. We believe that teams that understand the “why” behind their work are more productive and make better decisions. True alignment and collaboration come from having a shared source of truth that everyone understands. Our Approach : Runway replaces traditional spreadsheets with a modern planning platform that brings clarity and context to business operations for all teams — not just finance. Just as Figma made design accessible across the organization, Runway does the same for business planning. Why It Matters: Understanding requires more than just access to numbers; real collaboration happens when teams see how their work fits into the bigger picture. By providing this context, Runway helps teams save time and move faster. Our Customers : World-class companies like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR rely on Runway to run their businesses more efficiently. Our Investors : We are supported by a select group of investors that we admire, including Garry Tan (YC & Initialized), a16z, Elad Gil, Naval Ravikant, Dylan Field (founder of Figma), Eric Ries, Claire Hughes Johnson (COO of Stripe), Henry Ward (founder of Carta), Akshay Kothari (COO of Notion), Eugene Wei, Lenny Rachitsky, Nikita Bier, Scott Belsky, Soleio Cuervo, Balaji Srinivasan, and many others. Working at Runway We're remote-first, so you can work from anywhere in North America. We strive to be clear in our communication and over-communicate by default. It’s early in our journey, so you'll have an opportunity to shape not just our product, but the company itself: how we work together, what makes us stand out, and who we hire. Below are the values we share as a team — if these resonate with you, you may enjoy working here. (And if you don't like them, please t