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Location: Abu Dhabi, United Arab Emirates; Luxembourg; Berlin, Germany; Bratislava, Slovakia; Bucuresti, Romania; Budapest, Hungary; Dresden, Germany; Dubai, United Arab Emirates; Düsseldorf, Germany; Erevan, Armenia; London, United Kingdom; Frankfurt, Germany; Hamburg, Germany; Hannover, Germany; Krakow, Poland; Kyiv, Ukraine; Leverkusen, Germany; Leipzig, Germany; Manchester, United Kingdom; Poland; Praha, Czechia; Skopje, North Macedonia; Sofia, Bulgaria; Stuttgart, Germany; Tallinn, Estonia; Tashkent, Uzbekistan; Tbilisi, Georgia; Warsaw, Poland Workplace: remote TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. We are looking for a Head of HFT for our client in a remote set up role. Requirements 1. 3+ years of hands-on experience in high-frequency or algorithmic trading. 2. Proven track record of working with top-tier trading firms , proprietary trading desks, or hedge funds. 3. Experience leading or contributing to successful HFT strategies and systems. 4. Deep understanding of low-latency systems , high-throughput data processing, and network optimization. 5. Fluent in English (written and spoken). What You’ll Do Lead the design, development, and optimization of high-frequency trading strategies. Build and manage a high-performing HFT team, including quants and engineers. Collaborate with leadership to align trading strategy with overall business goals. Analyze and act on large data sets in real-time to identify profitable opportunities. Maintain and continuously improve latency-sensitive infrastructure. Ensure robust risk management protocols and compliance with relevant regulations. Drive innovation and research in algorithmic trading within the Web3 and crypto space.

Location: Home based - EMEA Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a data centric approach, we examine hiring data to create talent analytics and business intelligence to fuel our decision making on hiring. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process. Working closely with our Hiring Leadership team, who ultimately lead on hiring, our team ensures that hiring decisions are being made in the right way and that our hiring model supports the selection of world class talent. We are looking for a set of leaders to support our team growth and to help drive our strategic objective outcomes. This role will report directly to the Global Head of Talent Science. To be successful you will bring: Analytical tooling to coach and lead the team Experience of leading roadmaps and projects Experience of leading others to achieve exceptional results Location: These are remote based positions that are available across the globe. The role entails Leading a team to deliver against a set of strategic objectives, with focus on product design and implementation of our roadmap. Cracking the code on hiring, connecting performance outcomes back to selection methods to ensure we identify and progress exceptional talent. Designing professional processes and frameworks, allowing efficient delivery of our agenda. Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members. Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader. Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a people based subject. 7+ years experience in a Talent function, with a deep appreciation of recruitment and selection and analytics that drive decision making. Proven analytical ability to dissect and analyse data using SQL. Alternatively use Python, R, SPSS, or, possess the ability to run lookups, indexing, matching formulae with an appetite to learn SQL. Exposure to BI tools (Superset is our platform). Exemplary ability to lead and drive others to deliver, including exceptional project management and coaching to lead roadmap execution and delivery. Exceptional written and spoken English with strong presentation skills for a senior audience. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills Advanced psychometric skills. A deep understanding of human behaviour, in particular intrinsic motivation. Experience of using Superset and/or Greenhouse What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of 2,000USD per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. 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. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2024, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: San Francisco, 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria As the Business Analyst for Front-End Channels, you will bridge the gap between user needs and execution, ensuring Renmoney’s mobile app and web platforms deliver intuitive, seamless, and high-performing user experiences. You’ll collaborate closely with Product Managers, Engineers, and Designers to gather business requirements, drive data-driven decisions, and support sprint delivery. You will also act as the Scrum Master for the Mobile/Web Squad, owning the Agile delivery process end-to-end. This role is central to achieving business growth by improving user conversion, increasing engagement, and delivering best-in-class digital experiences Key Responsibilities Requirements Gathering: Collaborate with stakeholders to elicit, document, and prioritize business and user requirements. Translate them into actionable user stories and BRDs. Agile Delivery: Lead sprint ceremonies including planning, stand-ups, reviews, and retrospectives. Manage Jira backlog, velocity tracking, and delivery timelines. Data Analysis: Analyze user behavior (e.g., click-through rates, session flows, drop-off points) via Firebase and internal dashboards to uncover UX gaps and insights. User Journey Optimization: Map and optimize digital journeys across mobile and web, targeting friction reduction and improved conversion rates. Documentation: Create and maintain clear user stories, acceptance criteria, flowcharts, and decision logs using Confluence or Notion. Product QA/UAT Support: Coordinate UAT sessions and ensure new features meet business requirements and regulatory standards. UX/Design Collaboration: Partner with Product Designers to review wireframes, improve UI flows, and implement features like searchable dropdowns and better onboarding states. Market Monitoring: Benchmark competitor UX patterns and trends to inform feature improvements and innovation Requirements Experience: 3+ years of experience in business analysis, product analysis, or similar roles within fintech, e-commerce, or digital platforms. Educational Background: Bachelor’s degree in Business, Engineering, Information Systems, or related field. Certifications in Agile/Scrum or Business Analysis are a strong plus. Analytical Tools: Proficiency in Excel and dashboard tools (e.g., Power BI, Tableau). SQL and Firebase experience preferred. Documentation Tools: Jira, Confluence, Notion, Figma, Balsamiq or similar tools. Soft Skills: Detail-oriented, problem-solving mindset, strong facilitation skills, and excellent verbal and written communication. Agile Experience: Proven experience running Agile ceremonies and managing sprint cycles in a cross-functional product squad. Market Familiarity: Understanding of digital banking and user behavior in Nigeria or similar emerging markets KPIs Accuracy and completeness of BRDs and User Stories Sprint Velocity and Timely Delivery UAT Issue Resolution Time Documentation Quality and Stakeholder Feedback Quality of insights generated from user behavior data Benefits You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges. Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary plus performance bonuses and health benefits. Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools. Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Germany You will work for the dedicated sales division of our client, specializing in providing AR-based solutions to industrial companies and training institutions. Their mission is to revolutionize workforce development and manufacturing processes through innovative, immersive technologies. Join them and play a pivotal role in shaping the future of industry and education. They are seeking an experienced and goal-oriented Sales Manager to lead sales efforts in the German market. This role focuses on direct sales to industrial companies aiming to improve workforce skills or produce customized components, as well as training centers adopting innovative methodologies. The ideal candidate will excel in managing sales pipelines, utilizing CRM systems, and building relationships to drive growth and expand market share. Key Responsibilities Sales Strategy and Execution: Identify and engage industrial companies and training centers as target customers, understanding their specific needs for AR- based training solutions or customized applications. Manage the entire sales process, including prospecting, needs analysis, solution presentation, negotiation, and deal closure. CRM and Funnel Management: Utilize CRM tools to track customer interactions, create and maintain   detailed   sales   funnels,   and   generate   accurate forecasts. Monitor and optimize the sales pipeline to ensure consistent progress and achievement of revenue targets. Customer Relationship Management: Establish and nurture strong relationships with key decision-makers   in   target companies and institutions. Provide ongoing support and act as a trusted advisor to ensure customer success and satisfaction. Market Intelligence and Development: Analyze market trends and competitor activities to adapt sales strategies and identify new opportunities. Contribute   to   our client’s   expansion   by   exploring untapped markets and building a strong local presence. Collaboration and Feedback: Partner with internal teams (product, marketing, and support) to align offerings with customer requirements. Provide customer feedback to drive continuous improvement of products and services. Reporting and KPIs: Report regularly on sales activities, pipeline progress, and performance metrics to the management team. Meet or exceed sales targets and contribute to the company’s overall growth. Requirements Experience: Minimum 3 years of B2B sales experience, preferably in industrial sectors or the education/training industry. Proven track record in managing complex sales cycles and achieving sales targets. Skills: Expertise in CRM tools (e.g., Salesforce, HubSpot) and a strong   understanding of sales funnel creation and management. Excellent communication, negotiation, and presentation skills. Ability to analyze customer needs and propose tailored solutions effectively. Education: Bachelor’s degree in business, Marketing, Engineering, or a related field (Master’s degree preferred). Languages: Fluent in German and English (written and spoken). Additional Requirements: A proactive and self-motivated mindset, with a focus on achieving results. Willingness to travel extensively across Germany to meet clients and attend industry events. Benefits Competitive base salary with an attractive commission and bonus structure. A chance to work with cutting-edge AR technology and industry-leading solutions. Opportunities for professional growth and development in a global, innovative company. A collaborative and supportive work culture, with the autonomy to make a significant impact.

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 require an HR function that thinks and acts globally.​ We're looking for a Senior HR Generalist to offer their expertise to our EMEA region. It's an exciting time to join with the opportunity to help shape and create an HR function for the future. The senior role will serve as a driver and practitioner in both regional and global HR initiatives. You will join a global team of HR professionals to provide precise, compliant and scalable HR operations to the business, advise and execute on HR issues across the whole employee life-cycle, and partner with leadership in your region. You will have an analytical approach, a keen eye for detail and the ability to interpret data trends and themes. Location: This role will be based remotely in the EMEA region The role entails Deliver precise and compliant HR operations in a timely manner and with the highest degree of accuracy Interact closely with the EMEA HR Manager and the Global Head of HR to create impact across all HR regions Be accountable for HR processes such as talent development, succession planning, performance assessments, onboarding, culture and engagement initiatives that drive a high performing team Work with managers across the business on performance management, organizational design, employee engagement, rewards- and workforce planning Partner with the HRIS team to develop and refine operational processes for day to day HR administration Coach and advise people managers on the full spectrum of employee relations issues across multiple countries Partner with people managers to support the delivery of appropriate training and development programs Establish a trusted partnership with the business in your region Drive diversity, equity, and inclusion initiatives Design new policies and deliver on business-critical HR related projects globally What we are looking for in you Exceptional academic track record from both high school and university HR experience leading initiatives across regions within a technology business Regional HR experience within EMEA (France, Germany and/or UK is a plus), with an understanding of local labor laws, competitive awareness and insights Experience in business partnering with senior stakeholders A good balance between leading and executing, in this role you will need to be hands-on involved in the daily HR routines Experience mentoring and developing others Strong project management skills with the ability to define done and keep deliverables on track Experience in working in a remote first organization Able to leverage data to make informed decisions Fluent in business English (written and spoken) Self motivated, organized, accurate, confident, authentic, results-orientated, open-minded and enthusiastic Willingness to travel up to 4 times a year for internal events Nice to have skills Experience with immigration policies and mobility processes Payroll and/or benefits oversight experience Knowledge of HR Systems and databases Professional HR certification(s) Facilitation skills What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We require an HR function that thinks and acts globally.​ We're looking for a Lead HR Generalist to offer their expertise to our AMER region. It's an exciting time to join with the opportunity to help shape and create an HR function for the future. The senior role will serve as a driver and practitioner in both regional and global HR initiatives. You will join a global team of HR professionals to provide precise, compliant and scalable HR operations to the business, advise and execute on HR issues across the whole employee life-cycle, and partner with leadership in your region. You will have an analytical approach, a keen eye for detail and the ability to interpret data trends and themes. Location: This role will be based remotely in the AMER region The role entails Deliver precise and compliant HR operations in a timely manner and with the highest degree of accuracy Interact closely with the Americas HR Manager and the Global Head of HR to create impact across all HR regions Be accountable for HR processes such as talent development, succession planning, performance assessments, onboarding, culture and engagement initiatives that drive a high performing team Work with managers across the business on performance management, organizational design, employee engagement, rewards- and workforce planning Partner with the HRIS team to develop and refine operational processes for day to day HR administration Coach and advise people managers on the full spectrum of employee relations issues across multiple countries Partner with people managers to support the delivery of appropriate training and development programs Establish a trusted partnership with the business in your region Drive diversity, equity, and inclusion initiatives Design new policies and deliver on business-critical HR related projects globally What we are looking for in you Exceptional academic track record from both high school and university HR experience leading initiatives across regions within a technology business Regional HR experience within Latin America (Brazil and/or Mexico is a plus), with an understanding of local labor laws, competitive awareness and insights Experience in business partnering with senior stakeholders A good balance between leading and executing, in this role you will need to be hands-on involved in the daily HR routines Experience mentoring and developing others Strong project management skills with the ability to define done and keep deliverables on track Experience in working in a remote first organization Able to leverage data to make informed decisions Fluent in business English (written and spoken) Self motivated, organized, accurate, confident, authentic, results-orientated, open-minded and enthusiastic Willingness to travel up to 4 times a year for internal events Nice to have skills Experience with immigration policies and mobility processes Payroll and/or benefits oversight experience Knowledge of HR Systems and databases Professional HR certification(s) Facilitation skills What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Cape Town, South Africa Workplace: remote WELCOME TO OLX   Software innovation is the driving force behind the success of Property24. We strive for outstanding user experiences on our websites, desktop, and mobile applications. We've created the leading property marketplaces in SA and Kenya, and are by no means finished. Join the tech-savvy team where quality, scale and performance are the foundations of our success. We're always growing our products, so if you're one of SA's talented Software Developers, then you'd be a great addition to our team.     At OLX, we're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands –  AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role is open as remote for all candidates based in South Africa.     We are looking for someone who: Likes building websites, backend systems or mobile applications. We are building a worldwide platform and need your help to succeed. If you are all about software development, performance, scale and user experience then come and be part of our dedicated and successful team. Requirements: Minimum 5 years' experience with C# University or related Computer Science degree/diploma South African citizenship Advantageous: Web Technologies (HTML, CSS, BootStrap, LESS etc) Microsoft Web Stack (MVC, C#, Razor, IIS, ASP.Net etc) Mobile Application Development (iOS, Mono, Android, Java etc) High performance/scale technologies (Caching, Load Balancing, Profiling, Indexing etc) Relational Databases (Microsoft SQL) Does this sound like you? Good attention to detail Open to and willing to give critique Genuinely interested in coming up with the best solution Constantly learning about the things they are busy with and sharing with others What we offer: Working with latest development tools Fast development environment No constant overtime to meet deadlines Guidance from and access to some very talented people At Property24, we're passionate about creating the experiences for our users and customers that we'd love to have ourselves. So why not join our team.   Our employments equity goals will be taken into account in our selection process. If we're blown away by your CV, we'll call you in for an interview. We'll give you a warm welcome, a quick test to challenge your mind and a chat to weigh up your skills and personality - simple, right? If you get the job, be prepared for a pretty great adventure! We look forward to meeting you.   To support our commitment to diversity, inclusion, and compliance with South Africa’s Employment Equity Act, we collect gender and race information to help us monitor and promote equal opportunities. Please note that this information is confidential and does not influence hiring decisions, which are based solely on qualifications and experience.   Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

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 Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico City, Mexico; Santiago, Chile; Panama; São Paulo, Brazil; Montevideo, Uruguay; Bogota, Colombia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Business Analyst (Pre-Sales & Delivery) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. We are seeking a highly experienced and skilled Business Analyst to lead our pre-sales efforts and play a crucial role in project delivery. This role focuses on managing the pre-sales cycle, including requirements analysis, solution design, proposal development, client negotiations, and successful deal closure. Post-sale, the Business Analyst will act as the Single Point of Contact (SPOC) between the client and project team, ensuring smooth execution, client training, and project success. The ideal candidate will have at least 7 years of experience as a Developer Lead, Business Analyst, Project Coordinator, or Project Manager , with at least 3 years in the U.S. market . A strong understanding of the Software Development Lifecycle (SDLC) , especially in custom application development on cloud platforms , is essential. Expertise in AI, ML, and Blockchain technologies is highly valued. Strong leadership in pre-sales and project delivery, coupled with an agile mindset and excellent communication skills, is key to success in this role. Key Responsibilities: Pre-Sales Activities: Requirements Analysis: Engage with clients to understand business needs, technical challenges, and strategic objectives. Documentation: Develop Business Requirements Specifications (BRS), System Requirements Specifications (SRS), UML diagrams, and solution architecture documents. Solution Design: Collaborate with sales and technical teams to craft tailored solutions using cloud technologies, AI, ML, and Blockchain. Solution Presentation & Demonstration: Lead presentations and demonstrations of proposed solutions, showcasing business and technical value. Proposal Development: Create detailed proposals outlining scope, timelines, deliverables, and pricing. Client Negotiations: Oversee negotiations regarding project scope, pricing, timelines, and deliverables. Sales Target Achievement: Partner with the sales team to meet and exceed pre-sales targets. Post-Sale Activities: Project Handover: Act as SPOC between the client and project team for seamless transition and alignment on deliverables. Project Planning & Documentation: Work with project managers to develop plans, assist in SRS creation, and review project-related documentation. Upselling & Cross-Selling: Identify opportunities for additional services during project execution. Objection Handling: Address client concerns promptly to ensure satisfaction. Phase & Milestone Delivery: Monitor project progress, ensuring timely and successful completion. Client Training: Conduct training sessions to ensure effective solution adoption. Experience: Minimum 7 years in a Developer Lead, Business Analyst, Project Coordinator, or Project Manager role, with 3+ years in the U.S. market . Technical Expertise: Hands-on experience in custom application development, particularly on AWS and Google Cloud . Proficiency in technologies such as Node.js, Python, React.js, Next.js, React Native, Flutter, MySQL, PostgreSQL, MariaDB, DynamoDB, Serverless Architecture, and Microservices . Government Regulations Knowledge: Strong understanding of U.S. Government and State regulations in areas like financial compliance, AML, KYC, digital identity verification, investor verification, payment processing (ACH, Credit Card), cryptocurrency regulations, taxation laws, healthcare, fintech, and privacy laws . SDLC Knowledge: Expertise in Agile methodologies and project management principles. Documentation Skills: Ability to create and manage BRS, SRS, UML diagrams, and solution architecture documentation. Pre-Sales Leadership: Proven success in leading pre-sales efforts and closing deals. Communication & Relationship Building: Strong verbal and written communication skills. Project Management Skills: Experience in Agile environments, ensuring successful project delivery. Preferred: PMP certification or similar project management credentials.

Location: London, UK 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: £260,000 — £370,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home Based - Americas Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Canonical is growing its channel sales team to capitalize on rapidly growing demand from channel partners, leveraging their expertise and connections to bring open source technology to organizations across a multitude of industries. The Partner Sales Executive, North America Channel will report to the Director, Americas Channel Sales and requires a mix of both farming and hunting capabilities. The successful candidate will be responsible for achieving assigned annual growth quotas. They should be able to identify, prospect, and engage reseller and distributor partners to build and maintain relationships and grow Canonical’s business within the assigned territory. The successful candidate must be comfortable owning and leading initiatives in an unstructured, startup-like environment.  This individual must be able to sell open source, cloud, virtualization, and technical software solutions. Although the role is focused primarily on reseller and distributor channel partners, the successful candidate must be capable of and comfortable with initial customer discovery calls and presentations as appropriate. Location: US or Canada The Role Entails Develop and execute channel strategy for distributors and resellers within the assigned territory Increase awareness of Canonical as a lead player in Open Source and Cloud (Private, Hybrid, Multi, and Public models) Identify and recruit new potential partners in assigned territory Leverage personal network and prospecting skills to engage new partners and build on Canonical’s already-successful relationships Guide partners through onboarding and enablement Develop mutually beneficial go-to-market plans and commitments with partners Arrange and execute sales and pre sales trainings to these resellers Drive and manage channel pipeline through recurring partner interactions Support partner’s satisfaction and act as trusted advisor and point of contact Maintain a regularity/frequency of contact with priority resellers and distributors. What we are looking for in you Bachelor's level degree, preferably in a technology field Experience in software or technology sales from the specified market Fluency in English An understanding of open source, Linux and Ubuntu A self starter with a proven track record of achieving sales targets Detail oriented with strong follow-up skills Effective negotiating skills with ability to close sales Excellent interpersonal and presentation skills (written and verbal) Productive in a globally distributed team through self-discipline and self-motivation Mature approach to long-term relationship development with customers The ability to represent the company at external events Start-up experience would be an advantage What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Senior Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis ! At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products Utilize cutting-edge technology stack including BigQuery, dbt and Looker Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects Mentor team members and drive the adoption of best practices within the team What We’re Looking For A strong passion for solving complex analytical puzzles Proven ability to translate business needs into advanced analytics solutions Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows) Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas) A high valuation of business context and the drive to achieve technical excellence An inclination towards collaboration and pride in contributing to high-functioning teams Enjoyment in working within fast-paced, growth-oriented environments A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: London, Remote Workplace: remote 360Learning is looking for a Business Development Representative (BDR) to join our UK team. Your role will consist of generating opportunities from 360Learning top priority, highest potential accounts. As the owner of these accounts, you will be in charge of creating business opportunities for UK Account Executives through inbound leads qualification. You will leverage bleeding-edge Sales Development Techniques & tools to engage prospects.    This position will play a key role in building a strong sales pipeline. More specifically, you will be in charge of your territory to qualify inbound leads and pitch our product to interested prospects. Throughout your conversations, you will detect customer pain points, understand their context, and how we can help. You will evangelize collaborative learning in the market, and present the 360Learning value proposition.   Working in close collaboration with your coach, marketing operations, demand gen, and sales, you will benefit from thorough onboarding and continuous learning & coaching opportunities as you grow. Within 1 month, you will… Finish onboarding and begin your core role as a BDR Master the pitch and qualification methodology Start qualifying leads and create your first opportunities for the AEs Within 3 months, you will... Fully master our tool stack and ramp up Act as a partner to the Account Executives Qualify your first SQL opportunities Master how to prioritize your inbound leads pipeline and forecast your performance Polish your qualification method to an advanced level Master our tool stack SalesLoft, LinkedIn’s Sales Navigator, Gong, etc. Within 6 months, you will… Be fully ramped on inbound methodologies Achieve and exceed monthly quotas Sales Qualified Leads Partner with Marketing to improve lead quality and get creative by bringing innovative lead generation ideas to weekly meetings Research trends and best practices for creating interest and engagement Within 12 months, you will: Contribute as a subject-matter expert on the 360Learning platform and share your knowledge with the rest of the organization Be involved in the onboarding of new members of the team The Skill Set Previous experience of at least 12 months hitting targets as a BDR or SDR in a B2B SaaS environment Previous experience in inbound lead generation and/or outbound Preferred but not mandatory: experience using Salesforce, Salesloft, and Gong Strong written and verbal communication skills Active listening skills, ability to uncover customer needs and adaptability (fast-paced environment) You are fluent in English (level B2 or equivalent) You show enthusiasm for our culture explained here: http://bit.ly/Convexity_360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Health Benefits - Medical, Vision, Dental, Life, Accidental Death & Personal Loss, and Disability coverage, Employee Care Line. Balance: Flexible hours, Total work from home possible anywhere in the UK 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Business Development Case Study with our Head of Business Development & VP of Enterprise Sales Clarification Meeting with our Account Executive/Key Account Manager team Culture Fit Meeting with our CRO Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Singapore We're looking for a part time Crisis Helpline Responder with proven experience as a helpline counsellor or responder, and completed training in Crisis intervention or Suicide prevention. About Intellect Intellect is a digital mental healthcare company providing an entirely new way for employers to effectively care for their employees' health & mental wellbeing. We're a team of psychologists, clinicians, and technologists providing an evidence-based approach to proactively help anyone, no matter where they are on their mental health journey.Our mission is to make mental health support radically more accessible, preventative & relatable, and stigma-free. Join us on our mission to reinvent how mental healthcare is being delivered Role & Responsibilities Responding to telephone hotline for crisis support of those bereaved through suicide, engaging in self-harm, experiencing suicide ideation and concerned friends or family members. Providing a range of evidenced based, professional crisis counselling services and personal support, employing de-escalation techniques and crisis intervention techniques Assessing the caller's needs and triage for immediate safety or emergency medical attention of callers, or referrals to appropriate service referrals such as face-to-face crisis intervention, case management/advocacy services, individual therapy, or group services. Maintaining accurate and detailed call reports on key issues and referrals actioned Complying with responsibilities under the Data Protection Acts 1988, 2003 & 2018 (GDPR) Supporting in the development of appropriate crisis management plans to support callers in crisis Make a quick in-the-moment decision on how to move forward if the responder is not sure how to proceed Ensuring smooth and diligent handover process to next shift personnel Dedicating entire shift to intellect tasks and responsibilities only Conducting risk assessments, including lethality assessment for suicide cases Requirements 1 - 3 years of experience in helplines, either in a paid or voluntary capacity Can effectively communicate in their native language Experience working with high risk clinical situations (at risk of or affected by suicide or crisis cases) and Ability to maintain emotional composure in high stress situations, ability to bounce back from stressful interactions and high-risk case Plus Points if you: have a background in mental health or emergency services Completed training in Crisis Intervention or Suicide Prevention can effectively communicate in more than 1 language maintain professional indemnity insurance

Location: Mongolia Workplace: remote The Role:  We are looking for a passionate and energetic Partner Relations Manager to cultivate and maintain strong relationships with our Partners. This role involves strategising to grow and leverage partnerships that enhance the company’s product offerings and market presence. The main responsibilities of the position include: Develop and implement Partner retention strategies as per the Company’s overall strategy to enhance loyalty and maximise lifetime value Act as the main contact for Partners, fostering strong relationships through personalised support Monitor Partners’ satisfaction, gather and utilise relevant feedback to improve experiences and tailor initiatives accordingly Analyse Partners’ behavior to uncover opportunities for upselling and customisation of products and services Stay up to date on Company’s products and marketing promotions and communicate them effectively to Partners Communicate ideas and suggestions for platform improvements to the Business Development teams Stay informed about industry trends, competitive landscape and best practices in Partner retention, continuously seeking opportunities to improve the Company’s retention efforts Undertake any other relevant task as assigned Main requirements: Degree in a business-related field At least 2 years of experience in a similar position Fluent Mongolian speaker with excellent oral and written skills in English Ability to build and maintain excellent business relationships Strong interpersonal and communication skills Target-oriented and resourceful Ability to work autonomously and under pressure Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Greece Workplace: hybrid The Role:    We are looking for a passionate and energetic Partner Relations Manager to cultivate and maintain strong relationships with our Partners. This role involves strategizing to grow and leverage partnerships that enhance the company’s product offerings and market presence. The main responsibilities of the position include: Develop and implement Partner retention strategies as per the Company’s overall strategy to enhance loyalty and maximise lifetime value. Act as the main contact for Partners, fostering strong relationships through personalised support. Monitor Partners’ satisfaction, gather and utilise relevant feedback to improve experiences and tailor initiatives accordingly. Analyse Partners’ behavior to uncover opportunities for upselling and customisation of products and services. Stay up to date on Company’s products and marketing promotions and communicate them effectively to Partners. Communicate ideas and suggestions for platform improvements to the Business Development teams. Stay informed about industry trends, competitive landscape and best practices in Partner retention, continuously seeking opportunities to improve the Company’s retention efforts. Undertake any other relevant task as assigned. Main requirements: Degree in a business-related field. Experience in a similar position will be considered an advantage. Fluent Italian speaker with excellent oral and written skills in English. Ability to build and maintain excellent business relationships. Strong interpersonal and communication skills. Target-oriented and resourceful. Ability to work autonomously and under pressure. Valid work permit. Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Speak Your Strength – Language Proficiency Check Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.