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Location: NZ: Wellington: Xero One (19-23 Taranaki St); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3) Workplace: Hybrid The role and its impact Xero’s customers discover, learn about and get support through our customer-facing web experiences, and you’ll help shape them. As our Lead Engineer, you’ll design and build modern React + next.js and TypeScript experiences that connect Xero’s core ecosystem with our public web presence, from the first visit to getting help. You’ll set the architecture for a multi-site platform that brings together React and Salesforce Experience Cloud surfaces, and lead one of our two engineering pods as the platform grows. This is a chance to build something modern rather than maintain a monolith. You’ll make performance and accessibility the default, explore AI and agentic solutions in customer experiences, and partner with Product, Marketing and Support to bring new ideas to life. You will Go Bold by challenging the status quo, and Go Further by making the experience better for customers around the world. The team and how they connect Our Customer Platforms team build the experiences customers use to learn, get support and find what they need. You’ll work across two closely connected pods, we work in an agile way, with regular planning, retros and demos, and we value open dialogue and psychological safety. The team is currently working on - Tech stack: TypeScript, React and Next.js, with API-driven content layers, a headless CMS, a composable architecture and AWS backend infrastructure. - Reimagining parts of Xero Central to deliver greater value through a modern, frictionless customer expereince. - Running a hybrid React and Salesforce Experience Cloud estate while bringing in new AI-powered features. - Shaping the target architecture for Xero’s customer experiences, including agentic AI proofs of concept. Where and how you can work This role can be based in Wellington or Auckland. Our hybrid approach asks for around one day per week in the office as a minimum, so you can connect with your pod and stakeholders in person. Here are some of the things we’re looking for, for this role: - You bring deep experience with TypeScript, React and Next.js at architecture level, including designing high-performance, content-rich multi-site platforms. - Migrating live, high-traffic sites without disruption is familiar territory, and you can plan a careful, low-risk path to get there. - Performance and accessibility are second nature to you, with a working knowledge of Core Web Vitals and WCAG. - Coaching engineers is part of how you lead, and you’ll Go Together with teams as they build new skills in React and AI. - You’re comfortable leading through influence, and you Go Bold by pushing back constructively when something isn’t right for customers. - Experience across e-commerce, media, agency or other high-traffic web environments gives you fresh views on performance and customer experience. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact Xero’s customers discover, learn about and get support through our customer-facing web experiences, and you’ll help shape them. As our Lead Engineer, you’ll design and build modern React + next.js and TypeScript experiences that connect Xero’s core ecosystem with our public web presence, from the first visit to getting help. You’ll set the architecture for a multi-site platform that brings together React and Salesforce Experience Cloud surfaces, and lead one of our two engineering pods as the platform grows. This is a chance to build something modern rather than maintain a monolith. You’ll make performance and accessibility the default, explore AI and agentic solutions in customer experiences, and partner with Product, Marketing and Support to bring new ideas to life. You will Go Bold by challenging the status quo, and Go Further by making the experience better for customers around the world. The team and how they connect Our Customer Platforms team build the experiences customers use to learn, get support and find what they need. You’ll work across two closely connected pods, we work in an agile way, with regular planning, retros and demos, and we value open dialogue and psychological safety. The team is currently working on - Tech stack: TypeScript, React and Next.js, with API-driven content layers, a headless CMS, a composable architecture and AWS backend infrastructure. - Reimagining parts of Xero Central to deliver greater value through a modern, frictionless customer expereince. - Running a hybrid React and Salesforce Experience Cloud estate while bringing in new AI-powered features. - Shaping the target architecture for Xero’s customer experiences, including agentic AI proofs of concept. Where and how you can work This role will be based in Melbourne. Our hybrid approach asks for around one day per week in the office as a minimum, so you can connect with your pod and stakeholders in person. Here are some of the things we’re looking for, for this role: - You bring deep experience with TypeScript, React and Next.js at architecture level, including designing high-performance, content-rich multi-site platforms. - Migrating live, high-traffic sites without disruption is familiar territory, and you can plan a careful, low-risk path to get there. - Performance and accessibility are second nature to you, with a working knowledge of Core Web Vitals and WCAG. - Coaching engineers is part of how you lead, and you’ll Go Together with teams as they build new skills in React and AI. - You’re comfortable leading through influence, and you Go Bold by pushing back constructively when something isn’t right for customers. - Experience across e-commerce, media, agency or other high-traffic web environments gives you fresh views on performance and customer experience. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Remote / Hybrid (Los Angeles-based preferred) Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote / Hybrid (Los Angeles-based preferred) Annual salary: USD 85,000 - 115,000 per year (Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.) Type: Full-time Reports to: Senior Game Producer About the Role As an Associate Producer, you will support the end-to-end development of motion-based games — from concept through launch — ensuring projects stay on track, teams stay aligned, and our player experience remains magical, intuitive, and family-friendly. You’ll work closely with design, engineering, art, QA, and external partners to coordinate deliverables, manage schedules, and maintain clear communication across stakeholders. This is an ideal role for someone who loves games, thrives in fast-moving environments, and cares deeply about creating meaningful experiences for kids and families. What You’ll Do Production & Execution Maintain production schedules, and milestone tracking Participate in and help run stand-ups and cross-functional sync meetings Track dependencies, risks, and blockers across teams Ensure builds and deliverables are on time and aligned with scope Prepare milestone reports and stakeholder updates Motion-Based Gameplay Support Coordinate implementation of camera-based motion gameplay systems Support playtesting with kids and families; synthesize feedback into actionable insights Track motion calibration, usability improvements, and accessibility features Ensure experiences are intuitive for a wide age range and skill levels Evaluate milestones, write build notes and help compile stakeholder feedback. Kids & Family Focus Advocate for age-appropriate design and safety considerations Support external brand or IP collaboration workflows when applicable Keep fun, accessibility, and inclusivity at the center of development Cross-Functional Collaboration Act as the communication bridge between creative, technical, and business teams Partner with QA to prioritize and track bug resolution Support publishing needs (build delivery, feature documentation, gameplay capture coordination) Help coordinate external development partners when needed What We’re Looking For Required 3+ years experience in game production or project management Experience working on shipped game titles (mobile, console, or interactive platform) Strong organizational and communication skills Familiarity with Agile/Scrum workflows Experience with tools such as GitHub, Notion, Slack, Asana, or equivalent Passion for kids, family entertainment, and active play Flexibility to collaborate across global time zones, including Asia (particularly Hong Kong), with the understanding that recurring meetings and coordination will be required outside standard U.S. business hours. Bonus Points Experience with motion-based, camera-based, or fitness-style games Experience working with licensed IP or external partners Background in consumer hardware or platform-based products Experience conducting or coordinating playtests with children Who You Are Highly organized and detail-oriented Proactive problem solver Comfortable operating in a fast-growing startup environment Collaborative and low-ego Energized by building products that get kids moving and families playing together Comfortable with ambiguity Able to take initiative in a fast-paced environment Why Join Nex Playground? Build category-defining motion gaming experiences Help shape a growing platform at an exciting stage Work with a passionate team focused on joy, movement, and meaningful play Make a real impact on how families experience games together We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Join us on our mission to help everyone shape the tools that shape their lives. At Notion, we believe in building software that adapts to how people work, not the other way around. As we scale globally, we need someone who can ensure our revenue teams are equipped with the knowledge, tools, and processes to succeed across every geography while maintaining our core values and approach to customer relationships. We're looking for a Revenue Enablement Program Manager to own the development and implementation of global enablement programs that scale seamlessly across regions. You'll spend 50% of your time developing and locally implementing these global programs, and 50% tuning enablement initiatives to meet regional needs—all while maintaining a globally aligned selling process that honors local market nuances. This role sits at the intersection of strategy and execution, requiring someone who can think globally while acting locally. You'll leverage AI and automation to build scalable enablement solutions that empower our revenue teams to deliver exceptional customer experiences worldwide. WHAT YOU'LL ACHIEVE Global Program Development & Implementation (50%) - Champion our global operating cadence to ensure the Japan and Korea region is successfully executing our GTM strategy as an extension of the Global Revenue Operations team - Design, develop and manage comprehensive enablement programs that can be deployed globally while maintaining consistency in our selling methodology and GTM goals - Partner with Revenue Operations, Sales Leadership, and Product Marketing to create scalable training curriculum, design content, program manage SME stakeholders, develop certification programs, deploy continuous training frameworks frameworks and more - Build and maintain our global sales playbook, ensuring it reflects best practices that work across diverse markets - Leverage AI tools and automation to create personalized learning paths, real-time coaching recommendations for revenue team members and leverage the work of our Enablement team - Establish measurement frameworks to track program effectiveness and ROI across all regions — you'll close the loop and report out on progress - Lead cross-functional initiatives to align product releases, go-to-market strategies, and enablement rollouts Regional Tuning & Localization (50%) - Collaborate with regional sales and GTM leaders to identify local market dynamics, competitive landscapes, and customer behavior patterns - Adapt global programs to address regional needs while maintaining core methodology and brand consistency - Create region-specific content, case studies, and competitive battle cards that resonate with local markets - Build feedback loops between regional teams and global program development to continuously improve our approach - Support regional team leads in coaching and reinforcing enablement initiatives within their teams ABOUT YOU Experience & Expertise - 7-10+ years of experience in sales enablement, revenue operations, or similar go-to-market roles - Proven track record of building and scaling enablement programs across multiple geographies - Expert in adult learning methodologies and creating compelling multimodal content - High proficiency with the enablement tool stack including emerging AI and automation solutions (ideally AI is already embedded into your workflow) - Experience working with global sales teams and understanding of diverse market dynamics - Strong analytical skills with experience measuring program impact and ROI Skills & Qualities - Strategic thinker who can balance global consistency with local relevance - Excellent communication and presentation skills, comfortable working with senior leadership - Natural collaborator who thrives in cross-functional environments - Data-driven approach to decision making with strong attention to detail - Adaptable and comfortable with ambiguity in a fast-growing environment - Passionate about developing people and helping teams reach their potential - Fluency in Japanese and English Technical Requirements - Experience with CRM systems (Salesforce preferred), learning management systems, and sales enablement platforms - Proficiency with AI tools for content creation, data analysis, and process automation - Strong project management skills with experience managing multiple initiatives simultaneously - Comfortable with sales analytics and performance metrics NICE TO HAVES - Experience at a high-growth SaaS company - Background in sales, customer success, or revenue-generating roles - International work experience or familiarity with diverse cultural business practices - Experience with Notion or similar productivity tools - Certification in sales methodologies (MEDDIC, Challenger, etc.) - Fluency in Korean #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 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: Armenia; Lebanon; Russia We are seeking a highly articulate, efficient, and bilingual Medical Coordinator & Front Desk Specialist to support our active General / Family / Internal Medicine practice. In this role, you will serve as the administrative backbone of our clinic—managing a high volume of inbound and outbound patient calls ( 500–1,000 calls per week across the practice ), verifying insurance coverage, processing medication refills, managing prior authorizations, and maintaining pristine schedules within our EHR system. Fluency in both English and Armenian is strictly required to effectively serve our patient community. Key Responsibilities 1. Patient Communications & High-Volume Call Management Handle high-volume inbound and outbound phone calls using our cloud phone system ( Nextiva VOIP ). Answer patient inquiries, schedule and confirm appointments, and triage urgent calls with a warm, professional, and clear telephone manner in both English and Armenian. 2. Insurance Verification & Prior Authorizations Verify patient insurance eligibility, copays, deductibles, and benefits prior to scheduled appointments. Initiate, submit, and track insurance prior authorizations for procedures, diagnostic imaging, and medications. 3. Prescription Refills & Clinical Administrative Support Process medication refill requests following clinic protocols, verifying prescription history in the EHR, and routing notes to providers. Manage provider schedules, optimize appointment calendar flow, and perform daily patient outreach to minimize missed visits. 4. EHR & Data Management Manage patient charts, registration records, and scheduling workflows within Athenahealth EHR (or similar platforms). Utilize Microsoft Excel and Office tools to track daily administrative tasks, referral logs, and task lists. Qualifications & Requirements Language Mastery (Non-Negotiable): Superior spoken and written communication skills in both English and Armenian . Clinical Experience: 1–2 years of experience in General, Family, or Internal Medicine (preferably in a Front Desk, Medical Assistant, or Coordinator role). Highly qualified candidates with strong medical backgrounds in other specialties will also be considered. Core Competencies: Proven experience managing high call volumes, insurance verifications, prior authorizations, prescription refills, and patient scheduling. Technical Proficiency: Proficient in Microsoft Excel and Office Suite. Requirements Preferred Qualifications EHR: Hands-on experience with Athenahealth (Athena) EHR . Phone Systems: Familiarity with Nextiva VOIP or cloud-based phone platforms.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

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Location: Nicaragua; Honduras; Ecuador; El Salvador; Guatemala; Colombia We are seeking a detail-oriented Virtual Medical Administrative & Patient Engagement Coordinator to support our Medical Wellness and Health Optimization practice. The ideal candidate has prior U.S. healthcare administrative experience and excels at navigating insurance eligibility transitions, outbound patient engagement, and multi-platform scheduling with speed and accuracy. Key Responsibilities 1. Medical Administration (Primary Priority) Collect insurance details, process patient intake/registration, and verify eligibility and benefits (VOB). Enter and update demographic and clinical administrative data in Tebra . Support cash-pay workflows and document tracking in Avexcia . Upload medical records and track missing documentation. Provide administrative support to the billing team during the insurance rollout. 2. Patient Engagement & Outbound Calls (Secondary Priority) Make outbound calls to existing and prospective patients to convert inquiries into bookings. Follow up on incomplete registrations and unconfirmed appointments. Maintain detailed records of all patient interactions in the PM system. Direct and escalate clinical questions to medical providers appropriately. 3. Reception & Scheduling (Third Priority) Answer inbound phone calls using Ooma . Manage, schedule, and reschedule appointments in Mindbody/Legacy . Answer general patient inquiries and route messages to appropriate team members. Requirements Experience: Strong medical administrative or virtual medical assistant experience at a U.S.-based practice. Insurance Knowledge: Familiarity with insurance verification, eligibility checks, patient registration, and practice management (PM)/EHR systems. Software Familiarity: Experience using Tebra and Mindbody (or comparable systems like Kareo, eClinicalWorks, etc.). Communication: Excellent spoken and written English with a professional, warm phone demeanor for outbound calls. Skills: Strong data entry skills, high attention to detail, and ability to work independently. Compliance: Working knowledge of HIPAA rules and standard U.S. patient privacy guidelines. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skillset and experience. The schedule is Monday through Friday, 8am-5pm, CST.

Location: South Africa About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the company Our client is an established property management and estate agency based in Manchester, specializing in the residential and commercial sectors. With over 20 years of experience in the local market, the team manages an extensive portfolio of more than 800 properties, ranging from luxury professional apartments to dedicated student housing and commercial lettings. They pride themselves on a bespoke approach to property management, focusing on achieving high yields for landlords while providing modern, high-quality living spaces for tenants across key urban hubs. The team has crafted a unique, results-driven way of working that prioritizes market expertise and a hassle-free experience for their diverse clientele. Operating with a focus on growth and efficiency, they offer a collaborative environment where local knowledge meets a commitment to service excellence. This is an excellent opportunity to join a stable yet forward-thinking property firm that remains a prominent fixture in the North West’s competitive real estate market. Job Type: Full-time (GMT 9:00 AM – 5:00 PM) Job Summary As the first point of contact for a thriving Manchester-based real estate agency, you will play a critical role in driving the growth of our residential and commercial portfolios. This role is more than just answering phones; it is about being the engine of our sales pipeline. You will be responsible for qualifying high-intent leads, managing major property portal enquiries, and ensuring every prospective buyer, seller, landlord, and tenant receives a world-class experience from their very first interaction. Key Responsibilities Act as the professional first point of contact for all inbound calls and digital enquiries. Manage and respond to listing leads from Rightmove, Zoopla, OnTheMarket, and SpareRoom. Qualify prospects effectively to determine their needs and urgency before booking viewings, valuations, or consultations. Manage the team’s Google Calendar, ensuring all appointments are scheduled accurately. Maintain a structured CRM, segmenting leads into Hot, Warm, and Cold categories. Proactively follow up with unconverted opportunities and re-engage dormant leads in the database. Support email and SMS nurturing campaigns to keep the brand top-of-mind for property investors and professionals. Track and report on pipeline performance, ensuring zero missed enquiries. Requirements Proven experience in Lead Qualification and Appointment Setting. Previous experience within the Real Estate or Property industry. Exceptional English communication skills with a professional and confident phone manner. High proficiency in CRM management and data entry. Expert-level command of Google Workspace (Calendar, Drive, Docs) and Microsoft Office. Strong organizational skills with the ability to manage high enquiry volumes independently. A proactive "follow-up" mentality and extreme attention to detail. Nice-to-Haves Familiarity with the Manchester property market. Experience in managing multi-channel lead generation (phone, email, and property portals). Background in customer service or front-desk support in a fast-paced environment. Benefits 🌎 Fully remote role 🎯 Performance-driven culture with clear KPIs and advancement pathways

Location: Denmark We are looking for a Senior Backend Engineer to join a large-scale issuer processor migration programme within the payments domain. The role is focused on building and integrating high-volume backend systems, supporting complex platform migrations, and ensuring the reliability of business-critical services throughout the programme lifecycle. Location Denmark is the preferred location for this role. What you'll be working on Design, develop, and maintain backend services using Go/Golang Build integrations between complex client and vendor platforms Work with transaction processing systems, APIs, and event-driven architectures Contribute to distributed systems and microservices-based solutions Support technical integration activities across multiple platforms Perform technical analysis related to migration and integration initiatives Participate in testing throughout different stages of the migration programme Investigate and resolve technical issues arising during integration and migration Work in cloud-native environments using modern engineering practices Help ensure the stability, reliability, and continuity of high-availability, business-critical systems Collaborate closely with client, vendor, and engineering teams throughout the programme lifecycle Requirements What we're looking for Strong commercial experience with Go/Golang Proven experience designing and building complex backend systems Solid understanding of distributed systems and microservices architecture Hands-on experience with event-driven platforms such as Kafka Strong knowledge of API design and system integrations Experience working on large-scale migration or integration programmes Experience with cloud-native environments and modern engineering practices Ability to work with high-volume, high-availability backend services Experience troubleshooting complex technical issues across integrated systems Strong collaboration skills and confidence working with both client and vendor teams Relevant domain experience Experience in any of the following areas would be highly valuable: Card payments Issuer processing Banking Fintech Transaction switching Payment infrastructure Other transaction-heavy or real-time processing environments The ideal candidate combines strong backend engineering expertise with practical experience working on complex integrations and migration programmes, particularly in environments where reliability, scalability, and continuity are critical.

Location: London, United Kingdom; Poland; France; Switzerland; Monaco Remote-First | Working hours: UK or CET time zone | Full-time The role Reporting directly to the Head of Investor Relations, you will support how Re7 is positioned with institutional allocators and the wider market. This includes helping to prepare and maintain investor materials and marketing content, and contributing to the firm’s media presence. The role offers broad exposure to investor relations and marketing at an institutional DeFi investment firm. What you'll do BD & IR Support Build and maintain targeted investor and partner lists for outreach Keep the CRM and the data room up to date Maintain fund performance, AUM and factsheets across hedge fund databases Support preparation of DDQs, and maintain a library of standard responses Marketing & PR Build and maintain relationships with crypto, financial and fund industry media for Re7 Capital and Re7 Labs Track speaking opportunities, podcasts and award submissions on a rolling calendar Log media coverage and appearances, and keep the website up to date Contribute ideas to campaign and content planning Schedule social media posts and track performance across X, LinkedIn and Telegram Create branded visuals in Canva and lay out research papers and marketing materials Support the production of newsletters, press releases and other written content Shortlist venues, request quotes and coordinate logistics and branding for events Requirements At least 1 year of experience in a finance-related role (e.g. investment management, real estate, private markets, fintech or crypto) A genuine interest in DeFi and digital asset markets Excellent written English Highly organised, with strong attention to detail and the ability to manage multiple deadlines Good working knowledge of Canva and Google Workspace Hands-on experience using AI tools, including prompt design and building simple workflows or automations (e.g. with Claude or no-code tools) Able to work closely to a brief and handle confidential information with discretion Benefits Remote-first structure with opportunities for in-person collaboration Collaborative, high-performance culture Exposure to cutting-edge crypto and digital asset strategies Competitive compensation package