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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, Total work from home possible anywhere in Spain 🏠 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: Brazil Job Description Job Title: Medical Reviewer Employment Type: Contract Location: Brazil Experience – 2 to 5 Years About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centres and satellite offices in the United States, Mexico, United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Awareness and understanding of relevant GVP modules. Perform medical review of non-serious & serious ICSRs with emphasis on seriousness, expectedness, causality & narrative etc. without missing on quality & compliance. Experience of medical review of ICSRs received from sources such as Spontaneous, Literature, Regulatory Authority, Solicited and Clinical trials. Experience across multiple therapeutic areas such as Oncology, Respiratory, Immunology, Neuroscience, Rare diseases etc. Support triage of cases and determine seriousness and relatedness across products as assigned. Review and verify appropriate selection of adverse events from source documents, assign appropriate MedDRA code, assess labelling and review narrative. Acquire and maintain current knowledge of product portfolio and safety profiles for products across therapeutic areas. Involve in process improvement activities such as implementation of quality control process. Provide medical guidance and expert opinion on the cases to the data entry associates and quality reviewers to help resolve queries. Identify and resolve case issues, coordinate with client therapeutic teams and within functional team and manage as appropriate. Maintain PV expertise, and understanding of international safety regulations and guidelines. Responsible for completing the MR activities in the safety database within the stipulated time to comply with service level agreements and regulatory timelines. Provide timely feedback to case processors on the errors/ discrepancies noted. Assist in training/mentoring of other case processing/medical review personnel as necessitated. Adapt to different client case processing conventions and multi-task as per business needs. Perform ad-hoc tasks as advised by the team lead/manager with quality and compliance as per project requirement. Participate in organizational activities to meet objectives suitable for the role/area of expertise. Candidate Profile: Should be a MBBS/MD with at least 2 years of experience as Medical Reviewer for ICSRs. Must possess thorough knowledge of ICH-GCP, relevant GVP module, 21 CFR guidelines and other regulatory requirements. Training and mentoring skill (GVP concepts & medical aspects such as disease condition, product portfolio etc) Must have hands on experience with MS Office applications (Outlook, Excel, Word, Power Point etc) Must be able to Write and speak Japanese. Dynamic working hours.

Location: Brazil Job Description Job Title: Senior Executive / Specialist - Case Processing E mployment Type: Contract Location: Brazil (Remote) A bout ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Experience in Intake/Triage, Data Entry, Quality Review, Case Finalization/Distribution of cases received from sources such as Spontaneous, Literature, Regulatory Authority, Solicited and Clinical trials. Experience in raising follow-up queries, as necessary, with appropriate documentation in the safety database. Experience in ARGUS database. Experience in rare disease portfolio. Must possess thorough knowledge of ICH-GCP, relevant GVP module, 21 CFR guidelines and other regulatory requirements. Training and mentoring skill (ICSR, Safety database etc.). Candidate Profile: Bachelor’s or Master’s in Pharmacy / Life Sciences or above and in alignment with project / business team requirements. Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream. Must have hands on experience with MS office applications (Outlook, Excel, Word, Power Point etc.). Must be able to Write and speak Japanese. Dynamic working hours.

Location: United States, Remote Would you like to work on a new IP and new genre at teamLFG that combines amazing action feel with lighthearted and whimsical characters? Are you on a mission to create games that bond players together into deeply invested communities? As an Engineering Director at teamLFG, you will hire, build and direct a technology organization to deliver amazing never-seen-before game experiences. Your organization will build and utilize a wide range of technologies and workflows to develop, continuously deliver, and maintain a live production game service. As part of the project and studio leadership team, you will create and evolve a technology strategy that is aligned with project goals and initiatives and serves the needs of the game, its players, and employees. As part of a diverse company that prizes creativity and technical excellence, your servant leadership will inspire and motivate a cross-discipline team to help build a new franchise beloved by millions. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Collaborate with a cross-disciplinary project leadership team to develop and maintain a product technology strategy that is informed by product vision, technical costs, and long-term technology goals Leveraging the Unreal Engine and technology the team has built, direct the engineering organization to tackle challenging problems, find combinations of innovative technology with proven models, and build reliable solutions that deliver game experiences while sensibly managing technology risks Recruit, nurture, and retain an engineering organization (30+ engineers, both internal FTE and external codev) with the skills, capacity, and adaptability to navigate uncertainty and deliver on the changing needs of the project Manage multiple senior engineering leads, providing management support, technical guidance, constructive feedback, and career development coaching Work with production leadership to schedule, track, deliver, and close out game features and releases, anticipating and mitigating any critical risks encountered, technical or otherwise Communicate with PlayStation executives, directors, and technology teams, as needed REQUIRED SKILLS Experience managing an organization of 20+ engineers on AAA game engineering teams Experience working with and directing co-development engineering teams Experience with developing and running online games in a live service environment Ability to align with leadership and executive stakeholders, translate goals into strategic technology solutions with a thorough understanding of cost, efficiency, and quality tradeoffs, and then lead an organization to execute on a technology strategy Effectively communicate with and inspire fellow engineers by driving team alignment and buy-in on technology vision and architectural principles Ability to work with a team in a hybrid environment, leveraging real time chat communications and documentation across an entire game studio Ability to communicate with stakeholders of different business, technical, and non-technical backgrounds, to help align objectives and negotiate common goals Bachelors degree or equivalent NICE TO HAVE SKILLS Experience with development using the Unreal Engine Experience with development on a variety of platforms (PC, console) Experience with agile development methodologies At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $255,000 — $383,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: Madrid, Alcobendas, Spain Join the Exciting New Team at Imagine Live Spain We’re thrilled to announce the launch of a brand-new team at Imagine Live Spain, a rising star in the online casino market Requirements Strong willingness to learn and continuously improve performance Motivation to work in a multicultural and diverse team environment Basic understanding of customer service principles and practices High level of responsibility, reliability, and punctuality Strong attention to detail and accuracy in tasks Proactive, solution-oriented mindset with a positive attitude Basic knowledge of English (both spoken and written) Previous experience in a casino or gaming environment is an advantage, but not mandatory Experience handling playing cards or operating shuffling machines is considered a plus Responsibilities Card Shuffling Shuffle card decks using manual or automated shuffling machines according to company guidelines and gaming regulations. Ensure that all shuffled decks are randomized and free from any patterns or potential bias. Replace card decks sets as needed during live games and prepare new decks for upcoming shift. Card Inspection Conduct thorough inspections of all card decks to ensure there are no defects, markings, or damages that could compromise the integrity of the game. Report any irregularities or damaged cards to the supervisor for immediate action. Inventory Management: Keep an accurate inventory of all card decks and ensure that the studio has an adequate supply of ready-to-use cards at all times. Safeguard the storage and handling of all card decks to prevent tampering or damage. Collaboration with Dealers: Work closely with online casino dealers and game supervisors to ensure that shuffled decks are delivered promptly for live games. Communicate any issues or delays with the supervisory team to maintain a smooth game flow. Compliance & Regulations: Follow all internal and external regulations regarding the handling, shuffling, and preparation of card decks. Ensure compliance with responsible gaming practices and uphold the highest standards of fairness. Studio Operations Support: Assist in general studio operations as needed, including supporting game preparation and equipment management. Help maintain a clean and organized work environment in the shuffling area Other info We're excited to announce the opening of a brand-new team at Imagine Live Spain, the latest sensation in the online casino market, located in Alcobendas, Community of Madrid. Imagine Live Spain is taking the Spanish market by storm with its fresh approach to live casino entertainment. We pride ourselves on creating an engaging, dynamic, and inclusive environment where our people and players can thrive together. We are seeking passionate and proactive casino staff to join our dynamic team. This role is perfect for self-starters who are eager to make a difference and contribute to an electrifying atmosphere. As a member of our team, you will have the unique opportunity to help shape the player's experience, bringing your creativity and enthusiasm to the forefront of our operations. At Imagine Live Spain, we believe that our employees are our greatest asset. We foster a culture of collaboration and innovation, where every team member’s ideas are valued, and every voice is heard. As we build our brand, you will play a pivotal role in creating memorable experiences for our players, ensuring that they receive top-notch service and entertainment. We promise that there is a huge opportunity to make your mark here! Apply now to be one of the first team members joining Imagine Live Spain and to know more about our company and job offers! Contact Email: hrmarketing@imaginelive.com Address: Avenida de la Industria nº 4, Alcobendas - Madrid

Location: Cyprus; Portugal; Spain; Latvia; Germany Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior PHP Engineer to join our dynamic team. As a Senior PHP Developer at Intetics, you will be responsible for developing, maintaining, and enhancing web applications using PHP and related technologies. You will work closely with cross-functional teams to deliver high-quality software solutions that meet client requirements and industry best practices. The client is a leading company specializing in advanced cybersecurity solutions. They provide comprehensive security measures designed to protect sensitive data and systems from cyber threats. Their offerings include vulnerability management, threat intelligence, incident response, and compliance management. With cutting-edge technology and a team of experts, they ensure robust protection for organizations across various industries, helping clients stay ahead of evolving cyber threats and maintain a secure digital environment. About the project: The only Risk-Based Vulnerability Management Platform purpose-built for the world’s most complex enterprises. Requirements Minimum of 5 years of professional experience in PHP development Excellent knowledge of DB Extensive experience working with large volumes of data Experience in writing complex and optimized SQL queries Excellent knowledge of modern versions of PHP Experience working with relational databases (SingleStore/MemSQL a bonus) Experience maintaining applications on Linux platforms in cloud environments Background following Agile/Scrum methodologies in a professional setting Demonstrated experience with technical troubleshooting Ability to work independently and with a team, including with a team across different time zones Would be a plus: Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM scanning, container, etc.) Experience working in cloud environments, ideally AWS Experience working with data analytics and/or data science Benefits Paid Time Off (36 paid days per year) Work From Home Training & Development Partial medical compensation

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. 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. 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: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you enjoy the challenge of solving complex, non-deterministic problems with simple, pragmatic solutions? As a Staff Services Engineer for teamLFG, you will design and build the core services that take our game from prototype to production, from gathering requirements to implementation and scaling. Most importantly, you will work with a fun, dedicated, and passionate cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Build and maintain production-quality backend game services Collaborate daily with a cross-disciplinary team to design the core services for the game (including sessions, matchmaking, and player progression) Effectively write clear, concise, and accurate technical documentation and email communication, with the ability to summarize complex topics and achieve alignment across multiple teams Calmly deal with production incidents, participating in an on-call rotation after launch REQUIRED SKILLS Production experience designing and building backend game services Ability to communicate with customers of different technical and non-technical backgrounds to help them navigate technology and achieve their goals Ability to diagnose complex system failures using logging and metrics Ability to write, debug, and maintain code in Rust Embrace a “we” culture in addition to being an outstanding collaborator and communicator NICE-TO-HAVE SKILLS Experience with “games as a service” online game development Experience leading (direct management, mentoring, or guiding) engineers Ability to write, debug, and maintain code in C++ Working knowledge of Docker, Git, and Linux (including shell scripting and system configuration) At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $190,000 — $285,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you think a lot about how modular rigging systems enable quick iteration, how streamlined DCC pipelines empower artists, or how to achieve feature-quality character animation within real-time constraints? Come join us at teamLFG ! As a Tech Art Lead at teamLFG , you’ll collaborate closely with the art team to bring iconic characters to life from pre-production and beyond for a completely new world at PlayStation. Your ability to craft exceptional character rigs and efficient art workflows with a high degree of autonomy will delight animators and contribute to a class-leading action game! As a member of our tight-knit art team, you’ll balance craft expertise with a player-first mindset and willingness to contribute beyond your role to improve the prototype experience. Help build and deliver functional and innovative rigs in prototypes and establish scalable pipelines for production. Most importantly, you will work with a fun, diverse, cross-discipline team devoted to building a new universe from scratch. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Lead the Tech Art discipline & define the team’s goals while also contributing directly as an IC in early stages of the project Build and manage the Technical Art team, including mentoring and management of internal Tech Artists and overseeing external Tech Art work Work closely with the Art Director to find innovative methods for bringing the team’s artistic vision to screen Ensure visual aspects of the game are performant across all platforms (PC, console) Collaborate with project leadership to define and oversee the Technical Art roadmap, working cross team with technical artists, animators & designers to inform these decisions Create custom tools to enhance the game's visual fidelity and performance. Develop and refine workflows and pipelines that boost production efficiency and foster team collaboration. Introduce new features to the art team by showcasing examples, giving presentations, and producing relevant documentation. Engage in proactive communication with all stakeholders to ensure shared objectives and preemptively manage any challenges. REQUIRED SKILLS Experience in rigging workflow & pipeline creation Production experience with standard content creation tools such as Maya, Substance Painter, and Photoshop as well as professional experience using Python Ability to independently translate art team goals into creative solutions with a thorough understanding of cost, efficiency, and quality tradeoffs Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Experience in producing clear, concise, and accurate technical documentation, with the ability to simplify complex topics Experience in managing and resolving stability, performance, and memory issues across different platforms. Experience with Unreal Engine Experience managing external resources effectively Experience shipping across multiple platforms (PC, console) Bachelors degree or equivalent Nice to have Skills Ability to creatively solve problems for a wide variety of asks during R+D, as demonstrated by prior success in incubation environments Ability to create unique custom shaders and effects that are efficient, scalable and deliver on the team's vision. Ability to create and hook up gameplay VFX assets Experience creating/managing modular environment systems At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $143,000 — $215,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

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 will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting. This is a seat at the centre of the biggest shift selling has seen in decades. You'll be selling AI agents to companies rethinking how their entire customer experience works, which means the conversations are strategic, technical and genuinely interesting. You'll also be using AI every day to run your own territory, from qualification to research to how you read a deal, so you're not just talking about the technology, you're operating on it. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Evangelize AI transformation by spearheading the growth and adoption of Fin across your given territory With access to the best internal AI tooling and enablement the market, maintain category leading and differentiating knowledge of AI as the category evolves Manage the full sales cycle, from prospecting to close, through a highly consultative sales approach Regardless of your segment, manage a varying volume complex 6 figure new business deals (at Fin, large and xl deals exist in every segment) Articulate Fin's value and differentiation using the Command of the Message framework / MEDDPICC. If this is new to you, you will be trained on this leading sales methodology Learn from sales leaders how to drive true control of your business; from QBR, territory planning and weekly / monthly forecasting. Partner with Sales Leaders, Sales Engineers and the wider solutions team to win flagship logos in the market Represent the voice of the customer to cross-functional partners, including R&D, Product, and Marketing What skills do I need? 4+ years experience as an Account Executive 2+ years of SaaS experience selling similar products Experience meeting and exceeding quota in a closing role, with a track record of selling SaaS or DBaaS Experience, passion and success in outbound prospecting Strong sales acumen and a general interest in the businesses you work with Experience selling products with technical complexity or thorough implementation (bonus to have) AI fluent and/or deep interest in AI tooling Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes Exhibits 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.

Location: Burundi Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The Senior Global Health Security (GHS) and Infectious Disease (ID) Advisor will support the MOH Emergency Operations Center (EOC or COUSP in French) and NACP (National AIDS Control Program) in carrying out life-saving humanitarian assistance (LHA) in full alignment with the new Presidential Executive Order (EO) directives.  The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to infectious disease threats which impact public health. The Advisor will also provide support for the National HIV response to improve capacity for PEPFAR transition. The Senior GHS and ID Advisor will support the appropriate multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment-  for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to infectious disease threats with public health potential, such as zoonotic diseases. The Senior GHS & Infectious Disease Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through the GHS projects, Pandemic Fund and the Global Fund. The Senior GHS and ID Advisor will be based within the EOC and will also work with the NACP.  The Advisor will receive direction from the Director of the EOC and as needed, from the NACP Director, who will serve as the onsite Manager/Supervisor.  Familiarity with Department of State/USG programming and C/AOR experience are highly desirable as the Advisor is expected to support the implementation of the Department of State GHS and HIV portfolio. French and English fluency are required for this assignment. The Advisor will report to the U.S. Department of State on a weekly and monthly basis. Responsibilities Support multisectoral ministries in effective delivery of life-saving humanitarian assistance (LHA) through utilization of domestic and donors’ (e.g. the Pandemic Fund, Global Fund when relevant such as COVID-19 response funds). Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited: community-based active surveillance, systems capacity for detecting priority diseases/threats, data systems for monitoring, analyzing, and reporting on threats, infection prevention and control (IPC), including commodities and WASH in healthcare facilities, case management; and Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening, Risk Communication and Community Engagement, Emergency outbreak response. Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels. Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements of service delivery. If relevant for the country, review and analyze performance reports submitted to the Pandemic Fund, Global Fund (GF), and other partners. Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio. Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to: reduction in incidence and mortality for epidemic and pandemic prone diseases; strengthening systems to prevent, detect, and respond to infectious disease threats; rapid and effective responses to infectious disease outbreaks which are threats for public health. Support the implementation and expansion of best practices in GHS and outbreak response nationwide. Support MOH and other relevant Ministries in routine review of service delivery processes and outcomes. Promote the dissemination of best practices and effective models nationwide. Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats; Support of the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities; case management; Support and strengthen Emergency Management including Emergency Operating Centers (EOC or COUSP in French) and Point of Entry Screening; Risk communication. Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) and World Animal Health Information System (WAHIS) for quick responses to pandemic threats. Assist the relevant multisectoral Ministries with emergency outbreak responses as needed. Assist the relevant multisectoral Ministries to achieve the relevant GHS related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response) Assist and provide information to the Department of State to prepare U.S. Government workplans and reports. Support the relevant Ministries in effective utilization of Pandemic Fund grants; other donors’ resources, and emergency outbreak responses efforts. Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects. Consult with relevant stakeholders on required technical assistance. Assist in monitoring the progress of grant implementation. Review and analyze performance reports submitted to the Pandemic Fund and other partners. Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and DOS to ensure alignment of technical approaches in the respective GHS portfolios. Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak. Support the National AIDS Control Program (NACP or PNLP in French and other stakeholders) to improve the Government of Burundi’s capacity for PEPFAR transition. Provide technical support for the district oversight approach to improve the MOH’s capacity to oversee and delivery essential HIV services to reach and maintain HIV epidemic control Provide technical support for streamlining of health systems approaches and strategies (e.g. laboratory, reporting, supervision and training) in the context of reduced resources and preparation for PEPFAR transition. Consult with relevant stakeholders on required technical assistance. Communications: Regular conference calls with multisectoral stakeholders, US Embassy and DOS/Washington to review progress, discuss activities and address emerging issues. The Senior GHS and ID Technical Advisor should provide information and avail him/herself for calls/meetings with the US Embassy as requested. The Advisor will provide monthly reports to US Embassy/U.S. Department of State REPORTING: The Senior Advisor will provide a detailed monthly report to the U.S. Department of State, submitted by the 5th day of the following month.   Additionally, the Advisor will submit a weekly progress report to the U.S. Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced degree (MPH, MD, PhD, DVM, or equivalent) in public health, epidemiology, medicine, or a related field. Minimum of 7 years of technical and programmatic experience in global health security and infectious diseases. Demonstrated understanding of USG program implementation, USG interagency coordination, and donor landscape. Knowledge of the host country and government institutions and bureaucratic processes, policies, and regulations. This entails high-level knowledge of host government laws, policies, procedures, and institutional doctrines. Knowledge of research and analysis techniques to successfully study complex subjects and issues related to assigned program area. Familiarity with international frameworks such as IHR 2005, JEE, SPAR, UNAIDS and HIV epidemic control metrics and USG’s LHA guidance. Demonstrated experience working collaboratively across government ministries, donors, and implementing partners. Strong written and verbal communication skills in English and French. Preferred Qualifications Previous experience with USG-funded programs. Experience using digital platforms for surveillance, health information management, and emergency coordination. Knowledge of the One Health approach and integration of human, animal, and environmental health efforts. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Workplace: none We are looking for an experienced Senior Semi-Truck Sales Executive to join our team near Rockdale, IL . This role is ideal for a proven sales professional who knows the commercial trucking industry and can build strong client relationships while consistently driving results. As part of our sales organization, you will focus on growing market share, developing new accounts, and providing tailored solutions to fleet owners, logistics providers, and independent operators. Because our operations are based in Rockdale, IL, the right candidate must live nearby to meet clients, collaborate with the team, and provide in-person support throughout the sales process. Key Responsibilities: Achieve and exceed monthly and annual sales goals Prospect and develop new client relationships while maintaining existing accounts Provide consultative solutions for truck sales, financing, and after-sales support Deliver excellent customer service and foster long-term business partnerships Track market trends and competitor activity to stay ahead Requirements: 5+ years of successful sales experience in trucking, heavy equipment, or related industries Strong negotiation, presentation, and closing skills Knowledge of semi-truck specs, financing, and leasing options Excellent communication and relationship-building abilities Self-motivated, competitive, and results-driven Must be located near Rockdale, IL , with ability to meet clients and visit the office regularly Why Join Us? We offer a competitive compensation structure, uncapped earning potential, and the chance to work in a high-demand industry. You’ll have the autonomy to grow your book of business while being supported by a strong team and a dealership with a trusted reputation.

Location: London, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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.

Location: London, England 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? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. 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.

Location: Sunnyvale, CA; Menlo Park, CA Workplace: onsite OVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project Details Job Title: Data Analyst Location: Bay Area, CA (Onsite) Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions. Key Responsibilities Test new AI products and provide actionable feedback to improve functionality and user experience. Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. Collaborate in updating and refining machine learning models to boost accuracy and effectiveness. Analyze data for consistency, relevancy, and alignment with project goals. Perform quality control to identify and report anomalies, error patterns, and discrepancies. Use basic data analysis methods to extract insights and support continuous improvement. Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback. Preferred Qualifications University degree in linguistics, translation, or a related field. 3-5 years of professional linguistics experience. Strong analytical skills with the ability to detect patterns and anomalies. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Adaptability to evolving priorities and project requirements. Benefits Paid Sick Time & Paid Holiday (combined): 15 days Paid Holidays: Memorial Day and Labor Day Medical Insurance (subject to eligibility requirements) Dental Insurance Vision Insurance Health Savings Account (HSA) Voluntary Life Insurance Accident, Critical Illness, and Hospital Indemnity Insurance Telemedicine Benefit 401(k) Retirement Plan Employee Assistance Program Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Seattle, WA Workplace: onsite OVERVIEW Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance. Project Details Job Title: Data Analyst Location: Seattle (On-site) Hours: Full-time, 40 hours per week Start Date: November 2025 Employment Type: W2 Full-Time Employee Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time). This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions. Key Responsibilities Test new AI products and provide actionable feedback to improve functionality and user experience. Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines. Collaborate in updating and refining machine learning models to boost accuracy and effectiveness. Analyze data for consistency, relevancy, and alignment with project goals. Perform quality control to identify and report anomalies, error patterns, and discrepancies. Use basic data analysis methods to extract insights and support continuous improvement. Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback. Preferred Qualifications University degree in linguistics, translation, or a related field. 3-5 years of professional linguistics experience. Strong analytical skills with the ability to detect patterns and anomalies. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Adaptability to evolving priorities and project requirements. Benefits Paid Sick Time & Paid Holiday (combined): 15 days Paid Holidays: Memorial Day and Labor Day Medical Insurance (subject to eligibility requirements) Dental Insurance Vision Insurance Health Savings Account (HSA) Voluntary Life Insurance Accident, Critical Illness, and Hospital Indemnity Insurance Telemedicine Benefit 401(k) Retirement Plan Employee Assistance Program Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.