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Location: Ukraine Intetics Inc. is a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions. Based on its proprietary business model of Remote In-Sourcing®, advanced Technical Debt Reduction Platform (TETRA™), and measurable quality management platform (Predictive Software Engineering), Intetics enables clients to achieve measurable business results. Position Details Position: Senior Full-Stack Engineer (PHP/Angular) Level: Senior Technologies: PHP 8.3, Symfony 7.2, TypeScript, Angular 20, AWS, PostgreSQL, Docker, Kubernetes Location: Remote — work from anywhere English level: Upper-Intermediate (B2) or higher Role Description We are seeking a skilled Senior Full-Stack Engineer to join our team on a cutting-edge workplace management platform that transforms every workspace into a vibrant hub. The platform helps organizations boost productivity, streamline operations, and foster collaboration through seamless integration with popular workplace tools. You will take part in building scalable, high-performance SaaS solutions, contributing to both frontend and backend development, collaborating with product teams, and driving technical excellence across the platform. Main Features: Desk Booking Room Booking Space Management Workplace Events Responsibilities: What You’ll Do: Build high-performance, scalable PHP SaaS applications. Create interactive frontend applications with Angular 17+ and TypeScript. Develop solutions for web & mobile using RESTful APIs on AWS. Collaborate closely with full-stack/backend engineers, designers, and product teams. Contribute to technical decisions and architectural direction. Write clean, maintainable, and secure code with automated tests. Create and maintain technical documentation. What We’re Looking For: 5+ years of experience in software engineering. Proven experience building large-scale consumer web or mobile applications. Strong PHP + Symfony skills (Laravel knowledge is a plus). Solid experience with TypeScript and Angular (17+). Good understanding of MVC and SOLID principles. Experience with REST APIs and multi-tenancy is a plus. Familiarity with Agile/Scrum methodology. Excellent teamwork and communication skills. Bachelor’s degree in Computer Science or related field. Our Tech Stack: Frontend: TypeScript, Angular 20 Backend: PHP 8.3, Symfony 7.2, REST, API Platform, Lambda (Node.js) Database: PostgreSQL, Redis (ElastiCache) Tools: Jira, Jenkins, GitHub, Automated Testing Cloud: AWS (20+ services), Kubernetes, Docker Mobile: Android (Kotlin, Java), iOS (Swift) AI-friendly tools: Cursor, ChatGPT, Junie (for bug fixing & test generation)

Location: Home based - EMEA Be the voice of Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We’re looking for an energetic and creative Senior Communications Manager with experience in analyst relations (AR) to join our communications team. The ideal person for this role will drive communications strategy through the analyst relations channel in order to increase Canonical’s visibility among industry influencers and shape market perception. Canonical serves a diverse customer base, ranging from end users to startups, large enterprises and governments. Our portfolio is broad in scope and in reach. The ideal candidate is passionate about technology, curious about shaping the evolving AR field, and relishes the challenge of communicating a diverse product range based on trusted open source. The AR field is becoming increasingly data-driven. Market research is also changing as a discipline thanks to AI models. As the voice of Canonical towards analysts and industry influencers, you will define and implement a strategy for data-driven engagement across portfolio areas, building on key narratives, developing new ones, and establishing relationships to advance our position across markets and foster long-term brand equity. This role will involve close partnership with the Product Management function within the company, as well as the Alliances, Sales and Marketing teams, to communicate key product news and announcements and manage perception of Canonical and its range of products among analysts. You will have the opportunity to shape the AR field in the company and help our organization stay ahead of the curve using technologies like AI to conduct market research and assess market perception, delivering insights to the business. This is a senior position and sits in the communications team reporting to the Director of Communications. Location: This role will be based remotely in the EMEA region. What your day will look like Prepare and execute analyst-focused communications plans for product announcements, new partnerships and other initiatives in line with our go-to-market strategy Proactively look for ways to use new technologies like AI to analyze market trends and assess analyst perception and sentiment of Canonical and its products Understand GenAI platforms developed by analyst firms and ensure they contain the right information about Canonical’s portfolio Craft and deliver compelling narratives about Canonical and its products in line with our company vision Manage analyst relationships directly, coordinating touchpoints throughout the year both through online briefings and industry events Measure the impact of the AR program, reporting regularly on progress to leadership, implementing the necessary tooling to improve collaboration and managing spend Proactively position the company in key analyst reports to drive recommendations and strengthen the company’s brand Support the Director of Communications on Corporate Communications initiatives What we are looking for in you Extensive experience in communications with proven achievements in the AR field and market research Experience managing technology communications (agency or in-house) or global AR programs A track record of delivering innovative and successful communications campaigns in the technology space, and enhancing company positioning through AR programs Experience in cloud/SaaS/open source technology An analytical eye and the ability to develop measurement frameworks to inform decision making at leadership level Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams to ensure alignment between campaign objectives and PR/AR initiatives Excellent verbal and written communication skills Proven ability to prioritize and differentiate what matters from the noise, meeting deadlines without sacrificing quality Affinity for planning is a must, experience with project management tools like Jira is an advantage Background in product management or product marketing is a plus Willingness to travel up to 4 times a year for internal events What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑‍💼Employee Assistance Programme 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’ ✈️Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: United States (remote) Department: Product Development Reports to: Chief Product and Technology Officer WHO WE ARE At Acclaro, we're more than a localization company. We're a global team of language enthusiasts, cultural connectors, and technology innovators. Our mission is to help brands speak the world’s languages and resonate deeply across cultures by blending human expertise with cutting-edge technology. With over two decades of experience and our proprietary platform, we support some of the world’s most recognizable brands in expanding their global reach. Join us on our journey to be the model localization company of the next decade, one that’s loved by clients, colleagues, and communities alike. YOUR NEXT ROLE As a Product Manager at Acclaro, you’ll drive the evolution of our AI‑powered platform ecosystem, shaping experiences that help global brands scale content effortlessly and intelligently. This is a high‑impact, technically rich role where you’ll blend strategy, execution, and AI‑accelerated workflows to bring clarity and momentum to complex product initiatives. You’ll partner closely with Engineering, Data, Customer Success, and external clients to define what’s possible with next‑generation localization and content automation. If you thrive at the intersection of AI innovation, systems thinking, and user‑centric product design, this role puts you at the center of Acclaro’s future. WHAT YOU’LL DO Build and maintain an AI‑augmented product operating system, using LLMs, agents, and automation to accelerate discovery, PRD creation, validation, and backlog management Own the strategic roadmap for Acclaro’s proprietary platforms, aligning product direction with business goals and customer needs Translate high‑level objectives into actionable feature sets, clear technical requirements, and measurable outcomes Shape platform scalability and ecosystem growth through API‑first strategies and third‑party integrations Lead research and technical discovery across LLMs, RAG, and emerging technologies to keep Acclaro on the cutting edge of AI‑driven localization Use data and AI‑driven analytics to track KPIs, validate product performance, and drive continuous optimization Partner cross‑functionally with Sales, Marketing, Engineering, Customer Success, and Linguistic Services to ensure a cohesive, high‑quality product experience THIS ROLE IS FOR YOU IF YOU Have 8+ years of SaaS product management experience, moving products from idea to launch with autonomy Hold a bachelor's Degree in a related field or equivalent professional or military experience Bring an AI‑first approach to Product Management and actively use AI to accelerate your workflow and decision-making Are fluent in engineering and able to engage deeply on topics like architecture, APIs, security, and compliance Treat your own productivity as a product—constantly optimizing processes, systems, and workflows Excel in distributed, fast‑moving environments where ownership and clarity matter Balance user empathy with business strategy to craft intuitive, high‑impact experiences for global users YOU’LL STAND OUT IF YOU Are an AI power user who has built personal agents or automated workflows to improve your own productivity Think in platform ecosystems, with experience designing API‑first products and third‑party integration strategies Hold advanced credentials such as an MBA, MS in Computer Science, or AWS/Azure certifications Bring familiarity with localization or multilingual content workflows WHY JOIN ACCLARO? Global Team, Local Impact: Collaborate with colleagues around the world while making meaningful contributions locally. People-First Culture: Work in a supportive, inclusive environment that values your voice and well-being. Flexible Work Style: Enjoy remote work, flexible PTO, and a healthy work-life balance. Career Growth: Access mentorship, development programs, and clear pathways for advancement. Impactful Work: Help top-tier brands succeed globally while promoting cultural understanding and connection. Competitive Compensation & Benefits: Market-leading pay, bonuses, and comprehensive medical and retirement plans. Recognition & Support: Be seen and celebrated through regular recognition programs and supportive leadership. VALUES WE LIVE BY Passion with a Purpose – We’re energized by our work and why it matters. Go the Extra Mile – We strive for excellence and proactive value. Honesty in Action – We act with integrity, openness, and respect. Own It, Do It – We follow through, take accountability, and take pride in our outcomes. INCLUSION & EQUAL OPPORTUNITY - Acclaro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs.

Location: Colombia; Brazil; Argentina; Uruguay; Peru At NetWitness, we empower organizations to detect, respond to, and neutralize cyber threats in real time. Our cutting-edge security solutions provide deep visibility, advanced threat intelligence, and rapid incident response capabilities to help businesses stay ahead of evolving cyber threats. Our Software Engineers create solutions. As part of the team, you will analyze the customer’s business goals, needs and general business environment to design technical system answers. Responsibilities: • Contribute to the design and architecture of new or re-engineered software/storage environments • Prepare written software/storage specifications for complex products from architectural diagrams and documents • Create and review design, functional, technical and/or user documentation, as needed • Develop, review and implement test strategies for software products and systems/for storage products and systems Requirements • 5+ years of Software development experience • Hands on development experience using Java technology stack with focus on architecture and design. • Hands-on in Java Programming, J2EE, Spring, Hibernate, RestAPI, Data Structures, Design Patterns, Oracle Database, PL/SQL • Experience in application servers with prime focus on Tomcat. • Experience in messaging systems such as RabbitMQ. • Experience working in Linux/Unix environments.Must be hands on with Object Oriented concepts along with passion for design patterns and applicability. • Relevant experience in Java frameworks like Spring Microservices, Spring-Boot, Hibernate, JPA etc.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets Understand the needs of underserved communities and translate them into scalable technical and product solutions Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers Develop multilingual and accessibility capabilities across platforms Build systems to measure and demonstrate social impact at scale Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: Have 6+ years of practical experience as a full-stack software engineer Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs Care deeply about using technology for social good and want your engineering work to have meaningful impact Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: Experience with international markets, multilingual products, or accessibility features Background in nonprofit technology, social impact startups, or mission-driven organizations Experience with AI/ML products and LLM applications Familiarity with building products for resource-constrained environments or emerging markets Understanding of compliance requirements in regulated sectors Startup experience, particularly in scaling products from zero to one 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: $320,000 — $405,000 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: 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: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $175,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: 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: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

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: 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.

Location: Dubai, United Arab Emirates AHS, a leading name in luxury real estate development, is actively seeking a driven and results-oriented Luxury Sales Manager to join our elite sales team. This pivotal role involves overseeing the sales process for high-end properties, managing a talented team of sales professionals, and fostering relationships with discerning clients in the luxury market. The Luxury Sales Manager will drive strategies to cultivate sales growth and ensure an exceptional customer experience. Responsibilities Lead and manage the sales team to achieve and exceed sales targets for luxury properties. Develop and execute innovative sales strategies tailored to high-net-worth clientele. Monitor and analyze sales performance, providing coaching and support to team members. Build and maintain strong relationships with clients, brokers, and key industry players. Oversee the entire sales cycle from prospecting to closing, ensuring exceptional service at every stage. Collaborate with the marketing department to create targeted campaigns that resonate with luxury buyers. Stay informed on luxury market trends, pricing strategies, and competitor activity. Provide regular sales reports and forecasts to senior management, highlighting opportunities for improvement. Organize and participate in open houses, property showings, and networking events. Enhance the sales process by integrating new technologies and best practices. Requirements Bachelor's degree in Business Administration, Marketing, or a related field. Minimum of 5 years of sales experience in luxury real estate or high-end retail, with a proven track record of success. Strong leadership and team management skills. Exceptional communication, negotiation, and interpersonal abilities. Deep understanding of the luxury market and trends. Proficiency with CRM systems and sales analytics tools. Ability to develop and implement effective sales strategies. Highly motivated with a passion for luxury sales and customer service. Strong organizational skills and the ability to multitask. Valid real estate license is preferred. Benefits Why Join AHS? Innovative Environment : Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market. Career Advancement : Enjoy opportunities for professional growth and development, with a clear path for career progression. Exclusive Properties : Work with a portfolio of some of the most prestigious and exclusive properties in the market. Collaborative Culture : Join a team-oriented environment where collaboration and mutual support are highly valued. Client-Centric Approach : Be part of a company that prioritizes exceptional customer service and client satisfaction. Competitive Compensation : Receive a competitive salary and benefits package that rewards your hard work and dedication. Global Network : Leverage a robust network of industry contacts and high-net-worth clients. Cutting-Edge Technology : Utilize the latest sales management software and CRM systems to enhance your efficiency and effectiveness. Recognition and Rewards : Benefit from a culture that recognizes and rewards outstanding performance and achievements. Work-Life Balance : Enjoy a supportive work environment that values work-life balance and employee well-being. Please Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies Experience automating workflows or building automations to handle the repeatable components of a sales process Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs 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: $290,000 — $360,000 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: 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.