Вакансии

Location: Remote, EMEA 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 experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. - Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. - Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. - Ask smart, targeted questions that turn incomplete reports into actionable cases. - Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. - Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. - Mentor junior team members and help raise the overall bar for support quality. YOU MIGHT BE A GOOD FIT IF - Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. - Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. - Performance: You’re strong in high-performance SQL and query optimization. - Troubleshooting: You’re comfortable troubleshooting complex setups, including multi-tenant schema patterns and distributed system behavior. - Technical Skills: * You can debug Edge Functions when failures get tricky. - You’ve handled data migration issues (pg_dump/restore, schema drift, failed migrations) and know how to recover safely. - You have hands-on experience with cloud hosting providers like AWS. - You’re comfortable in terminal and Linux environments. - Mindset: You thrive in high-volume situations and can form and test assumptions quickly. TIMEZONES & LOGISTICS - Status: Full-time position. - Location: Required residency/location within EMEA time zones (we do not believe in the sustainability of overnight shifts). 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.

Зарплата не указана

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 experienced Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. - Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and offer tailored advice to our most advanced users. - Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid reproduction steps. - Ask smart, targeted questions that turn incomplete reports into actionable cases. - Communicate clearly and empathetically with users of all levels—especially during high-impact or time-sensitive situations. - Spot patterns across tickets and recommend improvements to documentation, tooling, and the product itself. - Mentor junior team members and help raise the overall bar for support quality. YOU MIGHT BE A GOOD FIT IF - Experience: You have 7+ years in technical support, databases, backend engineering, SRE, or a similar field. - Postgres Expertise: You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. - Performance: You’re strong in high-performance SQL and query optimization. - Troubleshooting: You’re comfortable troubleshooting complex setups, including multi-tenant schema patterns. - Distributed Systems: You can debug edge functions and understand distributed system behavior when failures get tricky. - Data Integrity: You’ve handled data migration issues (pg_dump/restore, schema drift, failed migrations) and know how to recover safely. - Cloud Infrastructure: You have hands-on experience with cloud hosting providers like AWS. - Technical Environment: You’re comfortable in terminal and Linux environments. - Mindset: You thrive in high-volume situations and can form/test assumptions quickly. TIMEZONES & LOGISTICS - Role: Full-time position. - Location: Required residence in North or South American time zones (we do not believe in the sustainability of overnight shifts). 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to  improve Figma’s products. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems Build evaluation systems to measure and improve quality of AI features in Figma products We'd love to hear from you if you have: Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) Experience communicating and working across functions to drive solutions While not required, It’s an added plus if you also have: Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision Experience in mentoring/influencing senior engineers across organizations Expertise working on large scale and distributed AI training At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: - Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. - Develop and apply statistical methods to evaluate the quality and reliability of datasets. - Analyse and assess the generalisability and robustness of ML systems across diverse use cases. - Collaborate with teams to improve dataset quality and model performance. - Train and fine-tune large language models (LLMs) on distributed training infrastructures. - Conduct experiments to evaluate model performance and identify areas for improvement. Qualifications: - Extremely strong software engineering skills. - Strong expertise in designing and conducting data collection tasks, including working with human annotators. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on experience training large language models (LLMs) on distributed training infrastructures. - Familiarity with evaluating and improving the generalisability and robustness of ML systems. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Excellent communication skills to collaborate effectively with cross-functional teams and present findings. - One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Home Based - Americas We are looking for enterprise sales people based in LATAM and fluent in Spanish. Colombia is currently the highest priority. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual bookings quota within their assigned territory. They should be able to travel regionally for client engagement, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness, to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open roles in every region. What your day will look like Represent the company, its solutions and software, in your territory Build and execute a territory plan to prioritize outreach and prospecting Develop new pipeline through outreach, prospecting, local marketing, and industry events Close contracts to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Manage customer relationships and interactions through all stages of the sales cycle Work with field engineers to propose solutions that solve our customers’ business problems Work with customer success to identify growth opportunities Maintain accurate pipeline data and forecasts within Salesforce Establish productive professional relationships with key influencers and decision makers What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Experience of open source technology and solutions Detail oriented with effective follow-up Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. 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 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 fully distributed 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. #LI-remote

Location: Home based - Worldwide We are looking for Telecom account executives with particular interest in these markets: Middle East, DACH region, Nordics, Eastern Europe, USA. For these roles, it is also preferable to be fluent in the local language. Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual bookings quota within their assigned territory. They should be able to travel regionally for client engagement, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness, to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open roles in every region. What your day will look like Represent the company, its solutions and software, in your territory Build and execute a territory plan to prioritize outreach and prospecting Develop new pipeline through outreach, prospecting, local marketing, and industry events Close contracts to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Manage customer relationships and interactions through all stages of the sales cycle Work with field engineers to propose solutions that solve our customers’ business problems Work with customer success to identify growth opportunities Maintain accurate pipeline data and forecasts within Salesforce Establish productive professional relationships with key influencers and decision makers What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Experience of open source technology and solutions Detail oriented with effective follow-up Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. 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 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 fully distributed 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. #LI-remote

Location: 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. _______________________________________________________________________ We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems. You will own systems end-to-end—from schema design and API architecture to deployment, observability, and operational excellence. The work is highly dynamic, and you will operate in a fast-paced environment where we continuously evolve the platform to support enormous growth in traffic, data, and global usage. You’ll collaborate across engineering, SRE, Product, and Design while acting as a technical leader who simplifies complexity, elevates engineering quality, and improves a globally critical developer platform. If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you. RESPONSIBILITIES Distributed Systems & Backend Engineering - Architect, build, and operate high-scale distributed systems powering Docker Hub’s registry platform—spanning artifact storage, metadata services, indexing workflows, and performance-critical APIs. - Lead the design and implementation of backend services with a strong emphasis on scalability, correctness, resilience, and performance. - Drive major initiatives around multi-region replication, caching strategies, request-path optimization, and core registry reliability. Data Infrastructure & Storage - Design, optimize, operate the data and storage layers - for both Relational and NoSql as well as object storage and related technologies. - Develop schemas and data models to support high-throughput, large-volume workloads. - Own systems end-to-end—from storage-layer behavior to API design, deployment workflows, and production monitoring. Operations, Observability & Scale - Improve the performance and reliability of one of the world’s largest repositories of container images. - Develop and enhance observability through metrics, traces, alerting, and dashboards. - Lead improvements to deployment and operational tooling (e.g., Argo CD, GitHub Actions). - Participate in on-call rotations as part of supporting critical production services. Leadership & Collaboration - Mentor engineers and lead design and architecture reviews. - Partner with Product, Design, SRE, and Platform teams to deliver high-impact projects. - Engage with open-source communities, cloud-native partners, and the broader ecosystem. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS Required - 8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures. - Strong production experience with Golang, including designing and operating large Go-based services in cloud environments. - Strong production experience with Kubernetes, including operating services at scale. - Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production. - Experience building and operating cloud-based services (AWS preferred). - Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent. - Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability. - Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Nice to Have - Experience with OCI registries, artifact stores, or large-scale content distribution systems. - Familiarity with search/indexing systems or metadata-rich architectures. - Contributions to cloud-native or open-source ecosystems. WHAT WE’RE LOOKING FOR - An engineer with deep experience in distributed systems and large-scale storage - Someone who thrives in a fast-paced environment and consistently optimizes for reliability, automation, and performance. - A technical leader who takes ownership of complex systems and drives long-term architectural direction. - An engineer energised by the challenges of operating a global developer platform at massive scale. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ 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: Home Based - Americas Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We are profitable and growing our global enterprise sales organisation. We are hiring a regional sales renewal team manager in North America to lead the renewals team in the region. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and over $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. In building our sales team, we look for five things: Empathy for the customer - a real understanding of customer needs, industry-specific challenges, and a desire to help customers solve their business problems High intellect - the ability to learn quickly, understand very complex subjects, and communicate clearly to build trust and confidence Passion for technology - a fascination with the state of the art from brilliant people solving hard problems, and fierce competition for large prizes Teamwork - a willingness to help others, to collaborate well with people from different disciplines, and to balance personal and team ambitions Energy - the drive to motivate oneself and others to achieve the best result for the team and our customers Ubuntu is already very widely adopted which gives us a credible basis for conversations in the market. Nevertheless, it requires real work for sales professionals to build on that adoption to create trusted and profitable commercial relationships with the enterprises in their territory. Our product managers and marketing teams run campaigns to generate awareness, engagement and leads, but you will need to go beyond managing inbound interest to develop the potential of your territory. You will need judgement as to which industries and companies are ready to go deeper with open source and Canonical, and energy to develop relationships in advance of proven interest. We expect professional practice, territory and account planning, as well as clear, complete and continuous reporting on pipeline status and activity, using standard professional tools. The successful candidate will carry an annual team bookings quota within their territory. They should be able to travel regionally for client engagements or, industry conferences, and internationally for company events twice a year. They will be expected to demonstrate professionalism and effectiveness in managing their team. They will need to coach, mentor and lead by example. Their sales representatives are expected to prospect accounts for new business, maintain and develop existing relationships, and work with colleagues and partners on account strategy. They must be comfortable selling enterprise software, open source, cloud, virtualization, container technologies and technical software solutions to senior levels of the enterprise. Location: We are expanding our sales organisation globally and have open sales team manager roles in every region. What your day will look like Build and execute a territory plan to prioritize outreach and prospecting Allocate portions of territory and accounts to sales representatives on your team Identify and prioritise new logo accounts in your territory for account-based marketing and prospecting Ensure that sales representatives have high quality account plans for existing accounts and priority prospects Monitor new pipeline development by your team, through outreach, prospecting, local marketing, and industry events Support contract closure to meet and exceed quarterly and annual bookings targets Be mindful and proactive in achieving tactical and strategic objectives Work with customer success to identify growth opportunities Ensure your team maintain accurate pipeline data and forecasts within Salesforce Represent the company, its solutions and software What we are looking for in you Bachelor's level degree, preferably in engineering or computer science Leadership and management skill Experience of open source technology and solutions Detail oriented with effective planning, organisation and reporting skill Experience in enterprise software or technology sales planning and execution Track record of achievement in sales targets and new account wins Self-discipline and motivation to be successful in a distributed team Professional written and spoken English, as well as any language that may be appropriate for your target market Ability to travel for customer engagements, industry events and company events Additional skills of interest Specific vertical experience, in particular finance, telco, health, energy, public sector, tech Experience speaking at conferences or industry events What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven commission structure. 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 meetings 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 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 fully distributed 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. #LI-remote

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Billing is a full stack engineering group automating revenue workflows and building end-to-end payment and billing capabilities for all of Figma’s customers, from two-person teams to the Fortune 500. Our work is essential for Figma's continuous growth and innovation, playing a key role in each new product launch. We’re looking for an experienced and accomplished engineering leader to join us in our mission to scale Figma’s business while upholding the quality and craft our users love. Your team will be responsible for key areas such as checkout, invoicing, customer lifecycle, pricing and packaging, metered billing, and subscription lifecycle management. You’ll partner closely with Accounting, Product, Design, Data, Marketing, and GTM to chart the course for these features and use them to help Figma’s customers access everything Figma has to offer and budget for future expansion. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Partner with Product and Design to build and execute a long-term roadmap that delivers a world-class user experience Work closely with cross-functional partners and engineering teams to creatively solve complex problems Hire, manage, support, and develop a team of engineers, including staff level engineers Establish trust within and across teams by creating accountability and a positive work environment in partnership with other organizational leaders Grow your career within an engaged and creative engineering community Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to help drive these initiatives through hiring, community events, and cross-functional programs across Figma We’d love to hear from you if you have: 4+ years of experience hiring and leading teams as an engineering manager Ability to think strategically about engineering and product roadmaps, on both short and longer term time horizons Demonstrates rigorous thinking and effective decision-making in cross-functional environments Experience with billing, SaaS monetization and/or payments infrastructure While it’s not required, it’s an added plus if you also have: Strong product sense, with a demonstrated history of developing elegant solutions to complex problems Experience thriving in collaborative, cross-team settings Proven success in building and leading a geographically distributed team, effectively managing members across various time zones and locations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: We’re looking for a senior engineer to help build, maintain and evolve the training framework that powers our frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure. You will design and maintain the core components that enable fast, reliable, and scalable model training — and build the tooling that connects research ideas to thousands of GPUs. If you enjoy working across the full stack of ML systems, this role gives you the opportunity and autonomy to have massive impact by working on projects such as: - Building a high-performance data loading and caching pipeline. - Implementing performance profiling across the ML systems stack - Developing internal metrics and monitoring for training runs. - Building reproducibility and regression testing infrastructure. - Developing a performant fault-tolerant distributed checkpointing system. Key Responsibilities: - Build and own the training framework responsible for large-scale LLM training. - Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing). - Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100). - Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics. - Collaborate closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training. - Investigate and resolve performance bottlenecks across the ML systems stack. - Build robust systems that ensure reproducible, debuggable, large-scale runs. Qualifications: - Strong engineering experience in large-scale distributed training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. - Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). - Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. - Experience working with containerized environments (Docker, Singularity/Apptainer). - A track record of building tools that increase developer velocity for ML teams. - Excellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability. - Strong collaboration skills — you’ll work closely with infra, research, and deployment teams. Any of the following would also be good to have for this role: - Experience with training LLMs or other large transformer architectures. - Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.). - Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches). - Experience with data pipeline optimization, sharded datasets, or caching strategies. - Background in performance engineering, profiling, or low-level systems. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Home Based - Americas; Home Based - APAC; 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. Canonical’s Partner Engineering Team is looking for open-source enthusiasts to work across the full Linux stack to ensure new silicon technologies, such as new hardware accelerators, AI stacks, confidential computing, networking, virtualization, and containerization stacks, are optimized for new silicons. Partner Engineering works closely with worldwide silicon companies to optimize Ubuntu for their new silicon, from x86, ARM, RISC-V, PowerPC and s390x architectures. Location: This is a Globally remote role The role entails Collaborating proactively within a distributed team Fostering a software ecosystem with seamless user experience for all Ubuntu users Evaluating contributions of other engineers to maintain high-quality software standards. Playing a role in shaping the future of Ubuntu via both - new ideas in your areas of interest and advising on work being done elsewhere Collaborating with other teams in the Ubuntu and Debian communities, with upstream projects, and commercially supported customers Debugging issues on open source code and team maintained code. Helping our our customers to integrate their apps, SDKs, build OS images, optimize applications with Ubuntu Core, Desktop and Server Working with a team to maintain Ubuntu, silicon features, and silicon-optimized packages across platforms and technologies such as: Servers, HPC and AI systems, IoT devices, PCs, SmartNICs and automotive systems AI stacks Graphics, audio and multimedia stacks Virtualisation and Containers Hardware enablement stacks New architectures, architecture variants and optimized toolchains Package management and dependencies Platform security (secure boot, FDE, Ubuntu Core, Confidential Computing) Work from home with global travel 2 to 4 weeks for internal events 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 You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You value building partnerships with a diverse set of internal and external groups Strong fundamentals in C, C++ and Python Experience or interest in learning Linux distribution packaging Experience or Interest in open source maintenance or contribution and licenses Fundamental understanding of package management and dependency resolution Additional skills that you might also bring Experience with one or more of the following: Graphics, audio, or multimedia stacks Virtualization and containers (Docker, OCI, Kubernetes) Hardware enablement for platforms and devices, including SmartNICs, NVMe storage, GPUs, audio components, and sensors Performance optimization Toolchain development and maintenance Networking protocols and technologies (TCP/IP, DHCP, HTTP/REST) Security best practices IoT and embedded systems, including board-level hardware, SoCs, BMCs, bootloaders, firmware, operating systems, applications, and services 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 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 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.​ 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: Home based - Worldwide This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. We are rapidly expanding the range of open source solutions we offer and deliver to customers, as we move into new industries like telco, finance, health care and media we design and develop new open source solutions to meet their needs. We believe that Engineering Managers should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result. The role of a Cloud Field Engineering Manager at Canonical The Field Engineering team is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc.  The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process. A Cloud Field Engineering Manager is responsible for line management and career guidance. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals. Location: This role will be home based, managing a team in your time zone. What your day will look like Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services Solve customer problems by promoting our technologies and being a trusted advisor Work remotely in a single major time zone Coach, mentor, and offer career development feedback Identify and measure team health indicators Implement disciplined engineering processes Represent your team and product to stakeholders, partners, and customers Develop and evangelise great engineering and organisational practices Plan and manage progress on agreed goals and projects Be an active part of the leadership team, collaborating with other leaders What we are looking for in you Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. Practical knowledge of Linux and networking Experience in technical presales You are a dynamic person who loves to jump in new projects and interact with people Excellent verbal and written communication skills in English Passion and a track record of developing and growing people Experience in leading, coaching and mentoring engineers Organised and able to ensure your team delivers timely, high quality results An exceptional academic track record from high school and, preferably, university as well Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings. Additional skills that you might also bring Second language - Spanish or French preferred Python knowledge Experience collaborating with external partners Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps 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 recognise 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 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others 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: Seattle, WA; San Francisco Bay Area 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. _______________________________________________________________________ Docker’s AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. Our flagship product, the MCP Gateway, empowers developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production. We’re defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments. We’re looking for a Principal Backend Engineer who thrives at the intersection of AI, security, and developer experience. You’ll lead the technical direction of the Gateway and related services, collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use. This is a high-velocity, high-ownership environment: you’ll ship fast, iterate constantly, and help shape the future of secure agent-based development. RESPONSIBILITIES: - Define the technical solution for a new product - Help shape the product with peers in Product and Design - Mentor other technical team members - Be the technical point of contact for the team - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS: REQUIRED: - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Technical leadership across multiple teams or domains, with a proven ability to drive architectural vision, set technical direction, and influence long-term product strategy. - Exceptional product and platform mindset—you think beyond implementation details to how technology shapes developer and business outcomes. - Expertise in designing and evolving large-scale, cloud-native systems, with deep knowledge of distributed computing, service-oriented architecture, and performance optimization. - Demonstrated experience building secure, resilient, and high-throughput backend services, with a strong grasp of reliability engineering principles (SLOs, observability, incident response). - Fluency in Go (preferred) or another modern systems language (Rust, Java, C++, etc.), with the ability to lead technical design reviews and mentor others in language-specific best practices. - Strong grasp of software engineering fundamentals—CI/CD, testing strategy, source control, and deployment automation—applied in complex, multi-service environments. - Proven track record of technical mentorship and cross-functional collaboration, enabling teams to deliver high-impact, high-quality software efficiently. - Deep experience with major cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tooling. - Ownership mentality with a bias for action and iterative delivery, balancing short-term impact with long-term architectural health. - Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. - Comfortable operating autonomously in distributed, remote-first teams, and leading through influence rather than authority. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. BONUS: - Experience with Kubernetes, Docker, and microservices architecture - Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification WHAT TO EXPECT FIRST 30 DAYS: - Meet team members - Build context about the problem space and prior art - Provide feedback on current exploration and propose next steps in line with Product and Design FIRST 90 DAYS: - Work with Product and Design on defining the product - Attend customer calls - Meet people across the company - Help grow the team by participating in hiring loops ONE YEAR OUTLOOK (FIRST YEAR): - Bring the product to market Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $198K – $319K + equity ______________________________________________________________________ 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: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to accelerate our ambitions further and bring the magic of Linear to even more and larger companies. As an Account Executive at Linear, you’ll contribute to the future of our product and help high-impact companies build better software. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase - Generate a strong pipeline and exceed quarterly targets - Build relationships with key stakeholders within accounts - Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team What we're looking for - 3+ years in a quota-carrying sales role - Experience selling to a technical audience; bonus if you have previous experience working with a collaboration or developer tool - SaaS and startup experience; comfortable working and adapting in a fast-paced and flexible environment - Strong written and verbal communication, presentation, and product demonstration skills What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Canada; Toronto Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia and the government. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Key Responsibilities: - Design, build and scale agentic AI systems for serving mission critical use cases. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. - Execute across the full AI stack and ship products to serve public interest. Qualifications: - Canadian citizenship and eligibility for security clearance (required for this role). - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks. - Experience training, evaluating, and using (as an end-user) LLMs. - Experience using large-scale distributed (GPU) LLM training strategies. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Qualifications: - Significant experience developing high-performance audio or machine learning inference systems. - Proficiency with programming languages such as C++ and Python. - Hands-on experience with deep learning models for audio, speech, or language applications. - A bias for action and a strong results-oriented mindset. It is a big plus if you also have considerable experience with: - GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs - Have experience with duplex real-time streaming architectures. - Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries). - Have experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems - Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization Working location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including: - model architecture and MoE routing optimization - decoding and inference-time algorithm improvements - software/hardware co-design for GPU acceleration - performance optimization without compromising model quality Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Key Responsibilities: As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. Qualifications: - Have a PhD in Machine Learning or a related field - Understand LLM architecture, and how to optimize LLM inference given resource constraints - Have significant experience with one or more techniques that enhance model efficiency - Strong software engineering skills - An appetite to work in a fast-paced high-ambiguity start-up environment - Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS) - Passion to mentor others Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Job Responsibilities: As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Qualifications: - 5+ years of experience writing high-performance, production-quality code - Strong programming skills in C++ or Python (Rust/Go also welcome) - Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) - Ability to diagnose and resolve performance bottlenecks across the model execution stack - A strong bias for action — you ship fast, measure impact, and iterate It’s a big plus if you have experience with: - GPU programming, CUDA, or low-level systems optimization - Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) - Scaling performance-critical distributed systems (e.g., computation, search, storage) Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.