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Location: Dhahran, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia We are seeking an experienced and highly skilled Data Analyst / Application Developer to join our team. The ideal candidate will have a strong background in data analysis, application development, and system integration. You will be responsible for managing large datasets, developing applications, generating reports, and ensuring seamless database and system operations in line with business requirements. Minimum Job Requirements: Education: Bachelor’s Degree in Information Systems or Computer Engineering Experience: Minimum 5 years of hands-on experience in: Data analysis Application/software development Technical Proficiency: Strong knowledge and experience with SQL and Power BI Solid understanding of system integration and database management Familiarity with backend programming languages such as C# and Python Language Skills: Proficient in English and Arabic, both oral and written Preferred Qualifications: Certifications: Power BI / Data Analytics Certification Oracle Database / SQL Certification Preferred Major Study: Information Systems or Computer Engineering

Location: Worldwide We are looking for a SRE to join our Processing Core team. The Processing Core team is responsible for building and maintaining the core platform that powers our credit card products. We develop solutions for card issuance and management, tariff configuration, transaction processing, and integrations with global payment networks, ensuring the platform remains reliable, scalable, and efficient. As a SRE , you will contribute to the development and evolution of our core processing platform, working on business-critical systems that support the entire card lifecycle. You’ll collaborate with cross-functional teams to build reliable and scalable solutions, improve existing processes, and ensure seamless interactions with global payment networks. Challenges that await you: Managing the reliability and availability of payments processing solutions, ensuring the performance of applications Assisting in the design, implementation, and maintenance of payments processing solutions with a focus on reliability and scalability Monitoring technological metrics of services and collaborating with DevOps engineers Writing and maintaining deployment scripts, configs, helm charts and CI/CD jobs Addressing infrastructure issues and resolving product failures Participating in incident investigations to identify and eliminate root causes Maintaining technical documentation What makes you a great fit: Minimum of 3 years of experience in a similar position Understanding of the principles of multi-component system architecture and ability to apply them in practice (load balancing, ensuring fault tolerance, etc.) Hands-on experience with containerization technologies such as Docker, Kubernetes and logging tools like Prometheus, Grafana, ELK stack Familiarity with scripting languages like Python, Bash for automation tasks Expertise in CI/CD pipelines using tools like Jenkins, GitLab CI/CD Open mind for problem-solving and good troubleshooting skills Good communication and collaboration skills B1 or higher English level for effective communication with an international team Your bonus skills: Work experience with vendor solutions Experience working with payment or fintech systems Exposure to cloud infrastructure (AWS, GCP, etc) Background in performance tuning, database reliability Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain, Georgia, or Kazakhstan — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: New York City, NY; New York City, NY | Seattle, WA; 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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 role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems 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: Spain, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies Balance: Flexible hours, full remote work possible anywhere in Spain 🏠. Working remotely from outside Spain is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 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/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer 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: Paris, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent Balance: Flexible hours, full remote work possible anywhere in France 🏠. Working remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 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/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer 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: Mexico We are looking for Product Analysts in various teams Telesales, Collection, Antifraud, Customer Care, SME , etc. The analyst’s main task is to develop new technological products and enhance existing ones. Your team will include graduates from top universities (MSU, MIPT, HSE, MSTU, NES, MEPhI). We are at the beginning of our journey, so you will grow quickly and improve your skills. You will see the real impact of your work. Challenges that await you: Use your analytical skills to design top-tier financial products Take ownership of the product and its performance metrics Manage a team of analysts and build effective team processes Develop performance metrics to enhance both products and workflows Derive actionable insights and generate innovative ideas through data analysis Conduct in-depth research and investigations Design and implement monitoring systems for products and operational processes Build informative reports and interactive dashboards Optimize customer journey mapping (CJM) and conversion funnels Evaluate the quality, coherence, and logic of business processes Develop effective incentive schemes for operational teams Test hypotheses aimed at process improvement Perform cost analysis to evaluate overall operational efficiency What makes you a great fit: A mathematical or technical degree from a top university such as MSU, MIPT, HSE, MSTU, MEPhI, or NSE Strong knowledge of mathematical statistics and probability theory Analytical mindset and systematic thinking Ability to visualize data and draw actionable conclusions Experience in hypothesis testing and validation Proficiency in SQL; knowledge of Python or R is a plus Hands-on experience with data visualization tools such as Tableau or Superset Ability to understand business objectives and translate them into analytical tasks Experience in building analytical infrastructure and team processes Excellent communication skills English proficiency at B1 level or higher for effective collaboration with an international team Our ways of working: Innovative Spirit: a team from the best technical universities Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico with full visa & permit support to the employee and family Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: United States About EnrollWise EnrollWise is a leading enrollment management platform trusted by major U.S. school districts. We deliver robust, secure, and scalable solutions built on a modern tech stack, including Python/Django with Graphene for GraphQL APIs, Next.js (React + TypeScript), PostgreSQL, Redis, Celery for task queuing, and cloud-based infrastructure with dynamic horizontal scaling using AWS services like ECS, Fargate, S3, and CloudWatch. We're committed to innovation in education technology, powering seamless integrations with third-party services like Twilio, SmartyStreets, Census, ArcGIS, and Student Information Systems. Role Overview We're seeking an experienced Senior DevOps Engineer to audit our current infrastructure and Python/Django application, provide expert recommendations, and guide the transition to a shared tenant (multi-tenant) architecture. Our existing DevOps team handles day-to-day operations, but we need your specialized expertise in high-availability, high-traffic systems to optimize for peak enrollment cycles and ensure enterprise-grade performance as we scale. This position is a contract role and can work remotely anywhere in the US. Collaboration with our team during US business hours is required. Key Responsibilities - Conduct a comprehensive audit of our AWS-based infrastructure (including ECS, Fargate, Terraform IaC, CloudWatch/Sentry monitoring, and disaster recovery setups) and Python/Django application to identify scalability, performance, reliability, and security gaps. - Recommend and implement best practices for high-availability architectures, fault-tolerant mechanisms, and elastic scaling to handle high-traffic scenarios without downtime. - Design and set up a shared tenant instance model, ensuring data isolation, independent scaling per tenant, and compliance with security standards. - Facilitate load testing processes to identify performance optimization opportunities. - Collaborate with our engineering team to enhance CI/CD pipelines, automate deployments, and integrate observability tools for proactive monitoring and alerting. Qualifications - 7+ years of DevOps experience, with proven expertise in building and optimizing high-availability, high-traffic applications (e.g., handling peak loads in SaaS environments). - Deep knowledge of AWS services (ECS, Fargate, S3, CloudFront, WAF, CloudWatch) and Infrastructure-as-Code tools like Terraform. - Familiarity with Python/Django ecosystems, including GraphQL (Graphene), task queues (Celery), and databases (PostgreSQL, Redis). - Experience designing multi-tenant architectures with emphasis on isolation, scalability, and security. - Expert knowledge of containerization (Docker), monitoring/anomaly detection. - Excellent problem-solving skills and ability to communicate technical recommendations clearly. - Prior consulting or auditing roles in fast-growing startups or enterprise environments. Why Join Us? - Make a meaningful impact on education by enhancing a platform that serves millions of students and families. - Flexible part-time schedule. Fully remote. - Competitive hourly rate commensurate with experience.

Location: Spain, Remote Workplace: remote 360Learning is looking for a Business Development Representative (BDR) to join our French Enterprise Outbound 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 developing personalized outreach strategies to connect with target personas and transform intent signals into a sales pipeline.   More specifically, you will be in charge of your territory to create and qualify cold outbound leads and contact potential customers through cold-calls, email, and LinkedIn. 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 pitch the 360Learning value proposition.   Working in close collaboration with your coach, marketing operations, demand generation, 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 BDR Become a convexity master thanks to our onboarding process Understand our product , our positioning and our buyer persona Master the pitch and qualification methodology Discover your own Accounts territory and define common strategy of approach with your Account Executives and Key Account Managers Meet the team through virtual coffee meets and happy hour Start outreach to leads and create your first opportunities Within 3 months, you will... Fully master our tool stack and ramp up on outbound Act as a strategic partner to our Senior Account Manager to define their portfolio strategy Define your long-term Account Roadmap and start to address our highest personas on your Accounts Build strategic account-based outreach strategies to engage our buyer persona Within 6 months, you will… Be able to identify and leverage compelling new business entryways for very targeted outreach Reach 100% of monthly target Quickly research and strategize an approach to create interest and engage Detect & share opportunities to improve our outbound processes Within 12 months, you will: Be eligible to transition to an AE or KAM role Collaborate with sales teams by bringing innovative lead generation ideas to each weekly meeting The Skills Set Previous experience of at least 9-12 months hitting targets as a BDR or SDR targeting the enterprise market (5k-30k employees) in a B2B SaaS environment Previous experience in outbound and/or account-based marketing Strong written and oral communication skills Passion for learning and education Preferred but not mandatory: experience using Salesforce, Salesloft and Gong Master's degree in a related field is a bonus What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies Balance: Flexible hours, full remote work possible anywhere in Spain 🏠. Working remotely from outside Spain is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 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/Convexity360L & 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 and an Account Executive Clarification Meeting with a BDR from the 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: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Müller's Solutions is looking for a knowledgeable SAP RE-FX (Flexible Real Estate Management) Consultant to join our team. In this role, you will be responsible for providing expert advice and solutions related to the management of real estate processes leveraging SAP RE-FX functionality. You will work directly with clients to understand their business requirements and implement effective SAP solutions that enhance their real estate management capabilities. Key Responsibilities: Analyze client requirements and design comprehensive solutions using SAP RE-FX. Implement, configure, and optimize RE-FX functionalities including contract management, billing, and reporting. Collaborate with cross-functional teams to ensure smooth integration of RE-FX with other SAP modules and systems. Conduct workshops and training sessions to educate clients on RE-FX processes and practices. Develop and execute test plans to validate the configurations and customizations made in RE-FX. Provide ongoing maintenance and support for existing RE-FX implementations. Stay informed about the latest developments in SAP RE-FX and real estate management best practices. Requirements Qualifications: Bachelor’s degree in Business Administration, Information Technology, or a related field. 5+ years of experience working with SAP RE-FX or in a similar role focused on real estate management. Strong understanding of business processes related to real estate management, including leasing, maintenance, and billing. Experience with SAP integration practices and working knowledge of other SAP modules (e.g., FI, CO, MM) is a plus. Excellent analytical and problem-solving skills. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Proficiency in SAP reporting tools and experience with data management practices. SAP certification in RE-FX or related areas is preferred. 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: Itasca, TX Project Manager – Transmission & Distribution (Power Delivery) Location: Itasca, TX Employment Type: Full‑Time Travel: Required Lead the Infrastructure That Powers Communities Strengthening our nation’s power grid isn’t easy—but it’s essential. Every time someone charges a phone, runs the A/C, or powers a business, Michels Power, Inc. is behind the scenes delivering safe, reliable electrical infrastructure. Michels Power, Inc. is one of the nation’s premier power delivery contractors , executing the full lifecycle of electrical infrastructure projects, including: High‑voltage transmission line construction (overhead & underground) Substation construction, expansion, and upgrades Distribution system modernization (overhead and underground) Renewable energy interconnections and grid integration Emergency storm response and power restoration Our work keeps communities connected, resilient, and growing. Join us and build a career that truly makes a difference. Position Overview As a Project Manager – Transmission & Distribution , you will lead the execution of complex utility infrastructure projects , managing everything from project pursuit through final closeout. You may lead a major segment of large‑scale transmission projects or oversee multiple distribution and substation projects ranging from $500K to $10M+ , with full accountability for: Scope Schedule Budget / cost control Safety and compliance Quality and performance Client satisfaction This role is ideal for a results‑driven leader who thrives in field‑based environments, complex project execution, and high‑impact infrastructure work . Key Responsibilities Lead projects through estimating, bidding, execution, and closeout phases Manage transmission, distribution, and substation construction activities Ensure projects are delivered safely, on time, within budget, and to quality standards Oversee subcontractors, suppliers, field leadership, and internal project teams Develop and maintain strong client and utility relationships Track and manage project costs, forecasts, schedules, and performance metrics Support project planning for: Transmission line construction (structures, conductor, ROW) Distribution system upgrades (OH/UG) Substation scopes as applicable Promote and model Michels’ safety‑first culture across all operations Drive continuous improvement through lessons learned and operational feedback Why Michels Power? Ranked No. 1 Electrical Transmission & Distribution Contractor by Engineering News‑Record National leader in transmission, distribution, and substation construction Family‑owned and operated with long‑term stability Average of $5,000 per employee annually invested in training and development High‑impact work supporting critical infrastructure and communities Strong safety culture—everyone is responsible, regardless of title Part of the Michels family of companies, one of North America’s largest infrastructure contractors Comprehensive Benefits Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Short‑ and Long‑Term Disability Insurance 401(k) Retirement Plan Legal Assistance & Identity Theft Protection (Benefits may vary by position and location) Why You’ll Succeed Here You value teamwork and want to work with driven, principled professionals You enjoy solving complex problems and embracing new technologies You challenge the status quo and look for better ways to build You want ownership, autonomy, and recognition for your work You’re motivated by work that improves communities and lives What It Takes 2–7+ years of experience in construction project management within transmission, distribution, utility, or electrical infrastructure projects (or equivalent combination of education and experience) Proven experience managing project scope, cost, schedule, and field execution Strong knowledge of T&D construction methods, sequencing, and project delivery Proficiency with Microsoft Office Suite Experience with project management / scheduling software (Primavera P6, HCSS, MS Project, or similar) Strong communication, leadership, and organizational skills Valid driver’s license with an acceptable driving record Willingness to travel and support long‑term, onsite project assignments Preferred Qualifications Experience with utility clients, co‑ops, or EPC transmission projects Background in overhead transmission (HOLT), underground distribution, or substation integration Experience managing multi‑discipline power delivery projects Familiarity with ERCOT, MISO, or other regional transmission environments Build Your Career While Powering Progress At Michels Power, you don’t just manage projects—you build critical infrastructure, develop your leadership, and grow a lasting career. Join Michels Power, Inc. and help power what matters most. #LI-RR1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: New York, NY Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As Via’s Senior Workday Platform Architect , you’ll play a critical role in shaping and scaling the Workday ecosystem that supports our global workforce. You will serve as Via’s senior Workday expert and help us build a reliable, well-governed, and best-in-class People technology foundation. This role is ideal for someone who has managed Workday in a large, complex organization and has worked across multiple Workday modules, business processes, integrations, and stakeholder groups. You’ll bring proven practices from mature Workday environments and apply them thoughtfully at Via—strengthening our platform architecture, improving governance, and helping our teams get more value from Workday. You’ll partner closely with Via’s People, Payroll, Finance, and IT teams. In addition to overseeing day-to-day administration and troubleshooting, you’ll help define the long-term direction of our Workday platform and ensure that new solutions are scalable, secure, maintainable, and designed around a great employee experience. What You’ll Do: Serve as Via’s senior Workday platform expert, with ownership across configuration, security, business processes, reporting, integrations, data quality, and system administration. Help define and implement a scalable Workday architecture and operating model, including governance, documentation, change management, testing standards, and release processes. Evaluate current Workday configurations and processes, identify gaps or technical debt, and recommend improvements based on experience with mature enterprise environments. Lead the design, configuration, testing, and deployment of solutions across multiple Workday modules, such as Core HCM, Compensation, Recruiting, Benefits, Absence, Time Tracking, Performance, Talent, and Payroll. Ensure that Workday business processes are efficient, consistent, compliant, and able to support Via’s continued growth and organizational complexity. Design, build, and maintain Workday reports, dashboards, calculated fields, and analytics that enable reliable, data-driven decision-making. Oversee Workday integrations with payroll, benefits, identity management, finance, recruiting, and other enterprise systems, partnering with internal teams and external vendors to ensure accuracy, reliability, and security. Establish strong security and access-management practices, including role-based access, segregation of duties, periodic reviews, and audit readiness. Lead Workday release planning by evaluating new functionality, assessing business impact, coordinating testing, documenting changes, and communicating recommendations to stakeholders. Maintain data integrity through proactive monitoring, recurring audits, reconciliation processes, and root-cause analysis of system or integration issues. Provide clear guidance and hands-on support to People team members, managers, employees, and business leaders. Create and maintain documentation for configurations, business processes, integrations, reports, controls, and user procedures. Build strong relationships with Workday, implementation partners, and other vendors while ensuring that Via retains clear internal ownership of its platform. Stay current on Workday capabilities, product releases, and industry practices, and help Via determine which improvements will deliver meaningful business value. Who You Are: You have at least 7 years of hands-on Workday experience, including significant responsibility for administering or designing Workday within a large, complex, or global organization. You have deep experience with Core HCM and meaningful hands-on exposure across several additional Workday modules, such as Compensation, Recruiting, Benefits, Absence, Time Tracking, Performance, Talent, or Payroll. You understand how decisions in one Workday module can affect business processes, security, reporting, integrations, and downstream systems across the broader platform. You have experience improving an established Workday environment—not only maintaining it—and can bring practical examples of governance, architecture, process, or configuration improvements you have led. You have strong knowledge of Workday security, business-process configuration, reporting, calculated fields, data management, and integration concepts. You understand HR operations, payroll processes, compliance requirements, and the controls needed to support accurate and sensitive employee data. You can balance immediate business needs with long-term platform health, avoiding unnecessary customization and designing solutions that remain scalable and maintainable. You are comfortable advising senior stakeholders, challenging assumptions constructively, and translating complex technical topics into clear recommendations. You are highly detail-oriented, organized, and process-driven, with strong judgment and a clear sense of ownership. You thrive in a fast-paced environment, can manage competing priorities, and remain thoughtful and methodical when addressing complex issues. What Will Set You Apart: Experience supporting Workday across multiple countries, legal entities, employee populations, or business units. Experience helping an organization mature its Workday governance, architecture, documentation, security, or release-management practices. Advanced Workday reporting and analytics experience. Experience with Workday integration technologies such as EIB, Core Connectors, Workday Studio, APIs, or Workday Extend. Workday certifications across multiple functional or technical areas. Experience with major Workday implementations, module expansions, acquisitions, reorganizations, or large-scale transformation initiatives. Compensation and Benefits: Final salary will be determined based on the candidate’s experience, knowledge, and skills. The salary range does not include equity or variable compensation, where applicable. Salary range: $140,000–$160,000. Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with a generous company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually Via was founded on the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience does not align perfectly with every qualification in this description, we encourage you to apply. You may be the right candidate for this or another role. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride? Via is an equal opportunity employer.

Location: San Francisco, CA | 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 is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities 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: $175,000 — $295,000 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: Amsterdam, Netherlands; Utrecht, Netherlands; Alkmaar, Netherlands; Amersfoort, Netherlands Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Operations Manager 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. Role Description: This role will oversee and continuously improve daily operations across our European business. Reporting directly to the Global Director of Operations, you will take ownership of logistics processes, 3PL relationships, and quality management. You’ll thrive in a dynamic environment, balancing strategic process building with hands-on problem solving. Key Responsibilities • Develop, scale, and optimize operational workflows, including import/export activities for devices across Europe • Manage and coordinate with 3PL partners to ensure on-time availability of devices for sales and distribution • Track, analyze, and report on KPIs to drive continuous improvement and operational excellence • Oversee device grading and quality control standards to safeguard exceptional product quality • Collaborate with cross-functional teams (Sales, Finance, Tech, and Customer Success) to enable sustainable growth • Support ad-hoc projects and operational requests with flexibility, speed, and ownership • Minimum 5+ years of operational experience in supply chain, logistics, or device management, with at least 2 years of proven experience in the EU region • Strong expertise in supply chain operations and 3PL management • Proven proficiency in Microsoft Excel (essential for data analysis and reporting) • Experience with grading / quality assurance of electronic devices is a strong plus • Fluent in English; additional European language skills (e.g., Dutch, German, French) would be an advantage. • Proactive, analytical, and solution-oriented with excellent problem-solving skills • Effective communicator who thrives in a fast-paced, international environment Education: Preferably Master’s degree in Business, Operations, Supply Chain or related field.

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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. 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: £260,000 — £630,000 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: 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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. 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: $350,000 — $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 We’re looking for a Business Analyst to join our Risk Monitoring team. The team develops and enhances real-time monitoring and decisioning that protects our clients and the bank by detecting suspicious behavior across Fraud and AML/KYT use-cases. We build risk controls, alerting and investigation workflows, and continuously improve control effectiveness using data, feedback from operations, and product signals. Challenges that await you Collecting and formalizing requirements from stakeholders, prioritizing changes based on risk and impact, and leading delivery from discovery to rollout Facilitating communication between engineering, data/ML, risk operations (Fraud/AML), and product to ensure alignment on monitoring roadmap and control design Identifying root causes of monitoring/control gaps (false positives/false negatives, operational bottlenecks, data quality issues) and coordinating cross-functional resolution Implementing best practices in risk analytics and reporting (control effectiveness, alert quality, investigation efficiency) to improve operational performance and risk outcomes Closely collaborating with designers and operations to shape investigation and case-management UX and improve investigator productivity What makes you a great fit Basic SQL proficiency (data validation, exploratory analysis, alert quality checks) Proven experience in eliciting, documenting, and managing requirements for complex systems (preferably in fintech/banking/risk) Ability to translate risk needs into clear deliverables for dev/data teams, with understanding of how services are structured (microservices, integrations, event flows) Strong analytical and systematic thinking; ability to reason in terms of risk, controls, trade-offs, and measurable outcomes Experience in cross-team collaboration and stakeholder management Experience with BPMN/UML/DFD (or similar) to visualize processes, decision points, and data flows B2 or higher English level for effective communication with an international team Your bonus skills Experience with BI tools (Superset, Tableau, etc.) for dashboards, monitoring, and KPI design Understanding of APIs and event streaming (Kafka or similar) Familiarity with concepts such as transaction monitoring, risk scoring (rules/ML), alert triage, case management, and control effectiveness metrics Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico with assistance for the employee and their family Flexible work from our office or hybrid Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a MidMarket Account Executive, you’ll be at the forefront of growth. You’ll own both sides of your territory: winning new logos and growing a portfolio of existing customers to realize the full power of Fin. We’re building a world-class sales organization that is fast, ambitious and driven, and the road ahead is very exciting. This is a seat at the center of the biggest shift selling has seen in decades. You’ll be selling AI agents to fast-growing businesses rethinking how their entire customer experience works, so the conversations are strategic, technical and interesting. You’ll also use AI every day to run your own territory, from qualification to research to how you run a deal. You won’t just talk about the technology, you’ll work with it. At Fin, we do sales differently. We don’t just pitch; we partner. We’re asking customers to make Fin the heartbeat of their business. That takes salespeople who can think bigger, move faster and win with integrity. We invest deeply in every seller’s growth, and development is built into how we promote, learn and lead. In a high-velocity environment that rewards ownership, creativity and ambition, you’ll find room to stretch, influence and make your mark. What will I be doing? Lead the growth and adoption of Fin across your MidMarket territory, with both new prospects and existing customers Manage the full new business sales cycle, from prospecting to close, through a highly consultative approach Own and grow a portfolio of existing customers, driving expansion, retention, renewals and long-term loyalty Engage executives and operators to uncover pain points, position AI-driven solutions and tie Fin directly to business impact Build data-backed territory and account plans that target new logos, upsell, cross-sell and multi-business-unit expansion Manage a high volume of deals, including complex six-figure opportunities across new and existing business Articulate Fin’s value and differentiation using Command of the Message and MEDDPICC. If these are new to you, you’ll be trained on them Run your business with discipline through QBRs, territory planning, and weekly and monthly forecasting across new business and renewal pipeline Track and communicate the metrics behind your growth, including retention, adoption and platform expansion Partner with Sales Leaders, Sales Engineers, Customer Success and the wider solutions team to win flagship logos and grow strategic accounts Bring the voice of the customer to R&D, Product and Marketing, turning real customer needs into product innovation and GTM alignment Stay at the cutting edge of AI using the best internal tooling and enablement in the market Raise the bar for the team by mentoring peers and sharing winning plays What skills do I need? 4+ years in a quota-carrying closing role selling SaaS or DBaaS, with a track record of meeting and exceeding quota Experience winning new business and managing a book of existing customers through retention, renewals and expansion. Strong experience in one with a clear appetite for the other is also welcome Experience, passion and success in outbound prospecting Proven success navigating procurement, complex renewals and senior decision makers Experience selling products with technical complexity or thorough implementation AI fluency or a deep interest in AI tooling, with the ability to turn technical capability into customer value Energized by working in a fast-moving, evolving organization across inbound, outbound and existing customer opportunities Bonus skills and attributes Experience selling AI-powered products Sharp written and verbal communication, adapted to senior stakeholders and technical teams alike A trusted-advisor mindset, building long-term partnerships across multiple levels of complex organizations Demonstrated leadership and influence within your team and across functions A growth mindset, intellectual curiosity and ambition * Proof of eligibility to work in the United States is required. The OTE range for candidates within the San Francisco Bay Area is $226,100 - $270,040. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.