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Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building a high-performance and interactive livestream product embedded in our in-app social community. You’ll own the end-to-end Live experience: scalable video & chat , engagement & monetization loops that translate into trading conversion, and a robust safety & moderation stack. What You’ll Be Doing Drive trading conversion via gamification & incentives, including paid digital goods, fan economy, leaderboards and more ways to deepen streamer-fan relationships. Build conversion surfaces, including contextual CTA modules (including follow, trade, set reminder, watchlist, etc.) and explore AI capabilities to create innovative event-driven boosts (e.g. market news, token recommendations, etc.). Scale Live video & chatroom to 100k CCUs, drive the technical roadmap for video quality improvements across the platform, including areas like encoding, delivery, and playback optimizations. Collaborate closely with cross-functional teams, including design, engineering, data, growth, risk, operations, and business stakeholders, to define metrics and execute a product roadmap. Partner with the recommendation algorithm team to continuously improve discovery of Live streams. Own your GTM by partnering with business development, marketing and PR teams to maximize the impact of the Live product. What We Look For In You 5+ years experience as a product manager, and solid experience in shipping live streaming, creator platforms, gaming, entertainment, or social products. Hands-on with Trust & Safety or content moderation tooling. Adequate experience in crypto industry understanding of trading funnels and risk/compliance constraints. Able to think and communicate logically, data sensitive and can accurately grasp customer mindsets. Possess the ability to identify and break down problems quickly. Strong in execution, have good communication and project management skills, can collaborate cross-functional resources to solve problems and push projects to deliver results on time. Background in both early-stage (0-1) and scaled product (1-100) environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building a high-performance and interactive livestream product embedded in our in-app social community. You’ll own the end-to-end Live experience: scalable video & chat , engagement & monetization loops that translate into trading conversion, and a robust safety & moderation stack. What You’ll Be Doing Drive trading conversion via gamification & incentives, including paid digital goods, fan economy, leaderboards and more ways to deepen streamer-fan relationships. Build conversion surfaces, including contextual CTA modules (including follow, trade, set reminder, watchlist, etc.) and explore AI capabilities to create innovative event-driven boosts (e.g. market news, token recommendations, etc.). Scale Live video & chatroom to 100k CCUs, drive the technical roadmap for video quality improvements across the platform, including areas like encoding, delivery, and playback optimizations. Collaborate closely with cross-functional teams, including design, engineering, data, growth, risk, operations, and business stakeholders, to define metrics and execute a product roadmap. Partner with the recommendation algorithm team to continuously improve discovery of Live streams. Own your GTM by partnering with business development, marketing and PR teams to maximize the impact of the Live product. What We Look For In You 5+ years experience as a product manager, and solid experience in shipping live streaming, creator platforms, gaming, entertainment, or social products. Hands-on with Trust & Safety or content moderation tooling. Adequate experience in crypto industry understanding of trading funnels and risk/compliance constraints. Able to think and communicate logically, data sensitive and can accurately grasp customer mindsets. Possess the ability to identify and break down problems quickly. Strong in execution, have good communication and project management skills, can collaborate cross-functional resources to solve problems and push projects to deliver results on time. Background in both early-stage (0-1) and scaled product (1-100) environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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.

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: Almaty, Kazakhstan We are looking for an experienced Flutter Developer to join a mobile application modernization project in Almaty. The role involves rebuilding existing native iOS and Android applications as a cross-platform Flutter solution, improving configuration flexibility, and contributing to the overall quality and maintainability of the product. Work format Hybrid, with on-site work at the client's office in Almaty. What you'll be working on Rebuild existing native mobile applications in Flutter Migrate functionality from iOS and Android solutions currently developed in Swift and Kotlin Replace hardcoded endpoint references with configurable variables Design and develop scalable cross-platform mobile functionality Integrate REST APIs and work with JSON-based data Optimize API communication and application data handling Implement and maintain application state management using BLoC and Provider Develop, test, release, and support mobile applications throughout their lifecycle Contribute to build automation, version control, and CI/CD processes Write and maintain unit, widget, and integration tests Work with mobile QA and automation tools Collaborate within an Agile environment using Scrum and Kanban practices Share technical knowledge with the team and support onboarding of new team members Contribute to AI-related functionality and initiatives within the project Requirements What we're looking for Strong hands-on experience with Flutter Solid knowledge of RxDart Experience integrating REST APIs and working with JSON Strong understanding of mobile application architecture and state management Practical experience with BLoC and Provider Experience optimizing API requests and handling application data efficiently Experience writing unit, widget, and integration tests in Flutter Familiarity with Flutter Driver, Appium, or similar mobile QA tools Experience with CI/CD solutions for Flutter, such as Codemagic and GitHub Actions Experience with Firebase services, including Auth, Firestore, Cloud Functions, and Crashlytics Good understanding of build automation and version control Experience working in Scrum and Kanban teams Practical AI-related skills Nice to have Android development experience with Java or Kotlin iOS development experience with Swift or Objective-C What will help you succeed Strong communication and collaboration skills Ability to take ownership and drive work to completion Leadership mindset Creative approach to problem-solving Openness, reliability, and willingness to support colleagues

Location: Serbia; Romania; Croatia; Spain; Colombia; Brazil Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About Our Clients We are representing four fast-growing brands across the agency and direct-to-consumer (DTC) landscape. As these businesses continue to scale their marketing and paid media efforts, they are looking for creative talent who can bridge the gap between creative production, AI-powered content, and performance marketing. Whether you're a video editor who knows how to turn raw footage into high-converting ads, an AI creative producer who can generate compelling UGC-style videos, or a creative strategist who can take an idea from concept to execution, we'd love to hear from you. Responsibilities Depending on your expertise and the specific opportunity, your responsibilities may include: AI-Powered Video Production: Create engaging video ads using AI video generation tools, AI avatars, synthetic UGC, voiceovers, and other AI-assisted creative workflows. Performance Video Editing: Edit short-form video ads for paid social platforms, including Meta, TikTok, and other relevant channels, with a focus on hooks, pacing, storytelling, and conversion. Creative Ideation & Strategy: Develop creative concepts, angles, hooks, scripts, storyboards, and ad variations based on audience insights, product positioning, and campaign objectives. End-to-End Creative Execution: Take creative projects from initial research and ideation through scripting, production, editing, iteration, and final delivery. UGC-Style Ad Creation: Produce authentic-feeling, creator-style content using AI-generated talent, product demonstrations, testimonials, and other direct-response creative formats. Performance Optimization: Collaborate with paid media and growth teams to understand ad performance, identify creative opportunities, and develop new iterations based on data and testing insights. Creative Testing & Iteration: Produce multiple variations of hooks, messaging, visuals, and formats to support structured creative testing and campaign optimization. AI Workflow Development: Explore new AI tools, techniques, and workflows that improve creative quality, speed, and production efficiency. Requirements We're interested in candidates from one or more of these backgrounds: 1. Performance Video Editors Strong video editing skills and an understanding of direct-response advertising. Experience creating short-form video ads for paid social. A good eye for hooks, pacing, storytelling, retention, and conversion-focused editing. Familiarity with tools such as Adobe Premiere Pro, After Effects, CapCut, or similar. 2. AI Creative Producers Hands-on experience using AI tools to generate or enhance video content. Familiarity with AI video, image, voice, avatar, and creative production tools. Ability to create UGC-style ads, product videos, and other advertising assets with AI. A strong understanding of how to combine AI-generated assets with editing, storytelling, and brand direction. 3. Creative Strategists Ability to research audiences, competitors, products, and advertising trends. Experience developing creative briefs, ad concepts, hooks, scripts, and testing roadmaps. Understanding of direct-response marketing and performance creative principles. Ability to translate campaign objectives and performance insights into actionable creative ideas. 4. Hybrid Creative Talent Comfortable working across ideation, scripting, AI production, video editing, and creative optimization. Able to take ownership of a project from concept to final deliverable. Interested in experimenting with new AI tools and creative workflows. Comfortable collaborating with paid media, marketing, and creative teams. Tools & Skills That Could Be Relevant Experience with some of the following is a plus: AI video & generation: Runway, Kling, Veo, Sora, HeyGen, Synthesia, or similar tools. AI image & creative generation: Midjourney, Flux, ChatGPT, or similar tools. Video editing: Adobe Premiere Pro, After Effects, CapCut, or equivalent. Voice & audio: AI voice generation, voiceovers, sound design, and audio editing. Performance marketing: Meta Ads, TikTok Ads, direct-response creative, creative testing, and ad performance analysis. To respect everyone’s time, we will not move forward with applications that only include: general video editing portfolios, cinematic showreels, YouTube editing portfolios, documentary work, podcast editing, wedding videos, corporate videos, and motion graphics portfolios without paid advertising experience We're not looking for someone who has simply experimented with AI tools. We want people who can use them to create compelling, commercially effective creative assets. This role is specifically for creators who specialize in performance advertising for DTC brands. Important: This is a shared talent opportunity across our clients. Applying does not guarantee placement with a specific company, but your profile will be considered for the opportunities that best match your experience and capabilities. Benefits Competitive USD salary based on experience. Fully remote position — work from anywhere. Opportunity to work with cutting-edge AI creative technology. High ownership role with direct impact on company growth. Collaborate with a fast-moving international team.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; New Delhi, India Job Summary We are seeking a highly skilled IBM Watson AIOps / IBM Netcool Operations Insight (NOI) Consultant/Developer with hands-on experience in designing, customizing, and implementing enterprise event management and AIOps solutions. The ideal candidate will be responsible for developing customized solutions based on customer requirements, implementing automation, and creating Netcool Impact policies to support advanced event correlation and scenario-based event processing. The successful candidate should possess strong technical expertise in IBM Watson AIOps, Netcool Operations Insight, Netcool Impact, OMNIbus, event integration, and automation, along with excellent problem-solving and customer engagement skills. Key Responsibilities Design, develop, and implement IBM Watson AIOps and IBM Netcool Operations Insight (NOI) solutions. Analyze customer requirements and translate them into scalable technical solutions. Customize IBM Watson AIOps and NOI components to meet customer-specific operational requirements. Develop and maintain Netcool Impact policies for: Event enrichment Event correlation Event suppression Event automation Scenario-based event processing Business logic implementation Create policy-driven workflows to reduce alert noise and improve operational efficiency. Integrate IBM NOI with monitoring tools and third-party systems using REST APIs, JDBC, SNMP, Webhooks, Kafka, or other supported interfaces. Configure and customize IBM Netcool OMNIbus ObjectServer and probes. Develop automation workflows using IBM Watson AIOps Event Manager. Perform event mapping, event normalization, and event enrichment. Implement topology-aware event correlation where applicable. Develop dashboards, reports, and operational views. Troubleshoot and resolve issues related to IBM Watson AIOps and NOI components. Optimize system performance and improve event processing efficiency. Prepare technical documentation, solution designs, implementation guides, and operational runbooks. Provide technical support during implementation, testing, and production rollout. Work closely with customers, architects, and support teams throughout the project lifecycle. Requirements Required Technical Skills IBM Technologies IBM Watson AIOps IBM Netcool Operations Insight (NOI) IBM Netcool Impact IBM Netcool OMNIbus IBM Event Manager IBM Agile Service Manager (ASM) IBM Cloud Pak for AIOps (preferred) Development Skills Netcool Impact Policy Development JavaScript (Impact Policies) SQL REST APIs XML / JSON Shell Scripting (Linux) Python (preferred) Integration Skills SNMP Web Services REST API Integration JDBC Kafka Webhooks Message Queues Infrastructure Knowledge Linux Administration Red Hat OpenShift Docker / Kubernetes Networking Fundamentals TCP/IP SSL Certificates Required Experience 5+ years of experience with IBM Netcool products. 3+ years of experience with IBM Watson AIOps or IBM Cloud Pak for AIOps. Proven experience developing Netcool Impact policies. Experience implementing event correlation and event automation solutions. Experience integrating enterprise monitoring platforms into IBM NOI. Strong troubleshooting and debugging skills. Experience working in production support environments. Experience with customer-facing solution implementation projects. Preferred Qualifications IBM Watson AIOps Certification. IBM Netcool Certification. Experience with OpenShift and Kubernetes. Experience integrating ServiceNow, Maximo, or enterprise ITSM platforms. Knowledge of DevOps, CI/CD, and automation tools. Familiarity with AI-driven event analytics and anomaly detection. Soft Skills Excellent analytical and problem-solving skills. Strong verbal and written communication. Ability to work independently and as part of a team. Customer-focused approach with strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent industry experience will also be considered. Preferred Candidate Profile The ideal candidate should have deep expertise in IBM Watson AIOps and Netcool technologies, with a proven ability to develop customized solutions and Netcool Impact policies that automate event management, reduce operational noise, and address complex customer requirements. Experience in designing scenario-based event correlation and automation workflows within enterprise environments is highly desirable.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are seeking an experienced IBM Cognos Analytics Developer to design, develop, and maintain enterprise reports, dashboards, and analytics solutions using IBM Cognos Analytics. The ideal candidate will have strong expertise in developing complex reports and interactive dashboards based on customer requirements, working with data models and cubes, and integrating Cognos content with IBM Maximo Application Suite (MAS) and 3D Dashboard solutions. The successful candidate will be responsible for delivering high-quality business intelligence solutions that enable data-driven decision-making through advanced reporting, analytics, and visualization. Key Responsibilities Gather and analyze business requirements from customers and translate them into reporting and analytics solutions. Design, develop, and maintain complex operational, analytical, and executive reports using IBM Cognos Analytics. Develop interactive dashboards, KPI scorecards, and self-service analytics to meet customer requirements. Design and implement drill-down, drill-through, and parameterized reports. Develop and maintain multidimensional data models, Framework Manager models, and data modules. Design, build, and optimize OLAP cubes and data cubes for high-performance analytics and reporting. Develop advanced calculations, metrics, prompts, filters, and custom expressions. Integrate IBM Cognos Analytics with IBM Maximo Application Suite (MAS), enterprise databases, and third-party applications. Support the development and integration of Cognos reports and dashboards with IBM Maximo 3D Dashboard capabilities and visualization solutions. Optimize report performance and troubleshoot complex reporting issues. Ensure data accuracy, consistency, and governance across reporting solutions. Develop reusable reporting templates and dashboard components. Collaborate with business users, solution architects, and technical teams throughout the project lifecycle. Prepare technical documentation, user guides, and knowledge transfer materials. Provide production support, enhancements, and performance tuning for Cognos environments. Requirements Required Technical Skills IBM Technologies IBM Cognos Analytics IBM Cognos Report Studio / Reporting IBM Cognos Dashboard IBM Framework Manager IBM Cognos Data Modules IBM Cognos Event Studio (preferred) IBM Cognos Administration Reporting & Analytics Complex Report Development Executive Dashboards KPI Dashboards Drill-through Reports Scheduled Reports Bursting Reports Data Visualization Analytical Reporting Data & Database Skills SQL (Advanced) Data Modeling OLAP Cubes Data Cubes Star Schema and Snowflake Schema ETL concepts Performance Tuning Database Experience IBM Db2 Oracle Microsoft SQL Server PostgreSQL Other enterprise relational databases Integration Skills REST APIs JDBC/ODBC IBM Maximo Application Suite (MAS) TNCP Performance Dashbaord. 3D Dashboard Integration Enterprise data integration concepts Required Experience 5+ years of hands-on experience with IBM Cognos Analytics. Proven experience developing complex reports and dashboards for enterprise customers. Strong experience with Framework Manager and metadata modeling. Experience designing and maintaining OLAP/data cubes for analytical reporting. Experience integrating Cognos with enterprise applications, including IBM Maximo Application Suite. Strong SQL development and query optimization skills. Experience with performance tuning of reports and dashboards. Ability to translate business requirements into scalable reporting solutions. Preferred Qualifications IBM Cognos Analytics Certification. Experience with IBM Maximo Application Suite (MAS). Experience developing dashboards for IBM Maximo Monitor or IBM Maximo Visual Inspection. Knowledge of data warehousing and business intelligence best practices. Experience with OpenShift and cloud-based deployments. Familiarity with Python or scripting for automation is an advantage. Soft Skills Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to interact directly with customers and gather reporting requirements. Strong documentation and solution design capabilities. Ability to work independently and collaboratively in cross-functional teams. Customer-focused mindset with the ability to deliver high-quality analytics solutions within project timelines. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field. Equivalent professional experience will also be considered. Preferred Candidate Profile The ideal candidate should have extensive experience in IBM Cognos Analytics, with the ability to develop sophisticated reports, dashboards, and analytical solutions tailored to customer requirements. The candidate should be proficient in building and optimizing data models and cubes, integrating Cognos with IBM Maximo Application Suite and 3D Dashboard environments, and delivering scalable, high-performance business intelligence solutions that support operational and executive decision-making.

Location: Aberdeen, United Kingdom We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities A permanent opportunity has arisen within our Lifting Solutions department for a Crane Mechanic to work offshore on a 3/3 rotational basis. You will be tasked with carrying out first line maintenance up to and including 12 monthly Planned Maintenance Routines and ensuring Crane integrity is maintained to current legislative, corporate and manufacturers recommendations. Other main duties and responsibilities will include; Ensuring crane availability is attained to client specification Carrying out planned maintenance routines ensuring spares & resources are planned and organised in a timely manner Carry out maintenance repairs to offshore cranes Carry out maintenance and repairs in accordance with safe systems of work Identify tools and materials to complete job scope Attend client maintenance update meetings, providing updates on current open work orders It would be expected that a safe and comprehensive shift handover is conducted and recorded. You must also have a good understanding of the Management of Change process and be able to identify and initiate change management events on the job. The Requirements It is essential that you hold an NVQ Level 3 Mechanical Certificate or a recognised apprenticeship. Other client specific training will be required. You will hold valid UK offshore certificates. Previous Mechanical experience is also essential. It is preferred that you have previous experience working with cranes on or offshore. You will have the ability to work on your own initiative and have the ability to troubleshoot. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Reports to: Head of People Level: Director Location: Remote, but in a location that allows for at least ~3 hours of daily overlap with East Africa Time, and meaningful overlap with US Eastern hours. At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel: Approximately 3-4 trips per year, including at least one to a country of operation and one to a key in-person leadership moment. About this role We are currently planning for a significant increase in scale, and we are building the People function that can carry it. This is our first senior talent management role. Today we have pieces of talent management programs and processes in place, but not yet a function. You will build one: an intentional approach to how we onboard, develop, and retain our people. That covers performance management and its link to pay, manager and leadership development, learning, onboarding, talent planning and succession, employee listening and engagement, and culture and values. The first year is weighted toward four priorities: joining the redesign of our performance system early, alongside the Head of People, and owning it as it moves into execution, as we move to pay for performance, revamping onboarding ahead of our next wave of hiring, planning our values retreat for senior leaders, and getting a read on employee listening and engagement. As those take shape, the balance shifts toward the longer-term build: the vision and roadmap for the function, a foundational manager program, talent planning and succession, and the team around you. The reason for this weight: the performance system and onboarding are our most acute gaps today, but they should not be construed as a ceiling of the job. We are hiring a senior talent management leader who can shape the whole function over several years, not the owner of one or two programs. If your instinct on reading this is that the performance redesign is the whole job, this role probably isn’t the right fit, and the reverse is also true: if you want to set strategy but not build the first versions yourself, year one will frustrate you. What you’ll do Build the talent management function Within your first 90 days, assess what exists today across these areas, recommend the sequencing for the first year, and agree to it with the Head of People. Set the vision and multi-year roadmap for talent management across the areas it covers, and sequence the work against the People roadmap. Propose the team around it, and decide what we build in-house and what we buy or borrow. Connect talent management to workforce planning, compensation, and recruitment, in partnership with the Head of People, Finance, and function leaders. Build an approach to talent and succession planning, starting with critical roles: work with leaders to identify succession gaps, assess potential successors, and put development plans in place to prepare people for future opportunities. Own the performance system Join the performance system redesign early, alongside the Head of People, and own it as it moves into execution: a system that produces reliable, calibrated outputs to inform merit increases, connected to our new salary bands. Make the system worth using, not a check-the-box exercise: one that helps managers hold better performance and development conversations and gives employees clarity on expectations, feedback, and growth. Build calibration and the data around it so ratings and merit decisions stay consistent and fair across countries, currencies, and manager quality. Set a clear global standard for handling low performance that doesn’t default to a misconduct process, and equip managers to use it. Ensure the performance system helps managers identify and support sustained high performance, connecting it to recognition, development, and career growth opportunities. Iterate the system through multiple cycles, using calibration, outcome data, and feedback from managers and employees to improve it. Build how people join, learn, and are led Revamp onboarding ahead of our next wave of hiring: own the content and experience for new hires and their managers, working with People Ops on process and systems. Build a foundational manager program and the tools behind it: feedback, coaching, difficult conversations, and performance management. Extend into leadership development and broader learning as the function matures. Shape culture and listen to employees Plan the values retreat with an external facilitator and our executive sponsor, and own what carries into daily work afterward. Get a read on listening and engagement today, covering what we hear, where it goes, and what should change, and use it to build our employee listening strategy. What this role is not Not a recruiting role. Hiring sits with our Talent Acquisition team. You partner with them on the handoff into onboarding and on how we assess and develop talent once people are here. Not the owner of compensation design. Pay structures and bands are set through our compensation work. You own how performance is assessed and how ratings connect to pay decisions. Not an employee relations or casework role. Cases in country belong to managers and HR Managers, supported by the People team. You own the performance system and the manager capability that helps them handle concerns well. Not the owner of HR systems or process administration. Onboarding workflows and our HRIS sit with People Ops. You own the content and the experience. Who we’re looking for Required 7+ years in talent management, performance, or organizational design roles, including time leading a function or a major part of one. You have designed a performance system, not only administered one. You can show how ratings connected to pay and what you changed after the first cycle. You have kept a rating and pay system fair across contexts with different currencies, labor markets, and manager quality. You are a hands-on builder. You have built talent management programs and systems from scratch, or close to it, in a start-up or scale-up: performance, onboarding, manager development, or a whole function, where what you needed did not exist and you built it while the volume was already arriving. We are not looking for steady-state operating experience, or for leaders who have overseen this work without building it themselves. You think in systems. You can show how a change in one part of a talent system, such as ratings, calibration, pay, promotion, or onboarding, shows up in the others, and you reason from the underlying problem rather than copying another organization’s template. You design with change management in mind from the start. You plan for how managers and employees in different countries and cultures will adopt a new program or system as part of the design, not as a rollout step afterward, and can show how you knew it stuck rather than being worked around. You have deep experience in at least two of onboarding, manager development, and employee engagement or listening, and working experience in the third. You have built programs and content people actually used, and can show how you knew they worked. A track record of joining a major project already in motion, taking it over, and working through disagreement with a senior partner, and of influencing without formal authority in a matrixed organization. Judgment and prioritization. You decide what slips and say so plainly. Preferred Experience in a mission-driven or international organization, ideally alongside high-growth commercial or tech experience. Experience working across multiple countries, including sub-Saharan Africa. Experience working with external facilitators, consultants, or vendors, and knowing what to hand off and what to hold. Comfort using data (survey, performance, calibration) to make decisions, and knowing when the numbers mislead. Exposure to compensation design or close work with a total rewards team. Professional French or Portuguese. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. If you are in a location other than those listed below, our recruiters will share compensation information during your initial screen. United States Base Salary: $134,400 Annual Benefits Stipend: $21,393 Bonus Target: 15% United Kingdom Base Salary: £94,605 Annual Benefits Stipend: £2,760 Bonus Target: 15% Kenya Base Salary: $106,282 Annual Benefits Stipend: $8,453 Bonus Target: 15% Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are looking for a Senior Director of Corporate FP&A to join Grafana Labs and help build and scale our Corporate FP&A function as the company enters its next phase of growth. This is a pivotal leadership role responsible for building the financial infrastructure and operating cadence that power company-wide planning, forecasting, reporting, and decision-making. You will own key Corporate FP&A processes, including long-range planning, annual planning, consolidated P&L, Balance Sheet and Cash Flow forecasting, executive and Board reporting, while helping establish the rigor, systems, and insights required to support the company’s next phase of growth. You will serve as a key partner to Finance, business leaders, and the executive leadership team, translating operating performance into clear financial insights and helping drive fast, informed decisions. The ideal candidate is a seasoned, results-oriented finance leader with strong business judgment, high integrity, and a track record of building scalable processes in complex, high-growth environments. You should be equally comfortable operating strategically and going deep into the details, with the ability to identify what needs to be built and raise the overall standard of Corporate FP&A. This is an opportunity to build the foundation for Corporate FP&A at a high-growth global company. The role is fully remote and will report to the VP of Finance. What you'll be doing: Own the company-wide Corporate FP&A model and planning processes, including long-range planning, annual planning, monthly forecasting, and consolidated P&L, Balance Sheet, and Cash Flow forecasting. Lead executive and Board reporting, delivering clear, decision-ready materials and commentary on business performance, key drivers, risks, opportunities, and operating leverage. Build and continuously refine the company’s KPI and reporting architecture, including scorecards, dashboards, recurring business reviews, and analytical frameworks that leadership and investors can rely on. Partner closely with Accounting, Tax, and other Finance teams to support month-end close, flux reviews, and financial reporting. Establish and continuously improve Corporate FP&A operating rhythms, including close-to-insight timelines, clear ownership, metric definitions, and reporting processes designed to support the company’s next phase of growth. Lead the modernization of Finance processes, forecasting methodologies, and planning frameworks through systems, workflow automation, structured data, and AI to improve accuracy, scalability, and the quality of forward-looking insights as the business evolves. Build strong cross-functional relationships with business and functional leaders, serving as a trusted partner on financial performance, resource allocation, and strategic decision-making. Build, mentor, and develop a high-performing Corporate FP&A team, and support strategic initiatives such as M&A diligence and integration as needed. What Makes You a Great Fit: 10+ years of experience across FP&A, Strategic Finance, Corporate Finance, or related disciplines, including meaningful experience at a leading technology company and ideally complementary experience in investment banking or buy-side investing. Experience in SaaS, enterprise software, or the broader technology sector is strongly preferred. Corporate FP&A leadership experience, ideally in a public-company, newly public, or public-company-readiness environment, with exposure to quarterly close, executive reporting, Board reporting, and other rigorous financial operating cadences. Meaningful experience owning a consolidated P&L, company-wide forecast, and Balance Sheet and Cash Flow forecasting processes. Advanced financial modeling and analytical skills, with the ability to build models from scratch, pressure-test assumptions, identify root causes, and translate complex analysis into clear, actionable insights. Strong executive presence and communication skills, with experience preparing and presenting decision-ready materials to senior leadership and the Board, and influencing significant company decisions. Proven ability to serve as a trusted business partner across functions and geographies, with strong business judgment and a track record of building effective cross-functional relationships. Demonstrated success as a change agent, improving forecasting, planning, reporting, and operating processes as organizations scale. Strong systems and technical fluency, including experience with Pigment and AI tools, and a track record of automating financial processes and applying AI to Finance workflows. Ability to operate at multiple altitudes, from strategic thinking to detailed execution, while prioritizing competing demands and managing multiple projects in a fast-paced environment. A player-coach mindset with high attention to detail and the highest standards of integrity, credibility, and accountability. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $260,000 - $312,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .