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Location: Greenwich DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team DRW C/FICCO Front Office Systems team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role Software Engineers in Front Office Systems operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (C++, Python, Typescript) Provide on-call support as needed Qualifications: Up to 7 years of experience using C++ and Python and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Remote - Global fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You are an experienced software engineer who is passionate about building large-scale computing platforms. You have experience building systems that remain reliable under high traffic, partial failures, and changing capacity. You know how to deliver reliability, performance, and scale with minimum operational load. WHAT YOU'LL DO: - Take ownership of one or more of the Rust/Python systems that power our AI inference and large-scale GPU computing platform - Design for 100x growth in workloads and GPU capacity, with reliable, low-latency execution across the globe - Use AI aggressively to accelerate development and automate repetitive operations, alerting, and recovery You will specialize in one or more of these critical areas: - Request routing and queuing on a global scale - App deployment and autoscaling - Worker orchestration and placement - GPU fleet autoscaling and capacity management - GPU fleet lifecycle automation: provisioning, diagnostics & recovery, upgrades, tracking - Global file storage, caching and distribution - Global IP backbone: private networking across datacenters, elastic public IPs, ACLs/firewalls, private connectivity - Workload execution: containerization, globally distributed filesystems, RAM/VRAM snapshotting QUALIFICATIONS/NICE TO HAVE: - 3+ years building and operating large-scale production systems, with a track record of reliability and scale - Strong Rust and/or Python skills - Strong systems fundamentals, with technical depth relevant to your specialization: distributed coordination, scheduling, fault tolerance, Linux, networking, storage, or capacity management - Experience building and using observability to drive performance and reliability decisions - Clear communication, sound technical judgment, and the initiative to move quickly, drive decisions across teams, and own systems from design through production - Multi-tenant compute platforms, AI inference or training infrastructure, GPU workload scheduling - High-performance systems programming: async runtimes, zero-copy, memory-safe concurrency - Linux systems engineering and fleet automation: configuration management, kernel and driver debugging, safe upgrades, and automated recovery - Distributed filesystems like JuiceFS and Lustre - Experience with Nvidia/AMD GPU infrastructure; DCGM, NVLink, RDMA, InfiniBand/RoCEv2 - Global networking and routing: BGP, ECMP, tunnels, eBPF, Geneve WHAT WE OFFER AT FAL: - Interesting and challenging work - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Mexico; Colombia; Argentina; Brazil; Costa Rica Our client engineers and manufactures modular infrastructure supporting backup power systems, data centers, and industrial facilities. These platforms integrate generators, cooling systems, exhaust systems, structural enclosures, and electrical infrastructure into prefabricated power modules designed for standby power, microgrids, and mission-critical applications. Position Overview We are seeking a Senior Mechanical Engineer to lead the mechanical design of modular generator systems. This role focuses on the integration and packaging of diesel or gas generator equipment, cooling systems, exhaust systems, and structural frames into factory-built modular power platforms. The engineer will work closely with electrical engineering, manufacturing, and integration teams to deliver production-ready generator modules designed for reliability, serviceability, and efficient manufacturing. Requirements Design generator enclosures, equipment skids, and structural steel frames supporting large engine-driven power systems Package engines, alternators, radiators, exhaust systems, and associated mechanical equipment within modular enclosures Perform structural analysis of heavy equipment mounting structures, lifting frames, and transport loads Design ventilation and airflow systems supporting generator cooling and heat rejection Conduct CFD or airflow analysis to validate cooling performance and thermal management Develop manufacturable weldments, sheet metal assemblies, and structural components Design service access, maintenance pathways, and equipment layout for field operations Coordinate mechanical systems with electrical switchgear, control panels, and cable routing zones Support prototype builds, testing, and manufacturing integration of generator platforms Lead root cause investigations related to vibration, structural behavior, or thermal performance Required Qualifications Bachelor’s degree in Mechanical Engineering 7+ years of experience in mechanical design for industrial equipment, power systems, or heavy machinery Strong experience designing structural steel assemblies and heavy equipment packaging Proficiency with SolidWorks for large assemblies and mechanical system integration Experience with airflow, cooling, or thermal analysis for industrial equipment Preferred Qualifications Experience with generator systems or engine-driven power equipment Experience designing modular or containerized industrial systems Familiarity with standby power infrastructure , including data centers or critical facilities Experience supporting prototype builds and manufacturing environments Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Argentina; Colombia; Costa Rica; Brazil We are looking for a Senior Electrical Engineer to lead the design of electrical systems for modular generator power platforms used in data centers, industrial infrastructure, and utility backup power applications. In this role, you will design power distribution architecture, generator control systems, and paralleling switchgear that enable reliable standby and prime power generation. You will collaborate with mechanical engineering, manufacturing, and integration teams to deliver production-ready generator modules. This position is ideal for engineers experienced in power systems, generator integration, and industrial electrical design . Requirements Design electrical systems for modular generator power platforms Develop single line diagrams, wiring schematics, and electrical layouts Integrate generators with switchgear, transfer switches, protection systems, and distribution equipment Design and support generator synchronization and load sharing systems Develop monitoring and control systems for generator operation Define grounding strategies and protection coordination for generator power systems Coordinate electrical design with mechanical packaging and modular enclosure systems Support commissioning, testing, and system validation of generator power systems Produce production-ready electrical documentation supporting manufacturing and deployment Required Qualifications Bachelor’s degree in Electrical Engineering 8+ years of experience in electrical power systems or generator electrical design Strong experience with electrical distribution systems and protection devices Experience developing electrical schematics, wiring diagrams, and control systems Experience working with industrial power equipment or generator systems Preferred Qualifications Experience with standby power systems or data center backup power Experience integrating generator controls and paralleling switchgear Experience with microgrid or hybrid power systems Experience supporting commissioning and testing of generator power systems Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Argentina; Colombia; Costa Rica; Panama Company Overview Our client designs and manufactures modular energy infrastructure supporting battery energy storage, power generation, and modular data centers. Their systems integrate batteries, inverters, transformers, and electrical distribution equipment into factory-built platforms deployed for utility-scale and commercial energy projects. Position Overview We are seeking a Senior Electrical Engineer to lead the electrical design and architecture of Battery Energy Storage Systems (BESS) . This role is responsible for developing electrical distribution systems, protection schemes, and equipment integration for modular energy platforms that combine battery systems, inverters, transformers, and monitoring infrastructure. The engineer will collaborate closely with mechanical, manufacturing, and integration teams to deliver production-ready systems. Requirements Design electrical architectures for BESS platforms including AC and DC power distribution systems . Develop single line diagrams, wiring diagrams, electrical schematics, and cable schedules . Integrate battery systems, battery management systems (BMS), PCS inverters, transformers, and switchgear . Define grounding strategies, protection schemes, and isolation methods for high-power electrical systems. Develop monitoring, alarm, and shutdown logic to ensure safe and reliable battery operation. Coordinate electrical design with mechanical layouts and enclosure constraints . Support commissioning, factory acceptance testing (FAT), and troubleshooting of energy storage systems. Produce production-ready electrical documentation supporting manufacturing and system integration. Required Qualifications Bachelor’s degree in Electrical Engineering . 8+ years of experience designing industrial electrical systems or power infrastructure. Experience with power distribution systems, protection systems, and electrical schematics . Experience integrating equipment such as inverters, transformers, switchgear, or energy storage systems . Strong experience developing technical documentation for engineering and manufacturing . Preferred Qualifications Experience working with Battery Energy Storage Systems (BESS) or microgrid power systems . Familiarity with UL 9540, UL 1741, or similar energy storage safety standards . Experience integrating SCADA, EMS, or energy monitoring systems . Previous experience supporting renewable energy, data center power infrastructure, or large industrial power systems . Additional Requirements Previous experience working with U.S.-based engineering teams is valued . Fluent English communication skills (spoken and written). Ability to present a portfolio of relevant engineering projects , ideally including energy infrastructure or power systems. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Colombia; Brazil; Costa Rica; Peru Overview A growing engineering and manufacturing organization is seeking a Senior Electrical Engineer to lead the electrical design of modular generator power systems. These systems support mission-critical infrastructure including data centers, utilities, and industrial facilities. This role focuses on designing generator electrical architecture, integrating switchgear and protection systems, and developing electrical documentation required for manufacturing and system deployment. The engineer will collaborate with multidisciplinary engineering teams to deliver reliable, production-ready modular power platforms. Requirements Design electrical systems for generator power modules including power distribution and control systems Develop single line diagrams, electrical schematics, and wiring documentation Integrate generators with switchgear, transfer switches, and protection systems Design generator synchronization and load sharing solutions Develop monitoring and control architectures for generator operation Create grounding strategies and protection coordination for power systems Support commissioning and factory testing of generator power modules Coordinate electrical design with mechanical enclosure and packaging teams Produce electrical documentation supporting manufacturing and deployment Required Qualifications Bachelor’s degree in Electrical Engineering 8+ years of experience in electrical power system design Experience with electrical distribution systems and protection devices Experience developing industrial control systems and electrical schematics Strong understanding of generator-based power systems Preferred Qualifications Experience with standby power systems or data center backup power infrastructure Experience integrating generator controls and paralleling switchgear Exposure to microgrid or hybrid power system architectures Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico; Colombia; Argentina; Chile; Brazil We are looking for a Senior Electrical Engineer with strong experience in mission-critical power systems to support the design and development of advanced infrastructure projects, including data centers, generator plants, and battery energy storage systems (BESS) . This role involves working closely with U.S.-based engineering teams on the design and integration of complex electrical systems that ensure high reliability, redundancy, and energy efficiency . Key Responsibilities Design and support electrical power systems for data center infrastructure , including medium-voltage distribution, switchgear, transformers, and UPS systems. Support the integration of large generator plants used for backup power in mission-critical environments. Contribute to the design and implementation of Battery Energy Storage Systems (BESS) , including battery systems, inverters, and energy management systems. Coordinate electrical system layouts and equipment integration with multidisciplinary engineering teams. Review electrical drawings, specifications, and technical documentation to ensure compliance with project requirements and industry standards. Participate in technical discussions, design reviews, and coordination meetings with U.S.-based teams. Requirements Electrical Engineering degree 8+ years of professional experience Proven experience working on data center electrical infrastructure Experience with backup power systems and generator integration Exposure to Battery Energy Storage Systems (BESS) or large-scale energy storage projects Strong knowledge of medium-voltage electrical systems, switchgear, transformers, and protection systems Previous experience working on U.S.-based engineering projects is highly valued Fluent English communication skills Nice to Have Experience working with hyperscale data center projects Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico City, Mexico; Colombia; Argentina; Costa Rica; Peru We are seeking a Mechanical Engineer with strong experience in piping and cooling systems to support the design and development of modular data center infrastructure . This role focuses on engineering water-based cooling systems and piping networks that support mission-critical data center environments. The ideal candidate may come from a Mechanical Engineering, Piping Engineering, or Process Engineering background , with solid experience designing fluid systems, cooling loops, and piping layouts for industrial or data center projects. Key Responsibilities Design and develop piping systems for water-based cooling solutions in modular data centers Support the engineering of water tank cooling systems and cooling distribution networks Prepare piping layouts, system diagrams, and technical documentation Collaborate with multidisciplinary teams to integrate mechanical systems into modular data center units Ensure systems meet performance, reliability, and operational requirements for mission-critical facilities Requirements Degree in Mechanical Engineering or related field Strong experience with piping and cooling systems design Experience in data centers or industrial cooling systems Previous experience working with the U.S. market is valued Fluency in English is mandatory Ability to present a portfolio including data center projects Strong communication skills and ability to collaborate with international teams Nice to Have Experience with modular data centers or prefabricated infrastructure systems Experience designing water tank cooling systems or chilled water systems Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are looking for experienced Software Engineers to join our team, which develops the distributed aspects of the Neo4j database. The team is responsible for ensuring the data in our native graph database is replicated consistently across systems while maintaining high query performance. The work is critical for our enterprise customers, who expect our database to provide high availability, horizontal scalability, and deployment flexibility. We’re particularly excited to hear from people who have developed and maintained complex distributed systems before, who have experienced some of their pain points and design trade-offs firsthand. Your contributions will be deployed in production environments around the world, vital to the varied and demanding use cases of our customers in financial services, pharmaceuticals, communications, and, more recently, in LLM context graphs. What the work is like: The day-to-day work spans a wide range of the database stack, from low-level systems programming (concurrency, networking and storage) to higher-level development of distributed control planes where predictability and stability are vital. We have a development culture focused on good system design. The systems we build have to handle failing servers, unstable networks, and query overloads. As such, we take the time to architect for quality and correctness. Apart from coding features, you’ll also work with support engineers to track down tough bugs, with SREs to support our database as a service offering, and with product managers to design new features. You’ll also spend time learning and experimenting, specialising in topics that help grow yourself and the team. Some examples of our current specialisations include cloud-native architectures, networking, and distributed consensus algorithms. What you'll bring: Ability to work independently within a flexible software development organisation Ability to communicate clearly about complex topics. Desire to work collaboratively on difficult problems and features. Experience of distributed systems through usage, administration or development. Experience with, or a strong interest in learning, modern, high-performance, concurrent Java programming. Nice to have: Experience building stateful distributed systems (such as databases, message brokers or stream processing systems) Experience of distributed systems through usage, administration or development. Experience working with orchestration systems, such as Kubernetes. Existing knowledge of Java programming, the Java ecosystem or JVM internals. Experience with working on large code bases. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Global (Remote) Workplace: Remote DECISION SYSTEMS ARCHITECT Team: Product Location: Flexible / Remote Reporting to: Product Leadership ROLE OVERVIEW Sena is designed to translate complex business intent into decision-grade outputs at scale. The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge. This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement. KEY RESPONSIBILITIES The Decision Systems Architect is responsible for: - Designing and refining decision frameworks that guide how Sena interprets customer intent - Defining signal mapping logic that structures how business questions are decomposed into actionable signals - Establishing configuration schemas that specify how data must be captured to support decision-grade outputs - Creating evaluation criteria and quality standards used to assess system outputs - Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic - Producing structured artifacts that directly inform Product and AI development workflows - Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena All work in this role is expected to be system-oriented, reusable, and extensible. ROLE IMPACT AND GROWTH This role contributes to Sena’s evolution as new business problems, customer objectives, and data environments emerge. As the system’s capabilities expand, the focus of this role naturally shifts toward: - New classes of customer questions - New signal types and constraints - More complex decision structures and tradeoffs - Higher-order reasoning patterns that have not yet been formalized This role remains at the frontier of decision design as the product evolves. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong systems thinking and the ability to formalize complex reasoning - Experience designing frameworks, methodologies, or structured decision logic - The ability to translate ambiguous problems into clear, explicit structures - Comfort working in highly autonomous, fast-moving environments - Intellectual curiosity and a willingness to challenge established methods Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work. CULTURAL FIT We value people who: - Take initiative and operate with high ownership - Produce high output with limited resources - Prefer autonomy and accountability - Are inventive and comfortable rejecting outdated approaches - Are deeply focused and driven by hard problems This role is best suited for individuals who enjoy building foundational systems and pushing the boundaries of what software can reason about. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to structure and reason through ambiguous problems - The clarity, generalizability, and technical rigor of the frameworks they design - How effectively their thinking can be translated into system-level logic - The quality and rigor of their judgment under real-world constraints - Their ability to independently design, execute, and iterate on decision frameworks We prioritize demonstrated capability and depth of thinking over resumes alone. SUMMARY The Decision Systems Architect helps define how Sena thinks as it continues to expand across new domains and use cases. This role is central to shaping the system’s long-term decision intelligence and is designed for individuals who want to work at the intersection of reasoning, systems, and product design.

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: Home based - EMEA Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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 an Engineering Director , who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business. The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers. The Billing team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems. The Contracts team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system. The Livepatch team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches. Location : This role will be based remotely in the EMEA region. The role entails Leading multiple teams of engineers, ranging from graduates to seniors Developing your engineering managers to maintain Canonical culture in their teams Developing and evangelize great engineering practices and processes in the teams Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams Identifying and measuring indicators of team health, and take action where needed Being accountable for the product development roadmaps in the teams Being an active part of the Commercial Systems leadership team, collaborating with other leaders Expanding your teams by hiring great talent Collaborating with stakeholders and product users What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations Track record of going above-and-beyond expectations to achieve outstanding results Professional written and spoken English with excellent presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long Nice-to-have skills Performance engineering and DevOps/SRE experience Experience with accounting, sales, sales operations, or other business roles 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 or commission. 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 Program 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. #LI-remote

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates Müller's Solutions is seeking an experienced Senior SAS & Credit Risk Systems Administrator to join our innovative team. In this role, you will be pivotal in managing and optimizing the SAS environment and overseeing credit risk systems, ensuring robust analytics and reporting capabilities that drive strategic decision-making. As a Senior Administrator, you will work closely with data analysts and risk management teams to support and enhance SAS applications, ensuring high system availability and optimized performance. Your expertise will help the organization navigate complex credit risk assessments and reporting requirements effectively. Key Responsibilities: Administer and maintain SAS software and credit risk systems, ensuring optimal functionality and performance. Oversee installation, updates, and configuration of SAS applications and related infrastructure. Provide technical support and troubleshoot issues related to SAS and credit risk systems. Collaborate with business users and data analysts to gather requirements and deliver effective SAS solutions for credit risk analytics. Monitor system performance and implement enhancements to meet evolving business needs. Develop and maintain documentation for systems administration procedures, processes, and standards. Ensure compliance with data governance policies, industry regulations, and best practices. Requirements 5+ years of experience in SAS administration and credit risk systems management. Strong understanding of credit risk frameworks, analytics, and reporting processes. In-depth knowledge of managing and operating SAS Analytics and Moody’s CreditLens systems. Minimum of 5 years of experience in SAS development and automation. Ability to read logs and analyze performance to proactively identify issues. Experience in report preparation . Familiarity with best practices in SAS Analytics and Moody’s CreditLens, including applying updates without impacting current operations. Must be fluent in Arabic . Hands-on experience with SAS software installation, configuration, and maintenance. Proficiency in scripting and automation to streamline SAS processes. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Relevant certifications related to SAS or risk management are a plus. Personal Skills: Strong analytical and organizational skills to understand business requirements and implement appropriate solutions. Effective communication skills with technical teams and end users. Training skills to guide users in efficiently utilizing different modules. Educational Qualifications: Bachelor’s degree in Computer Science , Software Engineering , or any related field. Specialized certification in developing or managing SAS Analytics or Moody’s CreditLens platform. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for a Trading Systems Engineer , to join our Cumberland team. In this role you’ll have an opportunity to employ your extensive skills while helping solve complex technical problems. You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with counterparties, exchanges, traders and developers to iron out any problems that arise. What you’ll be working on: •    Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. •    Maintaining the health and availability of a world class trading eco-system with a goal of minimizing downtime •    Responding to support requests from our traders and software engineers •    Liaising with external trading partners, such as financial exchanges and clearing firms, to resolve technical problem •    Collaborate with traders, DBAs, development, back office, QA, infrastructure, technical support, business development and various management teams around the globe to ensure continuity and consistency of support in a 24x7 environment •    Build documentation for common procedures, troubleshooting scenarios and system architecture You will be right at home if you: •    Have 2+ years working in the financial industry •    Have a Bachelor’s degree in STEM or related field •    Have exposure to VCS, particularly Git/Github •    Have demonstrated scripting abilities in Python and Bash •    Are comfortable with SQL •    Are comfortable with Linux and the command-line •    Have a service-oriented mindset •    Have experience with proprietary trading systems and troubleshooting production incidents resulting from internal (proprietary software / systems) or external factors (markets, data feeds, telecommunication lines) •    Are someone who thrives in high-pressure situations while working alongside traders, developers and other engineering teams •    Have experience developing proprietary process automation and monitoring tools to streamline software configuration and rollout procedures •    Are tenacious in solving complex technical problems •    Are passionate about high quality work and relentlessly pursue continuous improvement •    Have strong oral and written communication skills •    Actively pursue personal and professional growth For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-MM1

Location: Home Based - Americas 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 a System Software Engineer for GCC/LLVM compiler, tooling, and ecosystem We are building a team to focus on the modern C and C++ programming language and their ecosystem on Ubuntu. They will deliver the best possible GCC and LLVM runtimes, developer experience and supporting tooling in Ubuntu. They will  ensure that the cutting edge of modern programming languages innovation is available to Ubuntu users, to lay the foundation for future inventions and open source communities. This is an exciting opportunity for a software engineer with a strong passion for compilers, runtimes and tool chains. You will have excellent competencies in modern C/C++, Linux distributions, software architectures and  open source software.  Come build a rewarding, meaningful career working with the best and brightest people in open source technology at Canonical, a growing international software company and make Ubuntu the best operating system to develop and run C/C++ applications in the cloud, in datacenters, in containers, directly on the operating system, and anywhere Ubuntu can run. The Ubuntu Foundations Team delivers the core Ubuntu system, the base for the entire Ubuntu family of products and services. Ubuntu strives to deliver the latest-best free software components, in an easy to use and highly reliable form. We build on the technical excellence of keystone open source software like GNU and Debian and bring additional focus and shape to the solutions we offer the industry. Part of the Ubuntu Foundations team, you will work on one of the most critical toolchains involved in the making of Ubuntu and the pillars of the modern software ecosystem. You will leverage your competencies and experience  in C, C++ to make Ubuntu the best platform to develop, distribute and consume software built with GCC and LLVM. You will be passionate about the future of C, C++, of Ubuntu, mindful of the dynamics of the open-source ecosystem, and equally aware of the needs of large but innovative organizations. You will drive the best in class integration in Ubuntu from desktop to cloud in a secure, reliable, performing, efficient and future-proof fashion. You will be discussing design with other team members , mentor less senior engineers, and participate in code reviews and design reviews. You will also be working with other teams to ensure architecture decisions improve the overall performance and experience of Ubuntu. Your role as part of the Ubuntu Foundations team will have an impact on every aspect of Ubuntu from Desktop, Server, Ubuntu Core and also cloud images. Location: This role will be based remotely in the AMERICAS region 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 engineers are: Collaborate proactively with a distributed team Select, integrate and package best-of-breed tooling with Ubuntu to improve developer and operator experience with GCC and LLVM Write high-quality code to create new features Debug issues and produce high-quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions Work from home with global travel 2 to 4 weeks a year for internal and external events What we are looking for in you You have relevant GCC or LLVM experience, ideally in the world of cloud-native software and Linux You have experience in packaging software for Debian and Ubuntu You are a long-time Linux user Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path You love technology and working with brilliant people You are passionate, curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated Ability to travel internationally twice a year for company events up to two weeks long Nice-to-have skills Experience with Linux distributions and distribution engineering Experience with software packaging and distribution mechanisms Understanding of build systems and toolchains, including for cross-compilation 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 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 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 Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams   WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist   WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most.   COMPENSATION $205,760 - $315,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most. COMPENSATION $205,760 - $315,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai