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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: Metro Manila; Kazakhstan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll own regulatory license application projects for Salmon, managing submissions to the BSP (Bangko Sentral ng Pilipinas), the SEC (Securities and Exchange Commission), and other regulators as the company expands its licensed products and geographies. This is a hands-on role for someone who goes deep into the detail, drafts the materials themselves, and keeps applications moving. What you'll do - Work within a small, dedicated licensing function, coordinating across legal, compliance, finance, product, and PMO teams to move license applications forward - Serve as the primary on-the-ground point of contact in Manila for licensing projects, working closely with a remote team lead - Navigate regulatory back-and-forth: drafting responses, tracking open items, and keeping stakeholders aligned across multiple concurrent applications - Keep applications on track by explaining the regulatory context and requirements behind each request, so stakeholders understand what is needed and why, and escalating with clear facts and impact when inputs are blocked What you'll own - End-to-end management of regulatory license applications, from initial pack preparation through regulator approval - Drafting application documentation yourself (application letters, governance materials, and corporate documents), bringing in the relevant stakeholders for input/support where needed and sign-off - Timelines, deadlines, and deliverables across multiple license projects simultaneously, pushing stakeholders to deliver on time and escalating risks early - Coordination with legal, compliance, finance, and business owners to gather inputs and ensure submissions are accurate and complete - Ongoing communication with regulators, tracking questions, comments, and required follow-ups through to closure - Supporting the transition of licensing projects from the PMO team into the dedicated licensing function What makes you a strong fit - 3-5 years of experience combining legal, regulatory, and project management work on complex, multi-stakeholder projects in financial services or fintech - Hands-on experience with license applications for financial activities (e.g. banking, e-money/payments, securities/trading, lending) or comparable fintech regulatory projects, at a bank, payment company, EMI, trading firm, or financial institution, or through law firm or Big Four advisory work in financial services - Strong drafting skills: you're comfortable reading regulations, interpreting requirements, and writing submission-ready documents - Detail-oriented, with the ability to spot gaps and inconsistencies before the regulator does - Confident and persistent with stakeholders at all levels: you explain the "why" behind each request with clear regulatory context and detail, follow up, push back, and escalate when needed, while keeping relationships constructive - Comfortable working with Confluence, JIRA, and Slack as core operating tools - Relocation to Manila is required

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: 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: 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: 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: Amsterdam, Netherlands We are looking for a Senior Game Designer who combines systems design and economy design expertise with LiveOps and product strategy. You will shape the core progression and monetization systems of our free‑to‑play titles while owning an events and content roadmap that boosts retention and revenue. You’ll blend creative design with data‑driven decision‑making, transforming KPIs and player insights into clear, high‑impact updates. You’ll be a key force in an agile, multidisciplinary and creatively charged development team. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries and headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team,CoolGames is the right place for you. About the role As a Senior Game Designer, you will be responsible for the entire systems and LiveOps lifecycle. This includes designing new casual free-to-play games for desktop, tablets, and mobile, from initial concept through all stages of the product lifecycle. You will design and balance core loops, progression, rewards and game economy, then extend them through LiveOps: in‑game events, content drops, experiments and monetization changes that address KPI opportunities, lift retention and grow both IAP and ad revenue. Armed with analytical tools, you will translate insights into actions, weigh impact versus effort, and continuously iterate to keep our games fresh and competitive. Working side‑by‑side with developers, artists, QA and marketing in an agile environment, you will articulate strategy and results to stakeholders at every level, ensuring smooth execution. At the same time you will coach and inspire other game designers, fostering a culture of creativity, data‑driven decision‑making and constant improvement across the team. Your responsibilities will include: Define and maintain the systems design for core loops, progression, rewards and economy (sources/sinks, pacing, difficulty), ensuring they align with player needs and business goals Build and evolve a LiveOps strategy and content roadmap (events, seasonal mechanics, IAP offers and ad-driven promos) that drives engagement and revenue Design and implement in-game experiments (A/B tests, event variations) and use the results to inform design decisions; iterate so each update measurably improves retention and monetization Specify clear, developer-ready design documents and balancing sheets; be the single source of truth for feature scope, rationale and success metrics Stay on top of casual F2P market trends and top-grossing competitors; pitch new content, meta features or mechanics (e.g., collections, passes, streaks, time-limited challenges) that fit our audience Collaborate within a multidisciplinary team (design, engineering, art, QA, marketing) to deliver features and LiveOps smoothly; participate in agile rituals to align with development cycles and product goals Present product vision, LiveOps plans and post-event analyses; communicate the “why” behind your strategy with data and research to secure buy-in from internal stakeholders and external partners Mentor other game designers and raise team craft through feedback and reviews Requirements About You 5+ years of professional experience as a Senior Game Designer within the mobile or web F2P industry, with hands-on systems/economy and LiveOps experience Deep familiarity with top-grossing casual games and F2P mechanics; you know what keeps players returning and spending, and can anticipate shifts in player behavior or monetization patterns Ability to translate complex data and KPIs into actionable design changes and clear roadmaps, balancing player enjoyment with business objectives Strong written and verbal communication in English; concise specs and clear presentation skills Proven experience in cross-functional teams; you integrate creative, technical and commercial perspectives into a cohesive product direction Experience in mentorship or leadership, fostering designer growth, and promoting a positive, solution-oriented approach. Bonus: game economy design specialization; puzzle/casual background; HTML5/web distribution experience Benefits What we can offer you: An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest (upcoming) game platforms in the world on high-quality casual games that are played by millions of gamers; Competitive remuneration; A flexible remote working environment; Company events in HQ Amsterdam Office; A very open, informal and international company culture where everyone can make a difference.

Location: Amsterdam, Netherlands We are looking for an experienced Economy & Balancing Game Designer who can design, model, and tune the economies, progression, and reward systems of casual HTML5 games played by millions of people worldwide. As part of one of our multidisciplinary game development teams, you will design, model, balance, test, and iterate game economies from early concept through live operations. You understand that a great casual game economy is not just “generous” or “tight”: it paces progression, makes every reward feel earned, gives every purchase a clear purpose, and stays healthy for years. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team, CoolGames is the right place for you. About the role As an Economy & Balancing Game Designer at CoolGames, you take ownership of the economies inside our casual games: the sources, sinks, progression, and reward systems that decide how players earn, spend, and advance. You will design systems that are fun, fair, understandable, and commercially effective. And you own the outcome: not just the analysis behind the numbers, but the retention and revenue they produce. You will be part of a multidisciplinary agile team. Together, you will work on new titles, improve existing live games, and help shape the models, tools, and processes that make good economy design scalable across our portfolio. Because our games run on a range of platforms with different monetization models, you know how to make an economy work whether it is driven by in-app purchases, ads, or a subscription platform. On new games you are involved from the very first design sessions, so that the economy, its sinks, and its progression are designed in from the start rather than balanced after the game has been built. On live games you take the economy apart per title, in enough depth to say what a change will do before it ships, and you model and simulate that change rather than shipping it and reading the result afterwards. You are comfortable working both creatively and analytically. You can feel when a progression curve or a reward loop is right, but you also know how to validate that instinct through models, simulations, A/B tests, and player data. About You You are proactive and thrive on taking ownership and responsibility. You care deeply about how players feel when they play, and you know that a healthy economy and a great player experience are the same goal, not a trade-off. You know how to design systems that motivate without manipulating, monetize without frustrating, and reward without devaluing progress. If you are: An experienced Economy, Systems or Balancing Game Designer Ready to work on long-lasting casual titles, and to move between them when needed A strong believer in teamwork Are not afraid of innovation and learning new tools on the go Then you are on the right track to be a great match with Coolgames. Responsibilities Design and balance the economy, progression, and reward systems of our casual games, from the first design sessions of a new title through live operations Own the revenue outcome of the economies you design Build and maintain the economy models, balancing sheets, and simulations for each title, in enough depth to say what a change will do before it ships. Use player data and A/B tests to find friction points, progression bottlenecks, and monetization opportunities, and to show, with data, where balancing proposals from game and level designers will take retention and revenue. Design motivation loops and a cohesive ecosystem of LiveOps events that work together rather than compete for player attention Communicate design rationale, trade-offs, and recommendations clearly to the team and the studio, and take ownership of a title’s economy when moving between projects. Research how comparable games in our genres structure, pace, and price their economies, and keep that as the reference we balance and price against. Requirements Requirements 5+ years designing, balancing, and operating the economies of successful, released free-to-play games on mobile and/or HTML5, including casual or puzzle titles. Comfortable being accountable for a title’s KPIs: you make and defend decisions Advanced spreadsheet and modeling skills: balancing, simulation, and forecasting models, and fluent use of AI tools to build and analyze them faster. Strong analytical mindset: you design and evaluate data, translating it into concrete design changes. Deep understanding of player motivation, retention mechanics, LiveOps, and monetization design, and the empathy to feel what our casual audience will and won’t accept. Independent and proactive, quick to get up to speed on a new game and its audience, with excellent English and experience working in remote, multidisciplinary teams. A habit of benchmarking: you know the economies of the leading games in our genres well enough to say where ours sits against them. Benefits What we can offer you An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest upcoming game platforms in the world on high-quality casual games that are played by millions of players; Competitive remuneration; A flexible remote working environment; A very open, informal, and international company culture where everyone can make a difference. Apply Do you love building game economies that players find fair, motivating, and worth investing in, and that stay healthy for years? Then we would love to hear from you. Please include your CV and, where possible, a portfolio, economy models or balancing sheets, shipped games, design documents, or examples that show how you think about progression, monetization, and player experience.

Location: Bangalore, India You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role We are looking for a creative, detail-oriented Graphic & Video Production Specialist for a 3 to 6-month contract engagement. In this role, you will help elevate our brand visuals and digital storytelling across our website, social media, product explainers, and marketing campaigns. This role is ideal for a skilled intern or junior-to-mid creative professional eager to build high-impact multimedia assets for an established B2B SaaS brand. Roles and Responsibilities Video Production & Editing: Edit short-form and long-form video content, including SaaS product demos, customer testimonials, feature releases, and webinar recordings. Add motion graphics, kinetic typography, lower thirds, animations, and sound design to make technical B2B topics engaging and easy to understand. Repurpose existing video assets into bite-sized clips for LinkedIn, YouTube Utilize modern AI tools to generate, compose, and edit to produce the final output (mandatory) Graphic Design & Branding: Design visual assets for digital marketing: social media banners, blog headers, email newsletters, and digital ad sets. Create high-quality collateral such as sales one-pagers, whitepaper layouts, presentation pitch decks, and infographics. Maintain and uphold DBSync’s brand guidelines across all produced creative assets. Work closely with the marketing and product teams to translate technical specs and scripts into clear storyboards and visual concepts. Manage project timelines to deliver high-quality assets within agreed sprint cycles. Skills and Qualifications: Prior internship, freelance, or contract experience in graphic design and video editing (B2B, tech, or agency experience is a plus). Excellent knowledge of AI tools and video generation (Claude Code, ChatGPT Codex, etc). Using the AI skills, plugins, and connectors to create and scale video production. Software Proficiency: Video/Motion: Adobe Premiere Pro, After Effects, Veed.io , or similar video editing tools. Graphic Design: Adobe Illustrator, Photoshop, and/or Figma / Canva. AI tools: Claude Code, HeyGen, ElevenLabs, HyperFrames, or similar AI video generation/editing tools (Mandatory) Portfolio: A portfolio or reel showcasing video editing, motion design, and graphic design samples is required. Skills: Solid understanding of layout, typography, color theory, and composition. Basic audio editing and cleanup skills (noise reduction, leveling, background music integration). Ability to translate abstract or technical SaaS integration concepts into clean, accessible visuals. Work Style: Self-starter with good communication skills, receptive to creative feedback, and able to work independently in a remote environment.un a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation. Location: Bangalore (Remote) Shift Timings: U.K. Shift (1:30 PM IST - 10:30 PM IST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB

Location: Brazil We're hiring an E-commerce Operations Associate to support the Brand Managers across our portfolio. This is a heavily operations-focused role: you'll own the systems, reporting, inventory planning, and cross-channel coordination that keep our brands running smoothly day to day across DTC, subscription, and Amazon. You won't be siloed on one brand. You'll be pointed at whichever brand needs the most operational horsepower at the time, which means you'll see how three very different consumer businesses actually run, and you'll build the judgment to run one yourself. Think of it as the #2 seat on a small, fast-moving brand team . You'll keep operations tight, flag risks before they become problems, and free up the Brand Manager to focus on high-leverage decisions. You won't be siloed on one brand. You'll go wherever the portfolio needs operational horsepower most, so you'll learn in one year what usually takes three. What You'll Do Inventory & Operations Own inventory tracking, demand planning, and reorder cadence across DTC, subscription, and Amazon Coordinate with suppliers, co-packers, and 3PLs to keep stock flowing and SKUs healthy Build and maintain daily/weekly reports on sales, performance, and forecasts Spot risks early and keep the Brand Manager informed Subscription Operations Support recurring-revenue operations: cadence, swaps, and upcoming-order management Forecast subscription and one-time demand together so stock covers both Report on active subscribers, churn, and retention Amazon Run day-to-day Seller Central / Vendor Central operations: listings, inventory, and case management Monitor Buy Box, listing health, reviews, and account performance Support advertising operations, promotions, and FBA inbound planning Project Management & Marketing Support Own task management and coordination across multiple brands at once Help plan and execute product launches and campaigns Coordinate influencer partnerships, draft social/email content and creative briefs, and QA landing pages and ads Requirements 3+ years of hands-on experience in operations, supply chain, or logistics, ideally at a consumer brand, 3PL, or manufacturer Real inventory experience: reorder points, lead times, safety stock, sell-through, SKU-level health Demand planning skills: building forecasts, sizing POs, balancing stock across channels Experience managing vendors such as suppliers, co-packers, 3PLs, or freight forwarders Comfort with ops systems: inventory platforms (Cin7, NetSuite, or similar), 3PL portals, Amazon Seller Central, Shopify, subscription tools (Recharge, Skio, or similar), and heavy spreadsheet work Strong written and verbal English Highly organized, detail-oriented, and self-directed. You see what needs to happen and you do it Comfortable working remotely and asynchronously across more than one brand at a time Benefits A real seat at the table. You'll do meaningful work with visibility, not busywork. Three businesses, not one. You'll get broad, fast learning across very different categories. Early-stage opportunity. If you join now, you'll grow with the platform and get opportunities that won't exist later.

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.