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Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Secure Development team ❤️ OpenZeppelin is the security partner of choice for the most important protocols in Web3. Our Secure Development team sits at the intersection of building and breaking: we design, implement, and harden production-grade libraries and smart contracts for leading projects across EVM, Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, and beyond, often as an embedded extension of the client's engineering team. We work the way the rest of the industry will five years from now. Every developer on the team is a fully AI-native engineer, supported by outstanding internal AI tooling built for every phase of secure development. Developers own their workstreams end-to-end — agents amplify their effectiveness, and peers, security researchers, and external auditors provide rigorous review on every piece of work that ships. The Canton Network engagement This role joins an active 24-month, multi-million-dollar commitment to build the open-source DeFi foundations of the world's most institutional blockchain. You'll deliver production-ready Reference Implementations (privacy-preserving DEX, lending, cross-chain stablecoin settlement, confidential auction launchpad, and more), the OpenZeppelin Contracts Library for Daml that Canton developers will import, and Canton standards implementation. Within this, you will: Own features of the OpenZeppelin Contracts Library for Daml end to end, from design through audit: examples include a Timelock, access control, vaults, or token standard support. Design and implement components of the year-1 Reference Implementations: privacy-preserving DEX, lending protocol, cross-chain stablecoin settlement, and confidential auction launchpad. Implement and shepherd the OZ Daml versions of CIP-56, CIP-86, CIP-103, future CIPs. Coordinate with Digital Asset on spec evolution and with ChainSafe on middleware alignment. Present and defend your designs in technical discussions with Digital Asset, the Canton Foundation, and other partners. Work with OpenZeppelin's security researchers on threat models, audit preparation, and fixes for the components you own. Use AI systems as core daily tools for research, design, implementation, testing, and security work. Build agents, skills, and workflows, and share what works with the team. Contribute developer-experience and security feedback upstream into the Canton protocol, Splice, the Daml SDK, and the Splice Wallet Kernel. Research privacy-preserving DeFi, multi-party authorization patterns, and Canton-specific primitives, and share what you learn with the team. You have Production Daml fluency. You understand templates, choices, controllers/observers/signatories, multi-party authorization, sub-transaction views, and propose/accept patterns as first-class primitives. Running an SV, contributing to Splice internals, governance, or Canton Coin tokenomics. Canton architecture depth. You understand the network, not only the code: the Global Synchronizer and private synchronizers, what each party and synchronizer sees in a transaction, smart contract upgrades, and the token standards (CIP-56, CIP-112). 3+ years of smart contract development in production. This includes hands-on work on Canton or another UTXO-based or privacy-preserving architecture (Cardano, Midnight, Zcash, Aleo, Mina, or similar). You can reason about Canton's privacy boundaries the way an EVM developer reasons about storage slots. Production DeFi experience. You have shipped DeFi primitives such as AMMs, vaults (ERC-4626 or equivalent), lending protocols, or cross-chain settlement, and you understand the security pitfalls of each. You know the standard EVM patterns (access control, token standards, lending pools, DEXs), because many Canton standards reuse them. A security-first mindset. This is non-negotiable. You build secure code by default, you think adversarially about every line you write, and you find vulnerabilities when you review Daml code. We look for a developer with a security mindset, not a security researcher. Published audits, threat models, or disclosures are a plus. An AI-native workflow. Claude Code, Cursor, or equivalent is your daily driver. You know agents, harnesses, and skills, not only autocomplete. You hold AI output to the same standard as a colleague's pull request, and you stay accountable for everything you ship. Fluency in client-facing communication (English) Autonomy and proactivity. Nice to have Cryptography or financial-engineering background. Privacy-preserving DeFi rewards both. Institutional finance and compliance design experience. Credential gates, multi-party attestation, custody flows, capital-markets microstructure, RWA tokenization, settlement. Experience running an SV , contributing to Splice internals, governance, or Canton Coin tokenomics. Cross-chain interoperability exposure. Production work with at least one major cross-chain messaging protocol (Chainlink CCIP, LayerZero, Wormhole, Axelar, or similar). Library / SDK API design taste. You've built reusable, import-first developer libraries, not just applications. You have opinions on extensibility patterns (hooks, modular components, override points) and on what makes an audited primitive pleasant to consume. Experience applying AI to security work. You've already used AI as a serious instrument in security workflows: audit assistance, vulnerability research, fuzzing, invariant or spec analysis, static-analysis augmentation, or similar. Hands-on experience with non-EVM ecosystems. Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, Move-based chains. Open-source contributions to widely-used libraries in the smart-contract or AI-tooling space. Logistics Our interview process is designed to be fast (we target ~30 days from first call to offer) while still giving both sides a clear "yes." The full process consists of: Recruiter interview (30-45 minutes) Manager interview (60 minutes) Team interview (45 minutes) Leadership Interview (30 minutes) Paid technical work trial Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an engineer to drive the evolution of OrioleDB https://www.orioledb.com and its collaboration with the upstream PostgreSQL community. OrioleDB is a next-generation storage engine for PostgreSQL, and this role sits at the intersection of database internals, open source community work, and Supabase's managed Postgres platform. This role requires strong working overlap with Americas time zones due to production support and on-call responsibilities. What you'll work on - New OrioleDB features. Design and implement new capabilities in OrioleDB — for example, native index access methods (GiST, GIN, HNSW for pgvector), disaster recovery tooling, and other storage-engine-level features that expand what OrioleDB can do. - Stability. Strengthen OrioleDB's reliability through deeper test coverage, fault injection, crash and recovery testing, and improvements to CI infrastructure. Ensure regressions are caught early and that OrioleDB behaves predictably under stress, replication, and failure scenarios. - Upstream collaboration. Contribute changes directly to PostgreSQL core. Part of OrioleDB lives as a patch on top of PostgreSQL — moving the right pieces upstream shrinks what we maintain ourselves and benefits the wider community. This happens through PostgreSQL's open development process: the pgsql-hackers mailing list, public code review, and commitfests. - Supabase integration. Work with Supabase's Postgres team to ensure OrioleDB fits naturally into Supabase's managed offering and roadmap. YOU WILL: - Design, implement, and test new OrioleDB features and integrate them cleanly with PostgreSQL's planner, executor, and surrounding subsystems. - Build out and maintain test infrastructure: regression suites, fuzzing, randomized testing, crash and recovery testing, and CI pipelines. - Identify and prepare patches suitable for upstreaming to PostgreSQL core. - Improve performance, resilience, monitoring, and operational tooling for production use. - Debug and resolve complex issues in low-level C code, including in storage, replication, indexing, and query execution paths. - Participate in design discussions, architecture reviews, and code reviews — both inside Supabase and in the PostgreSQL community. - Write clear technical documentation, design notes, and upstream proposals. - Contribute to troubleshooting, analyzing, supporting and maintaining OrioleDB in production deployments. This can include answering support ticket requests, an on-call rotation, and supporting our team members in troubleshooting and fixing live customer production databases. YOU ARE: - An existing PostgreSQL core contributor or have equivalent experience in Database internals. - An expert C programmer with 8+ years of production experience with focus on low-level systems programming - Deeply familiar with PostgreSQL’s codebase, build system, and extension APIs. - Have experience designing or implementing database storage engines, index structures, or query execution components. - Comfortable contributing to community‑driven, upstream open source projects. - Proficient in debugging and profiling complex C code in a database context. - Able to write clear technical documentation and explain design trade‑offs. - A strong communicator, committed to an open and collaborative development process. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Compute https://supabase.com/compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions https://supabase.com/docs/guides/functions service for server-side TypeScript functions distributed globally at the edge. We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code. We are looking for experienced and passionate engineers to help us go further in this vision. WHAT YOU’LL OWN - Help build & architect the Supabase Compute platform, built on Firecracker microVMs. - Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service. - Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements. - Participating in an on-call rotation to keep Compute healthy in production. - Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing. - Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime. - Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners). - Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity. WHAT YOU’LL BRING - At least 5 years of backend or systems engineering experience, with strong fluency in Rust and TypeScript. - Experience with Firecracker, V8 Isolates, Deno, and related runtime isolation technologies . - Experience operating infrastructure at scale — Kubernetes, AWS (EC2/Lambda/MicroVM), Cloudflare Workers, Redis, or comparable systems. - A strong vision for how compute and data can be pushed to the edge. - Bonus: experience building developer-facing CLIs or front-end tooling that sits on top of an infrastructure product. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The DHI Content team builds and maintains Docker Hardened Images: a catalogue of security-hardened system packages, container images and Helm charts designed to be minimal, up to date and safe to use in security-conscious and regulated environments. This is a supply-chain and open-source maintainer role rather than a conventional backend engineering role. You will work across upstream OSS projects, package and image definitions, Helm charts, Kubernetes, integration tests, vulnerability remediation and the controls that prove content is ready to publish. The work is broad by design: customers should be able to select hardened packages and images and, where relevant, deploy them through hardened charts without the pieces drifting apart. We are moving DHI content production towards a machine-first factory. Routine work should begin with a machine-produced change and pass through automated build, test, policy and review controls. Engineers add the most value by handling difficult ecosystems, making security judgements, improving standards and turning repeated human corrections into better tooling. You will use AI-assisted engineering extensively, but remain accountable for the evidence and quality behind every result. As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to close the loop on customer and security outcomes, not only submit individual definition changes. SUCCESS IN THIS ROLE LOOKS LIKE You will succeed by becoming a trusted end-to-end owner for hardened content. Within your first year, you should have delivered complex new or updated DHI content across packages, images and Helm charts, improved the factory or its quality gates, reduced recurring manual work and raised the capability of the engineers around you. _______________________________________________________________________ RESPONSIBILITIES - Author and maintain definitions for hardened system packages and container images, including build steps, upstream tracking, multi-architecture support and reproducibility controls. - Adapt and maintain upstream Helm charts so they work correctly with DHI images under non-root, restricted and production-shaped Kubernetes security constraints. - Track upstream releases, semver patterns, monorepos, dependency chains and breaking changes, then make pragmatic decisions about when to update, patch, pin or deviate. - Triage and remediate vulnerabilities across OS packages, application dependencies, images and charts, including VEX and no-upstream-fix cases that require explicit security judgement. - Write and improve Go-based integration tests, validators and policy checks that prove packages, images and charts behave correctly in real environments. - Review human-authored and machine-authored pull requests against DHI standards, distinguish blocking issues from advice and give contributors a clear path forward. - Improve the DHI Factory by converting repeated work, review corrections and escaped defects into automation, tests, validators and reusable authoring patterns. - Help classify work into deterministic, specialist and judgement paths so people spend time where their expertise changes the outcome. - Partner with Product, Security, Support and customer-facing teams to turn demand and incidents into prioritised content and durable improvements. - Engage constructively with upstream maintainers when hardened deployment requirements expose issues or useful improvements. - Participate in the team's paid on-call rotation and drive learning from customer escalations, failed builds and content defects. - Communicate decisions, risks and progress clearly in a remote, async-first environment. _______________________________________________________________________ QUALIFICATIONS REQUIRED - Strong experience with containers, Linux and Kubernetes in production or production-shaped environments. - Practical experience reading, adapting or maintaining Helm charts and diagnosing how chart templates, values and workload security settings affect deployment behaviour. - Experience maintaining software you did not originate, such as Linux packages, container images, open-source integrations, charts or a comparable downstream distribution. - Strong YAML and configuration-review skills, including care for conventions, consistency and downstream impact across a large catalogue. - Working knowledge of container and Kubernetes security, including non-root execution, UID and GID, capabilities, filesystem restrictions, image layers and multi-architecture builds. - Practical programming ability in Go or a comparable language, sufficient to write and review integration tests, validators and content automation. - Experience tracking upstream releases and reasoning about semver, breaking changes, dependency graphs and reproducible builds. - A maintainer mindset: you catch drift, improve patterns for the next contributor and consider the effect of a change across many downstream consumers. - Familiarity with GitHub-heavy open-source workflows, including pull requests, review, release tracking and upstream contribution. - Comfort using AI-assisted engineering critically while retaining ownership of security assertions, test evidence and release quality. - A strong operational mindset and clear written and spoken communication suited to a remote, async-first company. HELPFUL, BUT NOT REQUIRED - Experience as a maintainer for Alpine, Debian, Fedora, Wolfi, Homebrew or another package ecosystem. - Helm chart authorship or meaningful contribution to an upstream chart. - Experience with SBOMs, VEX, SLSA, Sigstore, cosign, provenance or artefact signing. - Experience with apk, deb, rpm, Go modules, Maven or Gradle, npm, pip, Cargo or other dependency ecosystems. - Experience building automation for package, image or chart creation, validation and release. - Experience with FIPS, FedRAMP, PCI or other regulated and security-conscious environments. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on the DHI catalogue, its package, image and chart definitions, the DHI Factory and the team's definition of done. - Pair across both image and Helm chart work and ship a useful production change. - Learn the build, test, signing, publishing and vulnerability-remediation workflows. - Take part in reviews and an incident, escalation or failed-build learning session. FIRST 90 DAYS - Own a complex image and chart addition or update from upstream analysis through release. - Resolve a meaningful CVE, dependency or compatibility problem with clear evidence and customer impact in mind. - Improve at least one factory control, integration test, validator or reusable content pattern. - Review across artefact types and help another engineer take on a broader piece of work. ONE YEAR OUTLOOK (FIRST YEAR) - Be a trusted senior owner across hardened packages, images and Helm charts. - Deliver material catalogue growth or quality improvements without increasing human effort linearly with demand. - Reduce recurring manual work by moving a class of changes into a proven automated path. - Improve DHI's security posture, content availability and release reliability for customers. - Raise review quality and grow the team's ability to work across artefact and dependency ecosystems. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$210,627 – CA$341,690 base United States: $154,600 – $250,800 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Reports to: Director, Manufacturing and Sourcing The Role At Nex, we move fast. This role upstream sourcing strategy and execution for critical ICs / memory (e.g., SoC, camera modules, memory). Partner with principals to secure design/development support, allocation, pricing, and Nex-preferred contracts . Ensure cost competitiveness, supply continuity, and resilience as we scale Playground hardware globally. At Nex, we move fast. This role upstream sourcing strategy and execution for critical ICs/memory (e.g., SoC, camera modules, memory). Partner with principals to secure design/development support, allocation, pricing, and Nex-preferred contracts . Ensure cost competitiveness, supply continuity, and resilience as we scale Playground hardware globally. What You'll Do Upstream Partnerships, Pricing & Forecasting Build and manage strategic supplier relationships for assigned commodities. Drive pricing strategy, negotiations, and locked-in commercial terms (cost models, should-cost, allocation guarantees). Establish forecasting cadence with internal stakeholders and suppliers; translate demand signals into supply plans. Drive alignment on lead times, MOQs, allocation strategy, and upside planning. Supply Resilience & AVL Management Build and maintain an Approved Vendor List (AVL) for critical components. Plan and execute dual-sourcing / second-source qualification, including risk assessments and readiness gates. Identify critical point-of-failure risks and implement mitigation plans (supply, capacity, geopolitical, and quality risks). Core Component Strategy (SoC / Camera / Memory) Shape commodity strategy and supplier selection recommendations for core technologies (e.g., SoC, camera, memory). Collaborate with engineering and quality on supplier capability assessment, qualification planning, and change control. Track roadmaps and ensure sourcing decisions support product performance, cost, and schedule. Allocation & Execution Secure priority allocation during shortages; manage lead times and supply ramps. Track supplier KPIs (OTD, yield, quality); drive continuous cost/efficiency improvements. What You Bring Bachelor's in Supply Chain, Engineering, or Business (Master's preferred). 5–10+ years sourcing / supplier management in consumer electronics / hardware; IC / memory / SoC experience essential. Proven commercial negotiation, cost analysis, and multi-sourcing track record. Cross-functional collaboration with engineering/operations in fast-paced settings. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring multiple positions from early-career engineers to experienced architects focused on the different dimensions of dependable software: cybersecurity, quality, and safety. What does it take to bring the world’s open source software into mission-critical systems? At Canonical, we are driving the engineering discipline needed to build secure, reliable, and high-quality products that our automotive and industrial partners can depend on. Ubuntu is already the world’s most widely used Linux distribution in general; we want to make it the world’s best choice for the automotive and industrial sectors too. We operate at the boundary between upstream open source innovation and the industrial regulatory realities. Our engineers define the concepts, architectures, processes, verification strategies, and certification artifacts to transform a general-purpose platform into a dependable, certifiable foundation for automotive and industrial compute. This is systems-level engineering at scale, requiring precision, rigor, and a deep understanding of how complex software behaves in constrained, regulated environments. We are looking for engineers and architects who combine an open source hacker and builder mindset with respect for rigorous, standards-driven engineering. You will work across Canonical engineering teams and with leading industrial partners, helping to build this capability from the ground up and shaping how open source enters the most demanding technical domains. Location : This is a remote role based in the EMEA region. The role entails Translate automotive and industrial cybersecurity, quality and safety standards into actionable engineering requirements and perform gap analyses against current capabilities. Drive the creation of structured engineering artifacts, including requirements, traceability models, risk analysis, test strategies, and certification documentation. Collaborate with Canonical engineering teams to align development practices with industrial compliance needs. Design, implement, and execute verification and validation activities required to qualify Ubuntu and other components for regulated environments. Develop and improve automation and tooling to scale traceability, testing, compliance evidence generation, and reporting. Engage with industrial partners to understand their expectations, align external expectations and internal capabilities, and support audits and technical reviews. Contribute to the continuous improvement of Canonical’s internal processes and standards capability as the team scales. What we are looking for in you Strong software engineering foundation with experience in developing complex systems on Linux. Professional experience with C, C++, and Python in production environments. Demonstrated experience working within automotive, industrial, or other regulated environments governed by safety, cybersecurity, or quality standards (such as ISO 26262, ISO/SAE 21434, IEC 61508, IEC 62443, SOTIF, or (A)SPICE), and applying them in practice. Experience in system or software architecture, implementation, or verification and validation of complex embedded systems. Strong written and verbal communication skills, with the ability to produce precise technical documentation. Ability to collaborate effectively in a distributed team and engage with industrial partners. Additional experience that is valuable Contributions to open source projects, particularly in the area of Software Defined Vehicles. Knowledge of Debian packaging. Experience with Rust or safety-critical software development. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal-opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration .

Location: Raleigh, NC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Charlotte, NC Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United Kingdom Workplace: Remote BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS MANEUVER MARKETING Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products. In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs. These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore. This is just the beginning of our journey, and you could be part of the next stage of our growth! YOUR NEXT ROLE We are looking for a highly skilled and ambitious Growth Strategist with at least 3 years of experience, managing at least $1M per month in ad spend to join our team. Today, the role of a Senior Media Buyer has evolved into a Growth Strategist - it’s no longer enough to work inside ad accounts - effective marketing requires critical thinking, conducting deep research, translating insights into ideas, and taking those ideas through implementation. Of course, you cannot do this alone. As a Growth Strategist at Maneuver, you will lead a product marketing team comprising a copywriter, creative strategist, designer, and media buyer to grow 2 flagship products. You’ll meet with fellow Growth Strategists to exchange ideas and best practices regularly. The product marketing team is supported by cross-functional teams: (a) Influencer & Partnerships, (b) Videos, (c) Marketplaces, (d) Measurement, (e) Retention, (f) Other Channels (e.g. AppLovin, Google), and (g) Tech - all of which are essential to grow a product to $100M+ a year profitably. As such, the best candidates have a track record of building something from scratch and demonstrate strong resourcefulness to overcome challenges and explore uncharted territory. WHAT YOU’LL DO STRATEGIC GROWTH PLANNING & OPPORTUNITY DISCOVERY You’ll own the development and iteration of Meta-led growth strategies grounded in first principles, real-world data, and deep DTC competitive intelligence. - Identify bottlenecks and opportunities through structured root-cause analysis across creative, media, offer, funnel, and product positioning. - Systematically uncover under-tapped or untapped opportunities by reverse-engineering winning DTC products and offers across Google Search, Amazon, Shopify, Meta, YouTube, and adjacent channels. - Analyze why products sell well (positioning, mechanism, claims, pricing, bundles, merchandising, distribution) and map those learnings to Maneuver’s products to unlock new markets, angles, and growth paths. - Prioritize high-leverage initiatives that balance short-term profitability with long-term strategic breakthroughs (new positioning, new audiences, new use cases). - Act with urgency to gather new signals, test hypotheses, and adapt strategy in-market. - Ruthlessly focus team energy on the highest-ROI initiatives that move core business metrics. DEEP MARKET & CUSTOMER RESEARCH You’ll lead a continuous discovery process that directly informs positioning, creative direction, funnel strategy, and media execution. - Conduct social listening across Facebook Groups, Reddit, TikTok, Pinterest, reviews, and UGC ecosystems to surface pains, unmet needs, objections, and language patterns. - Dive into product‑level inputs (clinical studies, ingredient claims, AOV/LTV trends, customer reviews, refunds, CX tickets) to sharpen value propositions and positioning. - Run deep competitive audits using tools such as Meta Ad Library, Atria, Transparency Center, VidTao, Google Search, and Amazon to identify messaging gaps, offer structures, and creative patterns. - Triangulate qualitative and quantitative insights into clear strategic actions that unlock growth. MEDIA STRATEGY Design and manage high-performance Meta ad systems that balance testing discipline with scalable performance. - Architect account structures, naming conventions, and testing frameworks for clean data capture and fast learning. - Execute and evolve bid strategies (Cost Cap, minROAS, Bid Cap, Highest Volume, Accelerated Bid Cap) based on signal quality, scale phase, and business context. - Build creative testing matrices and scale frameworks (ABO/CBO/ASC setups, budget ramps, funnel staging, whitelisting). - Ensure delivery systems and media execution align tightly with strategic hypotheses and growth objectives. CREATIVE STRATEGY & MESSAGING ARCHITECTURE You’ll provide a bird’s eye view of the creative and messaging ecosystem, ensuring alignment across teams and funnel stages. - Co-own the high‑level creative roadmap across TOF / MOF / BOF / Buyer stages with the copywriter and creative strategist - Map current messaging by awareness level and sophistication, identifying gaps, redundancies, and misalignment. - Assess whether ads, offers, and funnels are congruent with the intended messaging strategy at each stage. - Co‑own messaging architecture with the copywriter and creative strategist, helping segment and prioritize messaging buckets such as, but not limited to: - Authority / expert‑led - Founder / brand story - Mechanism‑led education - Objection handling - Social proof & validation - Use in‑market performance signals to continuously refine angles and creative direction. FUNNEL STRATEGY, CRO & PROJECT OWNERSHIP You’ll own funnel strategy, CRO direction, and end‑to‑end project execution. - Identify funnel bottlenecks and CRO opportunities in partnership with media buyers, creative strategists, and copywriters. - Define what should change and why (structure, messaging emphasis, flow, offer presentation), and translate that into clear briefs for copywriters and designers. - Collaborate with tech team members to implement changes once copy and mock‑ups are finalized. - Own projects end‑to‑end: scoping, prioritization, implementation, QA, launch, and post‑launch monitoring. - Ensure tight feedback loops post‑launch, with media buyers monitoring test performance and providing analysis to inform next iterations. COLLABORATION You’ll act as the connective tissue between strategy, media, creative, CRO, and cross‑functional partners. - Provide high‑signal strategic and CRO briefs aligned on performance goals and compliance considerations. - Partner closely with creative strategists, copywriters, and designers to ensure creative execution reinforces strategy. - Collaborate tightly with media buyers on test design, optimization feedback, and learning agendas. - Bring awareness to upstream partners (tech, supply chain, CX, retention) early to de‑risk initiatives and accelerate execution. - Build a high‑ownership culture with clear rituals, accountability, and feedback systems. DATA FLUENCY & PERFORMANCE OPTIMIZATION You’ll turn data into decisions and ensure learning compounds over time. - Design and interpret measurement frameworks (incrementality tests, attribution rules, holdouts) to guide investment decisions. - Read metric pairs (CTR vs CVR, ROAS vs MER, AOV vs CAC) to isolate constraints and form clear hypotheses. - Run regular performance cadences, documenting learnings and driving decisive pivots based on thresholds. - Think in numbers—tracking CAC, ROAS, AOV, LTV, and confidently making ROI‑based calls in real time. HOW YOU’LL SUCCEED Maneuver is an OKRs, KPIs & data-driven company, we are not Mad Men (Well, not all), but Math Men. As a result, a number of metrics will constitute the basis of your performance and success within this role and the company: - New customer sales and revenue, measuring Meta’s impact across all distribution channels - Advertising efficiency in terms of return on ad spend - New marketing capabilities built with significant positive ROI WHAT YOU BRING - At least 3 to 7 years of relevant experience working with DTC brands as a media buyer / Growth Strategist. - Strong “builder” desire - we built our brand to 9 figures in revenue profitably with ~30 full-time employees and this would not have happened without a strong work ethic and a mission-driven culture. We aim to build the brand to 10 figures by the end of the decade, and this requires a strong sense of commitment to build something together with like-minded people. - Strong analytical skills - ability to work with data, analyze metrics as a system, and understand the right marketing levers to improve results and performance. - Persuasion skills - Some experience in direct response copywriting and persuasion principles - including but not limited to Robert Cialdini, Dan Kennedy, Eugene Schwartz, Gary Halbert, etc. - Strong media buying skills - experience managing at least $30-100K a day in ad budget profitably with deep performance marketing skillsets. - Strong project management skills - ability to identify outcomes, develop plans, and implement initiatives to achieve the outcomes, while iterating along the way with real-time data and feedback to improve the plan and execution. The ability to stay on top of multiple initiatives at one time, without sacrificing quality, is valuable - Strong project coordination skills - ability to work with multiple partners, both inside and outside of the organization, while keeping projects running smoothly and according to timelines - Other important soft skills - resourcefulness, organization, independent, problem-solver - Other important hard skills - interest in creative performance and testing, persuasion, and general marketing skills WORK ARRANGEMENT - This is a full-time position with a remote work arrangement - We work Monday to Friday, 10am to 7pm SGT (GMT+8) and you will be required to coordinate with the team for at least 3 overlap hours a day in the SGT timezone - Preferably time zones are between GMT and GMT+2.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together. You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective. You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.   RESPONSIBILITIES - Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems. - Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals. - Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate. - Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows. - GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off. - Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency. QUALIFICATIONS - Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code. - GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs. - Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously. - 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations New York, NY Washington, DC San Francisco, CA About the Role Cloudflare’s architecture is built on a homogeneous edge: every server in over 330 cities runs every service—from L4/L7 proxies (FL2, Pingora) and DNS to the Workers runtime, cache, and storage. While this design maximizes hardware utilization, it creates a difficult distributed attribution problem. Machine-level telemetry tells us how loaded a server is, but not which product, customer, or upstream service is responsible for that load. MAPS (Metrics and Analytics for Product Segmentation) is a newly formed team building the core instrumentation, collection, and data platform to solve this from the ground up. We are architecting a system to continuously measure CPU, network bandwidth, memory, and storage utilization across the entire global fleet without sampling—attributing resource consumption both to the underlying system service and to the specific product, account, and zone being served. The data MAPS produces serves two critical functions at Cloudflare: Real-Time Control Plane: MAPS is the primary telemetry input for Cloudflare’s next-generation global load balancer, shifting traffic management from open-loop heuristics to closed-loop routing driven by real-time, per-service resource capacity and consumption (within seconds). Fleet Economics & Capacity Planning: MAPS provides the long-term analytical dataset in ClickHouse used to map product demand forecasts to physical hardware requirements, calculate true cost-to-serve per product, and drive multi-year infrastructure investments. What You’ll Do You will work across the full lifecycle of a greenfield, high-throughput telemetry system running on every machine at the Cloudflare edge: Host-Level Instrumentation ("Outside View"): Build and maintain low-overhead Linux daemons (netacctd, maps_collector) in Rust and C that use eBPF (cgroup_skb) and cgroup v2 accounting to measure per-service resource consumption directly from the kernel. High-Performance Client Libraries ("Inside View"): Architect non-blocking, zero-allocation reporting SDKs in Rust and Go used by Cloudflare’s highest-throughput data-plane services to report per-request resource usage and product attribution over local Unix domain sockets. Edge Aggregation & Streaming: Build the per-machine collector daemon that ingests millions of events per second, performs bounded in-memory time-window aggregation, serves low-latency gRPC streams to the global load balancer, and flushes batch rollups to ClickHouse. Reconciliation & Correctness: Solve complex attribution problems—such as reconciling kernel-level cgroup measurements against application-reported metrics, and attributing resource usage when one multi-tenant service executes work on behalf of another. Cross-Team Architecture: Partner directly with the engineering teams behind Cloudflare’s core proxies, runtimes, and storage engines to instrument their critical paths without degrading tail latency. What We’re Looking For Strong systems programming experience in Rust, Go, or C, with a solid grasp of memory layout, concurrency, and performance-critical code paths. Experience designing and operating latency- and resource-sensitive server infrastructure or high-throughput data pipelines at scale. Strong fundamentals in Linux systems internals—processes, cgroups, sockets, and how the kernel accounts for compute, memory, and I/O. Proven ability to work across organizational boundaries: reading unfamiliar codebases, aligning with other infrastructure teams, and driving complex integrations to completion. A pragmatic approach to owning outcomes—from kernel-level data collection and wire protocols (protobuf/Cap'n Proto) all the way to the analytical tables consumers query. Bonus Points Hands-on experience writing and verifying eBPF programs, or deep familiarity with the Linux networking stack and scheduler. Experience designing schemas and query patterns for distributed columnar databases (particularly ClickHouse) at high ingestion rates. Background in profiling, benchmarking, and debugging performance bottlenecks in production Linux environments (perf, PMU counters, flamegraphs). What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Ubuntu Engineering teams build the operating system platform used by millions of developers, enterprises, device makers, cloud providers, and open source communities worldwide. Location: We have remote roles open in every time zone. About the team The Ubuntu Foundations Package Management team , as part of the broader Ubuntu Foundations organisation, develops and maintains the software management infrastructure that underpins every Ubuntu system. The team owns technologies at the heart of Ubuntu's software, driver, firmware, and upgrade experience, including APT, dpkg, firmware management, and driver management. Its mission is to provide the technologies that enable Ubuntu systems to be installed, maintained, updated, upgraded, and managed throughout their lifecycle. The team balances innovation with the stability and reliability expected from one of the world's most widely used Linux distributions. The team works across the full engineering lifecycle, from roadmap definition and architecture through implementation, testing, release engineering, and upstream collaboration, ensuring the continued evolution of the technologies that manage software, drivers, firmware, and upgrades across Ubuntu systems. The Role We are looking for a Software Engineering Manager to lead the Ubuntu Foundations Package Management team . This is a technical leadership role combining people management with active engineering involvement. You will lead a team of experienced engineers responsible for the package management and system lifecycle technologies that underpin Ubuntu. Working closely with stakeholders across Ubuntu Engineering, you will define technical direction, grow engineering talent, build strong cross-team partnerships, and ensure the continued evolution of Ubuntu's software, driver, firmware, and upgrade experience. You will report to the Ubuntu Foundations Engineering director  and collaborate closely with other Ubuntu Engineering teams, including Desktop, Server, Security, Release Engineering, Launchpad, Debcrafters, OEM, and Product. What You’ll Do Technical Leadership Define the technical vision and roadmap for Ubuntu's package management and system lifecycle platform Participate in design reviews and key technical decisions affecting software management and system lifecycle technologies across the Ubuntu ecosystem Promote high standards for performance, reliability, security, and maintainability Team Leadership Lead and support a team of engineers responsible for key Ubuntu platform technologies. Mentor and grow engineers, helping them expand their technical leadership, ownership, and organizational impact Foster a culture of ownership, collaboration, and continuous improvement Delivery and Engineering Excellence Plan and deliver improvements across multiple Ubuntu release cycles Balance innovation with stability, compatibility, and long-term maintainability Improve test automation, release quality, and operational reliability Collaboration and Community Build strong partnerships across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product teams Collaborate with Debian, upstream projects, and the Ubuntu open source community What We Are Looking For Required An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Strong background in software engineering and system design Experience leading engineering teams, including people management, coaching, and performance development Experience developing or operating Linux distribution technologies, package management systems, or software distribution infrastructure Strong understanding of systems software and operating system architecture Excellent written and verbal communication skills Ability to work effectively in a globally distributed engineering team Ability to travel twice a year, for company events up to two weeks each Nice to Have Familiarity with package repositories, archives, or release engineering processes Experience contributing to Debian, Ubuntu, or other open source infrastructure projects Performance, reliability, or security engineering experience We know that strong candidates may not meet every qualification. If you are excited by this role and our mission, we encourage you to apply. What Success Looks Like First 3 Months Build strong relationships with the team and stakeholders across Ubuntu Engineering Gain a deep understanding of Ubuntu package management, update flows, archive interactions, and release processes Identify key improvement opportunities in reliability, test coverage, engineering processes, and product quality First 6 to 12 Months Establish strong partnerships with stakeholders across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product Grow the team and raise the overall level of engineering excellence, ownership, and technical leadership Improve roadmap clarity, planning, and execution across the team's portfolio Deliver meaningful improvements to Ubuntu's package management and system lifecycle platform What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Can set technical direction for a team, not just execute within it Have deep experience with at least one of: Strong proficiency in programming languages like Python, Go, Java, or similar Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) Can navigate complex technical tradeoffs between performance, cost, security, and maintainability Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: Experience with security and compliance requirements (ITGC, GDPR, financial controls) Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure Experience with Kubernetes, containerization, and cloud-native architectures Track record of improving data reliability, availability, or cost efficiency at scale Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks Experience working in fintech, financial services, or highly regulated environments Security engineering background with focus on data protection and access controls Technologies We Use: Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran Storage: GCS, S3 Infrastructure: Terraform, Kubernetes, GCP, AWS Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Baku, Azerbaijan The Senior Process Engineer is responsible for leading process engineering activities for oil & gas projects across all phases, from FEED through detailed engineering and commissioning. The role requires strong technical expertise, hands-on project execution experience, and solid knowledge of GCC regulatory and operational standards. Key Responsibilities Lead process engineering design for oil & gas facilities (onshore/offshore) Develop and review process design basis, PFDs, P&IDs, and process calculations Perform simulations, heat & material balance, and equipment sizing Ensure compliance with international codes, standards, and GCC client requirements Participate in HAZID, HAZOP, SIL, and design review studies Coordinate with piping, mechanical, electrical, instrumentation, and civil teams Review vendor documents and provide technical clarifications Support construction, commissioning, and start-up activities Mentor junior process engineers and provide technical guidance Qualifications & Experience Bachelor’s degree in Chemical Engineering or equivalent Minimum 15+ years of overall process engineering experience in oil & gas At least 5 years of oil & gas project experience within the GCC region Strong experience working in EPC / PMC environments Technical Skills Process simulation tools (HYSYS, Aspen Plus, UniSim, etc.) Strong knowledge of oil & gas process systems and unit operations Familiarity with international codes and standards (API, ASME, ISO) Experience in refineries, gas processing, LNG, or upstream facilities

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organization -  leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams. This leadership track includes roles for Managers and Senior Managers . At Canonical, managers are expected to stay technical and close to the code as well as the processes and people around them. Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are the Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are: Leading their teams in elevating the Linux developer and user experience Designing, building and shipping high quality, performant software in Rust, Go and Python Demonstrating sound engineering principles through architecture, development and code reviews Taking responsibility for planning, estimation and execution Working with product management to define the vision and strategy for Ubuntu Setting expectations with other engineering teams, senior management, and external stakeholders Offering coaching, mentoring, technical feedback and hands-on career development Contributing to upstream and neighboring open source projects Authoring and improving technical and community documentation What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Ability to drive and deliver technical work streams going above and beyond expectations Lead and coach others to deliver exceptional engineering work A demonstrated passion for open source software Significant experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Experience managing technical teams Experience contributing to or leading open source projects Experience with Linux distributions/distribution engineering Experience with software packaging and distribution mechanisms Performance or Security Engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.