Location: Riyadh, Saudi Arabia
Müller's Solutions is on the lookout for a creative and skilled Multimedia & Graphic Designer to join our talented design team. In this role, you will be responsible for producing visual content that effectively communicates our brand message and enhances the overall user experience across various platforms. Your creativity and technical expertise will help shape the visual identity of our products.
As a Multimedia & Graphic Designer, you will collaborate closely with marketing, product, and web development teams to create engaging graphics, videos, animations, and other multimedia content. You will have the opportunity to work on a diverse range of projects, from branding and promotional materials to user interface graphics and digital media.
Responsibilities:
Design and produce high-quality graphics, illustrations, and multimedia content for online and offline use.
Develop engaging layouts and visual designs that align with brand guidelines and marketing strategies.
Create animations and motion graphics for various digital platforms, including websites and social media.
Collaborate with different teams to understand project requirements and deliver creative solutions that meet their needs.
Stay updated on the latest design trends, tools, and technologies to keep our content fresh and relevant.
Manage and organize design files and assets, ensuring proper documentation and storage.
Review and edit designs based on feedback from stakeholders and team members.
Requirements
Requirements:
Bachelor's degree in Graphic Design, Multimedia Arts, or a related field.
Proven experience as a Multimedia & Graphic Designer or in a similar role, with a strong portfolio showcasing your design work.
Proficiency in graphic design software such as Adobe Creative Suite (Photoshop, Illustrator, After Effects, etc.).
Strong understanding of design principles, typography, color theory, and layout.
Experience in creating multimedia content, including video editing and animation, is a plus.
Excellent communication skills and the ability to work collaboratively within a team environment.
Strong attention to detail and a commitment to producing high-quality, visually appealing designs.
Preferred qualifications:
Experience in web design and knowledge of front-end development (HTML, CSS) is a plus.
Familiarity with UX/UI principles and best practices.
Knowledge of branding and marketing design strategies.
3+ years of relevant experience in multimedia and graphic design.
Soft Skills:
Strong creative and artistic skills with a passion for design.
Ability to manage multiple projects and meet deadlines in a fast-paced environment.
Excellent problem-solving abilities and a proactive approach to design challenges.
Location: Riyadh, Saudi Arabia
Müller's Solutions is looking for a creative and passionate Instructional Designer to join our team. In this role, you will play a key part in developing engaging and effective learning experiences that meet the needs of our clients and learners. You will collaborate closely with subject matter experts, project managers, and multimedia teams to design and implement instructional materials for various delivery methods, including e-learning, instructor-led training, and blended learning solutions.
Key Responsibilities:
Analyze learner needs and objectives to design instructional materials that enhance knowledge retention and application.
Develop scripts, storyboards, and prototypes for e-learning courses and training programs.
Create engaging multimedia content, including visuals, animations, and interactive elements, to support learning objectives.
Evaluate and assess the effectiveness of instructional materials through feedback and data analysis.
Collaborate with team members to implement best practices in instructional design and educational technology.
Ensure that all materials are accessible and inclusive, accommodating diverse learner needs.
Stay updated on the latest trends and advancements in instructional design, technologies, and adult learning theories.
Requirements
Requirements:
Bachelor’s degree in Instructional Design, Education, Educational Technology, or a related field; Master’s degree preferred.
3+ years of experience in instructional design, preferably within a corporate training or e-learning context.
Strong understanding of instructional design principles, adult learning theories, and best practices.
Proficiency in e-learning authoring tools such as Articulate Storyline, Adobe Captivate, or similar.
Experience with Learning Management Systems (LMS) and familiarity with SCORM/AICC standards.
Strong written and verbal communication skills with the ability to present ideas clearly and effectively.
Creative mindset with a passion for developing innovative learning experiences.
Excellent organizational skills and ability to manage multiple projects simultaneously.
Knowledge of graphic design tools (e.g., Adobe Creative Suite) is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a talented E-Learning Systems Developer to join our innovative team. In this position, you will be responsible for developing, enhancing, and maintaining e-learning applications and systems that facilitate engaging and effective learning experiences. You will work closely with instructional designers and subject matter experts to implement robust e-learning solutions tailored to meet educational needs.
Key Responsibilities:
Design, develop, and deploy interactive e-learning content and applications using appropriate technologies.
Collaborate with instructional designers and stakeholders to gather requirements and translate them into technical specifications.
Ensure that e-learning modules are accessible, user-friendly, and compatible across different devices and platforms.
Integrate multimedia elements such as graphics, audio, and video into e-learning content to enhance user engagement.
Conduct testing and debugging to maintain the functionality and quality of e-learning solutions.
Manage updates and improvements to existing e-learning systems based on user feedback and performance analytics.
Implement tracking and reporting features to monitor learner progress and outcomes.
Stay current with e-learning technologies, tools, and industry trends to continually improve development practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Educational Technology, or a related field.
2-4 years of experience in developing e-learning applications or instructional technology solutions.
Proficiency in programming languages such as HTML, CSS, JavaScript, and relevant frameworks.
Experience with e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate) is highly desirable.
Strong understanding of Learning Management Systems (LMS) and integration of e-learning content.
Familiarity with SCORM, xAPI, and other e-learning standards.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team environment while managing multiple projects and deadlines.
Preferred Qualifications:
Experience in graphic design and multimedia development.
Knowledge of user experience (UX) design principles.
Familiarity with database management and server-side programming.
Experience with data analytics and tracking for e-learning platforms.
Certifications in e-learning development or instructional design are a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking an E-Learning Quality Assurance Specialist to ensure that our e-learning products meet the highest quality standards. In this role, you will play a vital part in the development and delivery of engaging and effective online learning experiences. You will work closely with instructional designers, developers, and subject matter experts to assess the functionality, usability, and overall effectiveness of e-learning modules.
Key Responsibilities:
Review and analyze e-learning content for accuracy, relevance, and alignment with learning objectives.
Conduct thorough usability testing to ensure that learner interactions are intuitive and user-friendly.
Identify and document defects, inconsistencies, and areas for improvement in e-learning modules.
Collaborate with instructional designers to refine course content based on feedback and testing results.
Perform compatibility testing across multiple devices, browsers, and learning management systems (LMS).
Develop and maintain quality assurance standards, guidelines, and testing protocols specific to e-learning.
Provide training and support to team members on quality assurance processes and best practices.
Stay current with trends and best practices in e-learning and quality assurance techniques.
Requirements
Requirements:
Bachelor’s degree in Education, Instructional Design, Computer Science, or a related field.
Minimum of 3 years of experience in quality assurance and testing of e-learning products or digital education platforms.
Familiarity with e-learning authoring tools such as Articulate Storyline, Adobe Captivate, or similar tools.
Experience with learning management systems (LMS) and SCORM/AICC compliance.
Strong understanding of instructional design principles and adult learning theories.
Excellent analytical and problem-solving skills with keen attention to detail.
Strong communication and interpersonal skills to effectively collaborate with diverse teams.
Ability to work independently and prioritize multiple projects in a fast-paced environment.
Experience with usability testing and user experience (UX) design is a plus.
Location: Ukraine
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia
The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on
oil and gas separation systems
. The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China.
Key Responsibilities
Lead and manage engineering design activities for petrochemical and oil & gas projects.
Oversee design of
oil & gas separation systems
, including process facilities and related units.
Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation).
Review and approve engineering deliverables, calculations, drawings, and technical documents.
Ensure engineering designs meet project scope, schedule, quality, and cost objectives.
Coordinate with project management, procurement, construction, and commissioning teams.
Interface with clients, licensors, vendors, and regulatory authorities.
Ensure compliance with international codes, standards, and project specifications.
Support technical issue resolution during engineering, procurement, and construction phases.
Provide technical leadership, mentoring, and performance management for engineering teams.
Educational Qualifications
Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline).
Master’s degree is an advantage.
Experience Requirements
Minimum
15 years of engineering experience
in petrochemical and oil & gas projects.
Proven experience in
oil & gas separation systems
.
Minimum
5 years in a Design Engineering Manager or Lead Engineering role
.
Strong EPC project experience.
Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia
Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia
The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on
oil and gas separation systems
. The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China.
Key Responsibilities
Lead and manage engineering design activities for petrochemical and oil & gas projects.
Oversee design of
oil & gas separation systems
, including process facilities and related units.
Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation).
Review and approve engineering deliverables, calculations, drawings, and technical documents.
Ensure engineering designs meet project scope, schedule, quality, and cost objectives.
Coordinate with project management, procurement, construction, and commissioning teams.
Interface with clients, licensors, vendors, and regulatory authorities.
Ensure compliance with international codes, standards, and project specifications.
Support technical issue resolution during engineering, procurement, and construction phases.
Provide technical leadership, mentoring, and performance management for engineering teams.
Educational Qualifications
Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline).
Master’s degree is an advantage.
Experience Requirements
Minimum
15 years of engineering experience
in petrochemical and oil & gas projects.
Proven experience in
oil & gas separation systems
.
Minimum
5 years in a Design Engineering Manager or Lead Engineering role
.
Strong EPC project experience.
Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better.
Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable.
Key responsibilities
Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services
Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures
Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely
Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better
Partner closely with product and research teams to define what's possible and ship it
Minimum qualifications
Experience building distributed systems, infrastructure, or platform services at scale
Comfort building cloud native infrastructure on GCP, AWS, or Azure
Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates)
Write clean, maintainable code in Python, Go, Rust, or a similar language
Care about security, isolation, and building systems that fail safely
Preferred qualifications
Comfort with ambiguity and greenfield work where you help shape the architecture
Interest in problems that don't have existing playbooks
Experience building multi-tenant execution platforms or serverless infrastructure
Background in security engineering, sandboxing, or isolation technologies
Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions)
Experience with state machines, checkpointing, or durable execution patterns
Low-level systems experience (Linux internals, eBPF, container runtimes)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Toronto; San Francisco; New York; 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!
WHY THIS ROLE?
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
As a Site Reliability Engineer you will:
- Build self-service systems that automate managing, deploying and operating services.
- This includes our custom Kubernetes operators that support language model deployments.
- Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
- Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
- Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.
- Develop our team through knowledge sharing and an active review process.
You may be a good fit if you have:
- 5+ years of engineering experience running production infrastructure at a large scale
- Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
- Experience with Kubernetes dev and production coding and support
- Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
- Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
- Experience in compute/storage/network resource and cost management
- Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork
- The grit and adaptability to solve complex technical challenges that evolve day to day
- Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.
- Strong understanding or working experience with distributed systems.
- Experience in Golang, C++ or other languages designed for high-performance scalable servers).
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: San Francisco; New York; Toronto; Montreal
Workplace: Hybrid
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!
WHY THIS ROLE?
Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.
You may be a good fit if you have:
- 5+ years of engineering experience running production infrastructure at a large scale
- Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
- Experience with Kubernetes dev and production coding and support
- Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
- Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments
- Experience in compute/storage/network resource and cost management
- Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork
- The grit and adaptability to solve complex technical challenges that evolve day to day
- Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference.
- Strong understanding or working experience with distributed systems.
- Experience in Golang, C++ or other languages designed for high-performance scalable servers).
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: Paris, France
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste
Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.
Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.
En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.
Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et
de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.
En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un
marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.
Responsabilités :
Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales
Profil recherché :
Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
(Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien
About the role
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Strong Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
Fluency in French, Spanish and English
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€150.000
—
€190.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: USA (Remote)
Workplace: Remote
Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
The Role
We are building a full-time internal Red Team to continuously stress-test our own infrastructure. As a security engineer, you won't just be ticking compliance boxes; you will be writing Rust fuzzers, simulating economic attacks on our testnet, and dissecting the EVM to find edge cases in our execution client. We are looking for a builder who understands that the best way to secure a protocol is to try to break it continuously. If you have a history of topping CTF leaderboards, submitting high-severity bug bounties, or building your own security tooling because the standard ones weren't good enough—this role is for you.
Responsibilities
- Proactively hunt for vulnerabilities in the Tempo protocol, consensus engine, and bridge architecture, treating our mainnet like a continuous CTF challenge.
- Design and implement security tooling and automation in liaison with the Foundry team to catch logic errors and edge cases.
- Partner with engineering teams to review critical architecture across our codebase.
- Analyze incentives and game-theoretic risks within the protocol, such as MEV and staking dynamics, to prevent economic exploits.
Qualifications
- Fluency in reading and writing production-level code in systems languages, with a strong preference for Rust.
- Deep expertise in EVM internals, including intimate knowledge of opcodes, storage slots, gas metering, and precompiles.
- Proven track record of offensive security, such as high rankings in CTFs (e.g., Paradigm CTF), high-severity bug bounty submissions, or published research.
- Experience building custom security automation or tooling rather than relying solely on off-the-shelf scanners.
- Bleeding-edge knowledge of the latest blockchain security research, including recent hacks and how these could have been mitigated.
Attributes
- High motor
- Razor-sharp thinker with precise command of language
- Concise, evidence-based communicator
- Excellent organizational and logistical skills
- Intense curiosity and open-mindedness
- Scrappiness; willingness to roll up sleeves
- Growth mindset
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a Usability Engineer for our Design Team.
User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company.
This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards.
Location:
This role will be based remotely in the EMEA region.
The role entails
Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings.
Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research.
Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder.
Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.
Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach.
What we are looking for in you
Exceptional academic track record from both high school and university
Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path.
User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis.
Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling.
A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions.
A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing.
Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards.
Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action.
Nice to have skills
Experience with Linux.
Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management.
Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar.
A proven track record of contributing to Open Source projects or communities.
A passion for aesthetics, visualization, or design.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a Senior Design Researcher for our Design Team.
User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company.
This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards.
This role sits in the design team reporting to the User Science Manager.
Location:
This role will be based remotely in the EMEA region.
The role entails
Conducting user research: Developing user insights in diverse formats, identifying and championing user needs across product areas.
Sharing findings concisely and skillfully: Supporting different teams with well-matched research presentations and clear documentation systems.
Promoting and shaping a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.
Building research scalability and interoperability: Owning research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
Fostering a learning culture: Contributing to the evolving definition of User Science through user-centered training, resource development, and outreach.
What we are looking for in you
Exceptional academic track record from both high school and university
Bachelor’s or Master’s degree in a related field such as Design, Human-Computer Interaction, Engineering or similar, or a compelling narrative about your alternative chosen path.
Deep research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Exceptional depth in either qualitative or quantitative skills.
Strong technical curiosity: An alignment with and interest in open-source culture and the ability to engage deeply with technical subjects and stakeholders.
Proficiency in visual design and/or information design: Capability to translate complex data or ideas into strong, convincing visuals, ensuring that insights are both accessible and memorable.
A talent for storytelling and collaboration: Outstanding ability to craft narratives that effectively explain research findings and resonate with diverse audiences.
A knack for turning chaos into clarity: Meticulous organization and archivist skills, with the ability to transform scattered findings or disparate processes into cohesive, structured knowledge systems.
Portfolio: A robust portfolio showcasing a range of user research and/or design projects that highlight the ability to derive actionable insights from research and directly influence 1) product design and strategy or 2) organizational change.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE TEAM
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
WHAT YOU’LL DO
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
- Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
- Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
- Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
- Build robust monitoring and alerting for model performance, latency, data quality, and drift
- Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
- Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
- Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
- Collaborate closely with talented engineers, data scientist and compliance teams across Rain
- Work in a fast-paced environment on a rapidly growing product suite
- Solve complex problems at the intersection of ML systems, data, and reliability
WHAT WE'RE LOOKING FOR
- 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains
- A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Proven track record designing and maintaining ML models at scale
- Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
- Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems
- Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
NICE TO HAVE, BUT NOT MANDATORY
- Domain expertise in banking, payments, or transaction monitoring
- Experience with graph-based or network-level fraud detection techniques
- A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
- Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production.
This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue.
The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more.
Responsibilities
Build and ship user-facing and/or backend features for Claude Security
Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products
Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build
Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
Collaborate with research teams to identify and develop new model capabilities for security applications
You may be a good fit if you:
Contribute across the stack, from front-end UI to back-end infrastructure
Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems
Enjoy fast iteration and are energized by prototyping new ideas
Are comfortable working closely with research and go-to-market teams
Have strong communication skills and can work effectively across functions
Have 7+ years of experience as a software engineer
Strong candidates may also have:
Experience building client-side terminal applications
Experience developing cybersecurity products
Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields
Experience building skills, plugins, or hooks in Claude Code or similar tools
Experience building with Claude Managed Agents or similar frameworks
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Driven, coachable, and on a steep growth trajectory
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms
Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Warsaw
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who we are looking for:We are seeking a Regional Sales Director (Poland) to drive sales in the strategic segments. A successful Sales Executive at Creatio will be accountable for the Polish sales performance to achieve revenue goals and grow the number of strategic accounts in the region.This role will be based in our Warsaw Office.Responsibilities:Leading, motivating, and mentoring a team of Account Executives;Setting goals, monitoring performance, providing feedback, and conducting performance reviews;Develop a high-performance culture focused on success, ownership, loyalty, and growth;Manage the entire enterprise sales process and resources to develop and implement winning sales strategies in the assigned territory;Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function;Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling;Develop and orchestrate sales presentations and product demonstrations;Collaborate with regional partners to align resources and strategies on joint opportunities.Requirements:Minimum 8+ years of experience in quota-carrying sales roles and 3+ years of team management experience;Outstanding organisational, excellent communication and interpersonal skills, focusing on the team's success, and an ability to build and maintain strong, lasting business relationships with clients;Experience in Enterprise SaaS platform sales to large enterprises, with a deep understanding of executive-level Enterprise and/or Global account sales methodologies;Experience in navigating complex Enterprise environments, managing long sales cycles and large deals, and building relationships with C-level executives and key decision-makers;Proven knowledge of Effective People Management Strategies;Proven track record of meeting quarterly and annual targets;Ability to identify and focus on the highest-revenue potential clients;Understand key market and industry trends and dynamics;Strong personal network within the region;Self-motivated, results-driven, energetic, highly enthusiastic, and passionate about sales;Fluent Polish;Upper Intermediate or higher English — both verbal and written;Experience with the CRM, No/Low-Code, workflow automation software space is a plus.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Responsibilities
Leading, motivating, and mentoring a team of Account Executives;
Setting goals, monitoring performance, providing feedback, and conducting performance reviews.
Develop a high-performance culture focused on success, ownership, loyalty, and growth;
Manage the entire enterprise sales process and resources to develop and implement winning sales strategies in the assigned territory;
Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function;
Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling.
Develop and orchestrate sales presentations and product demonstrations;
Collaborate with regional partners to align resources and strategies on joint opportunities.
Requirements
Minimum 8+ years of experience in quota-carrying sales roles and 3+ years of team management experience;
Outstanding organisational, excellent communication and interpersonal skills, focusing on the team's success, and an ability to build and maintain strong, lasting business relationships with clients;
Experience in Enterprise SaaS platform sales to large enterprises, with a deep understanding of executive-level Enterprise and/or Global account sales methodologies;
Experience in navigating complex Enterprise environments, managing long sales cycles and large deals, and building relationships with C-level executives and key decision-makers;
Proven knowledge of Effective People Management Strategies;
Proven track record of meeting quarterly and annual targets;
Ability to identify and focus on the highest-revenue potential clients;
Understand key market and industry trends and dynamics;
Strong personal network within the region;
Self-motivated, results-driven, energetic, highly enthusiastic, and passionate about sales;
Fluent Polish;
Upper Intermediate or higher English — both verbal and written;
Experience with the CRM, No/Low-Code, workflow automation software space is a plus.
What you should expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being
: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package
: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоToronto; San Francisco; New York; Montreal
ГибридSan Francisco; New York; Toronto; Montreal
Paris, France; You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones; Experience working in and building a growing region, while navigating across time zones with US-based headquarters
