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Location: Berlin Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role will be working at Lion Studios Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. Role Overview As a Game Designer, you will support our Turkish teams and work on our successful casual puzzle titles. You’ll work closely with external development teams, studio managers, and you'll have the exciting opportunity to ideate, craft, and analyze our existing and future puzzle games, contributing to their success. You’ll thrive here if you’re a versatile game design generalist with a strong interest in level design, comfortable building relationships across multiple teams, and able to balance creative judgement with data-informed decision-making. Responsibilities Design engaging & challenging core gameplay loops, player experiences, and monetization strategies. Partner with external studios in Turkey throughout the new game development pipeline, from early concepts to playable builds. Design new mechanics that enhance depth and progression while fitting seamlessly into the game’s design approach. Evaluate player data, identify trends, and optimize level funnels for retention and monetization. Collaborate cross-functionally with developers to align with overall product goals. Keep an eye on top-performing games to understand market trends and extract insights. Required Skills, Knowledge and Expertise At least 3+ years of experience as a game designer, or in a similar field. Professional experience in game design, with the ability to contribute across mechanics, systems, progression, and player experience. Confidence using data and player insights to identify design problems and recommend solutions. Strong creative and problem-solving skills, with the ability to collaborate and communicate effectively with cross-functional stakeholders to align design with the product vision. Advanced analytical skills, ability to spot patterns and trends Experience with balancing levels and funnel optimization Fluency in Turkish and the ability to communicate effectively with Turkish-speaking studio teams. Desired Skills Game design experience as a publisher in puzzle genres is a huge plus Experience with liveops, A/B testing, or data-informed iteration cycles. Familiarity with Figma or similar visual collaboration software for mock-ups Proficient using AI tools for generating early prototypes Track record of publishing/working on successful hypercasual, casual, or AAA titles Working at Tripledot 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Supplemental Health Insurance: Continentale: annual budget of 1200 eur - reimbursement for healthcare outside of public plans (glasses, massages, dental treatments etc.) Public Transportation reimbursement: 100% of public transportation to the office via BVG ticket is covered Daily Free Lunch: Order free food from Wolt when at the office Pension plan : Opt-in to employer contributed pension plan, operated with Degura

About Healz.ai Healz.ai is the only AI agent for people with cancer, growing 2-3x MoM and saving lives. Looking for a hands-on Head of User Acquisition. It's an opportunity to work with founders who went 0 to $20M ARR in 12 months three times (TechCrunch) and built 2 SOTA models, for healthcare and for self-driving cars. Investors include ex-Google DeepMind, the CEO of RTP Ventures, Citadel Securities. Oncologists from top-20 cancer hospitals worldwide. The role: Own marketing end-to-end and grow into CMO. Hands-on in the ad account from day one, owning CAC/LTV/payback while scaling Meta budgets $20k+ to $100k+ to $1M+ monthly at target ROAS. What you will do: — Own the metrics: CAC, LTV, payback, ROAS — Start by running the ad accounts yourself — Manage creators, build the creative pipeline, test hundreds of creatives — Hire the team as budgets grow What we are looking for: — You scaled b2c apps from 0 to $100k+ budgets, ideally past $1M — Meta is your main channel. Google Ads only is not a fit — B2C subscription products where the user pays on the website — Proven track record of owning the result, systems thinking — US-market experience; health/wellness a plus — Ambitious to grow with the company Format: Fully remote, independent contractor. Part-time to start, $2,000-3,750/month at ~20 hrs/week (equivalent to $5,500-7,500/month full-time), with the option to go full-time. How to apply: Apply through LinkedIn and answer the screening questions. Have your numbers ready: starting spend, peak monthly spend, channel, and the ROAS or payback target you were held to.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role at QRT: We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses. Your responsibilities will include: Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform Your present skillset: Bachelor's or Master's degree in computer science, engineering or a related field Previous experience in software engineering, exposure to financial data is a plus Strong computer science fundamentals and proficiency in Python/Rust Familiarity with Kubernetes, container orchestration, and cloud infrastructure Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders Ability to work autonomously within a global team QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: India Job Overview: We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems. Senior Level - L3 Required Azure Cloud Experience Key Responsibilities: • Azure Cloud Management: •  Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep. •  Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools. •  Monitor and optimize the performance, scalability, and cost of Azure services. • CI/CD Pipeline Development: •  Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure. •  Collaborate with development teams to integrate code repositories, build processes, and deployment automation. •  Ensure proper version control and release management practices are followed. • Linux Administration: •  Manage and maintain Linux servers, ensuring high availability, security, and performance. •  Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef. •  Troubleshoot and resolve system-related issues, including networking, security, and application performance. • Security and Compliance: •  Implement and enforce security best practices for both Azure cloud services and Linux servers. •  Conduct regular security assessments and audits, applying patches and updates as necessary. •  Ensure compliance with relevant regulations and industry standards. • Collaboration and Support: •  Work closely with development, QA, and operations teams to streamline processes and improve efficiency. •  Provide support for production systems, including on-call rotations as needed. •  Document processes, configurations, and best practices for both Azure and Linux environments. Required Skills and Qualifications: • Technical Expertise: •  Proven experience with Azure cloud services, including VM management, networking, storage, and security. •  Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS. •  Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar. •  Proficient in scripting languages such as Bash, PowerShell, or Python. •  Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. • Problem-Solving: •  Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues. •  Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments. • Soft Skills: •  Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. •  Strong documentation skills and attention to detail. •  Ability to work independently and manage multiple priorities in a fast-paced environment. Preferred Qualifications: •  Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer). •  Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps. •  Experience with network security and VPN configuration in cloud environments. •  Familiarity with database management in cloud environments (SQL, NoSQL).

Location: India Job Overview : As a React Frontend Software Engineer, you will be responsible for developing and implementing user interface components using React.js and workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain, ensuring a seamless user experience. Key Responsibilities: Development and Design: Develop new user-facing features using React.js. Build reusable components and front-end libraries for future use. Translate designs and wireframes into high-quality code. Performance Optimization: Optimize components for maximum performance across a vast array of web-capable devices and browsers. Collaboration: Collaborate with product team and back-end developers for defining and implementing innovative solutions for the product direction, visuals, and user experience. Testing and Debugging: Write and maintain test cases to ensure the robustness and reliability of the code. Debug and fix issues reported in the production environment. Maintenance and Upgrades: Keep up-to-date with the latest React.js trends and industry best practices. Requirements: Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience: At least 5-6 years of experience in React.js development. Experience with popular React.js workflows (such as Flux or Redux) is a must. Technical Skills: Proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Familiarity with newer specifications of ECMAScript. Experience with data structure libraries. Soft Skills: Strong problem-solving skills, a keen eye for detail, and a team-oriented mindset. Excellent communication skills for coordinating with other teams. Other: Familiarity with RESTful APIs, modern front-end build pipelines and tools, code versioning tools such as Git. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Location: Serbia Job Title: AI/ML Engineer Department: IT Services /IT Infrastructure Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Romania Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: India Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Location: Poland Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .

Location: Romania Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .

Location: Serbia Job Overview We are seeking an experienced Software QA & Testing Engineer to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load. As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth. Key Responsibilities 1. Test Planning & Strategy Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives. Develop and document comprehensive and efficient test plans, strategies, and exit criteria. Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle. 2. Manual Testing Perform detailed manual testing on new features, functional flows, and regression cases. Conduct comprehensive exploratory testing for edge-case scenarios to uncover potential issues early. Ensure test data coverage for all features, workflows, integrations, and edge cases. 3. Automation Testing Design, build, and maintain automation frameworks for both web and mobile applications using leading tools like Selenium , Cypress , Playwright , and/or similar. Write efficient and reusable automated test scripts to conduct functional and end-to-end testing . Work on integrating automated tests into CI/CD pipelines (e.g., using Jenkins , GitHub Actions , AWS CodePipeline ). 4. Cross-Browser & Device Testing Perform cross-browser testing on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like BrowserStack , Lambdatest , or CrossBrowserTesting . Validate software compatibility across various operating systems and devices (desktop and mobile). 5. Performance Testing Design and execute performance, scalability, and stress tests for high-traffic systems using tools like JMeter , LoadRunner , or Gatling . Monitor application response time, throughput, and behavior under heavy load scenarios. Analyze performance bottlenecks and provide optimization recommendations to development teams. 6. AI-Driven Testing Utilize AI-powered test case generation tools like Testim , Applitools , or Tricentis Tosca to design smarter and faster test cases. Work with AI-based tools for visual regression testing and intelligent defect identification. Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies. 7. Defect Reporting & Debugging Identify, document, and track bugs and defects found during testing using bug-tracking tools such as JIRA , Trello , and Azure DevOps . Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability. 8. Documentation & Reporting Create and maintain a repository of detailed test plans, test cases, and test execution reports. Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress. Requirements 1. Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 4–6 years of experience in a Software QA role, with a proven track record of delivering high-quality software products. 2. Technical Skills Strong understanding of software QA methodologies , manual and automation testing standards , and testing tools . Hands-on experience with manual  and automation testing of workflows and UI components. Proficiency with key automation testing frameworks (e.g., Selenium, TestNG, Playwright, Cypress, etc. ). Demonstrated expertise in cross-browser testing tools (e.g., BrowserStack, LambdaTest, Sauce Labs ). Advanced knowledge of performance and stress testing tools (e.g., JMeter, LoadRunner, Gatling, or k6 ). Experience with API testing tools such as Postman, Rest Assured , or Karate . Proficiency with test management tools (e.g., Jira, TestRail ) and version control systems like Git . Familiarity with CI/CD pipelines and DevOps tools (e.g., Jenkins, GitHub Actions, Azure Pipelines ). 3. AI Testing Tools Hands-on experience with AI-enhanced testing tools such as: Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl AI-powered visual testing and smart test case generation Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection. 4. Additional Skills Strong troubleshooting and debugging skills with an eye for detail. Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly. Demonstrated ability to work in Agile environments and with techniques such as regression testing , exploratory testing, and smoke/sanity testing. Knowledge of scripting languages such as Python, JavaScript, or Java is a plus. Preferred Qualifications Certifications : ISTQB Foundation Level or Advanced Level certification Certified Selenium Professional, Appium Certification, or equivalent Experience in Performance & Load Testing : Hands-on knowledge with tools like JMeter or LoadRunner. Familiarity with AI/ML Testing : Experience testing machine-learning models or data-driven AI applications. Cloud Testing : Familiarity with testing APIs and services hosted on AWS , Azure , or GCP .

Location: Hong Kong 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. Reports to: Head of Content Operations Location: Hong Kong Travel: International travel to the EU, Japan or the US Time Zones: Will collaborate across time zones with clearly defined overlap windows. We're looking for a Senior Program Manager, Retail Demo Content to drive the strategy, roadmap, and execution of what games and content appear in our retail demo experience. This is a highly cross-functional role that sits at the intersection of content strategy, production planning, and retail execution — turning leadership's retail vision into a clear, actionable content roadmap that ships on time, every time. You'll be the connective tissue between our game production pipeline, developer experience team, retail deployment team, and publishing/marketing — ensuring the retail demo always showcases the right games, at the right time, in a way that drives conversion and supports broader go-to-market strategy. What You’ll Do Own the retail demo content roadmap — Determine which games should be featured in retail demo units at any given time, based on our production release schedule, business priorities, and retailer needs. Also own the retail demo experience across multiple regions with local demands and customizations. Translate strategy into execution — Take high-level management direction on retail demo goals and convert it into a concrete, achievable execution plan with clear timelines and milestones. Drive on-time delivery — Manage the end-to-end planning process and working closely with Developer Experience Team to ensure new retail demo content is ready and deployed to retail demo units on schedule, with no surprises. Coordinate with Retail Deployment — Partner with our Retail Deployment team to align on logistics, timing, and technical requirements for rolling out new content to physical retail locations (Target, Costco, Walmart, etc.). Align with Publishing & Marketing — Collaborate with Publishing and Marketing teams to identify opportunities where retail demo content can support broader go-to-market (GTM) campaigns, new title launches, or seasonal promotions. Build repeatable process — Establish clear, scalable planning frameworks and documentation so that retail demo content planning becomes a predictable, well-oiled process rather than an ad hoc effort. Report and communicate — Keep the Head of Content Operations and relevant stakeholders informed on roadmap status, risks, and delivery timelines. Who You Are 5-8+ years of experience in program/product management, content operations, production coordination, or a related field — ideally within gaming, consumer tech, or retail/CE (consumer electronics) industries. Proven ability to build and manage roadmaps across multiple stakeholders and moving parts, with a track record of on-time delivery. Strong cross-functional collaborator — comfortable working with engineering/dev teams, retail/operations teams, and marketing/publishing teams simultaneously. Experience translating ambiguous, high-level direction from leadership into structured, actionable plans. Familiarity with game production pipelines and/or retail merchandising/demo programs is a strong plus. Excellent communication and stakeholder management skills — able to align diverse teams (technical, creative, retail, marketing) around a shared plan. Highly organized, detail-oriented, and comfortable owning a roadmap end-to-end. A passion for gaming, interactive entertainment, or family/consumer tech products is a big plus. Nice to Have Prior experience working with major retailers (Target, Costco, Walmart, Best Buy, etc.) on in-store demo, merchandising, or activation programs. Experience in game publishing, live-ops, or content scheduling. Familiarity with GTM (go-to-market) planning and how retail experiences tie into broader marketing campaigns. #LI-Remote 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: Waldorf, Maryland About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. About the Role: As an Account Executive , you will drive the performance and success of your territory by executing a strategic sales plan to generate and develop business opportunities across schools and organizations in your area. You will be responsible for establishing relationships and maintaining and growing existing business. Snap Mobile Account Executives make a tremendous impact and are trusted by athletic directors, coaches, educators, booster clubs, and their communities to support the programs of those we serve. This is a Full-Time position. A Day in the Life Grow business and achieve sales targets by developing, and executing a territory plan Earn credibility as an industry expert for athletic directors, coaches, group leaders, and administrators Understand customer objectives, and articulate relevant technology and industry trends Represent Snap! Mobile at events to influence sales opportunities Build and cultivate customer relationships at schools, districts, club sports Manage sales pipeline and provide accurate sales forecasts Maintain accurate customer records within the company’s systems, including HubSpot Role Progression Within 1 Month, You Will: Complete new hire onboarding including eLearning courses, certification, instructor-led training, role-play, and mentorship Begin outreach to cultivate customer relationships with coaches, group leaders, athletic directors, and financial/district administrators Effectively manage all steps in the sales process and track progress in CRM Learn best practices, processes, and business tools used including HubSpot Within 3 Months, You Will: Be executing a strategic territory growth plan, built in collaboration with your manager Feel confident in prospecting new business, conducting discovery calls, and presentations to customers both in-person and digitally Know how to prospect to create new revenue opportunities Within 6 Months, You Will: Complete sales activities at volume with a high degree of independence, both in-person and digitally Prospect and close sales toward quarterly and annual targets Work sales opportunities from beginning to end, resulting in new business Increase customer saturation and retention rates, add revenue through customer acquisition What Sets Us Apart? Work with an industry leader to innovate and develop products to serve our customers Work with a team that has a proven track record of growth and achievement Support your community, and it’s future leaders by providing a better opportunity You will be challenged and encouraged to broaden your skills Regular social & philanthropic events Access to personal development courses and tools internally About You You are organized, get things done, and routinely exceed goals You are comfortable in a quickly changing environment and adapt to reach high-performance You have a strong desire to learn in a fast-moving technology company Thrive on open transparency, communication, and collaboration 2+ years of sales experience Requirements: Clean driving record Compensation: Base Salary $40K + Commission, uncapped with average OTE of $70K - $175K in year one Snap! Mobile is proud to offer the following benefits: Medical, Dental, Vision 401K match from the company Paid Company Holidays Unlimited PTO Compensation: Base + Commission with an average OTE of $75 -95K in year one. Account Executive Compensation $75,000 — $95,000 USD CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: United Kingdom; Poland; Germany; Romania; Netherlands; Spain Location: Europe (100% Remote) Contract Type: Advisory / Project-Based About Us Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking an Agentforce AI Maestro to join our elite European advisory roster under Xenon7's flexible Maestro Model. This strategic, fractional role combines enterprise Salesforce architecture with advanced LLM engineering to lead high-level technical discovery, design agentic workflows, and oversee production deployments for enterprise clients across Europe. Rather than a standard full-time commitment, this role provides high-leverage advisory engagements and project-based execution, with the potential to evolve into a full-time principal position as engagements scale. This is a hands-on technical lead role, not a Salesforce admin position. A. Agentforce Architecture & System Design Solution Architecture: Translate complex enterprise business processes into end-to-end agentic workflows (Intent $\rightarrow$ Agent $\rightarrow$ Context $\rightarrow$ Reasoning $\rightarrow$ Actions $\rightarrow$ Systems $\rightarrow$ Outcome). Core Agent Engineering: Design, configure, and build enterprise agents using Agent Builder, Agentforce Studio, Agent Script / DX, subagent routing, and instructions. Deterministic Logic Integration: Build robust back-end support using Salesforce Flow, Apex, SOQL, APIs, Named Credentials, and OAuth. B. Agentic AI & LLM Engineering Orchestration & Tooling: Implement tool/function calling, structured outputs, multi-step agent workflows, and prompt/context engineering. Architectural Trade-offs: Evaluate and determine when to leverage LLM reasoning versus deterministic Apex/Flow logic to minimize latency and token costs while preventing hallucinations. C. Enterprise Data & System Integration Grounding & RAG: Ground agent reasoning in structured/unstructured enterprise data utilizing Salesforce Data Cloud / Data 360, semantic search, and Knowledge libraries. System Interoperability: Architect REST API callouts, event-driven integrations, and MuleSoft platform pipelines, incorporating Model Context Protocol (MCP) standards. D. Testing, Security & Strategic Advisory Testing & Quality Assurance: Drive automated testing and multi-turn conversation tracing using the Agentforce Testing Center. Security & Guardrails: Design least-privilege agent permissions, FLS/sharing rules, prompt injection protections, and human-in-the-loop escalation paths. Client & Team Leadership: Lead technical discovery with European enterprise stakeholders and guide cross-functional engineering teams. Requirements Experience: 5+ years of hands-on Salesforce engineering and architecture experience. Agentforce Track Record: At least 2 meaningful production or advanced pre-production Agentforce implementations. Location: Based in Europe with strong alignment with European enterprise hours. Core Tech Stack: Deep proficiency in Salesforce Agentforce (Studio/DX), Apex, Flow, Data Cloud, REST APIs, Git, and CI/CD pipelines. AI Competency: Clear understanding of LLM architectures, context window management, function calling, and evaluation frameworks. Preferred Certifications & Qualifications Salesforce Certified Agentforce Specialist or Salesforce Architect Certifications. Hands-on experience with MuleSoft, Python, TypeScript, LangGraph/LangChain, or MCP. Exposure to major AI platforms (OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock)

Location: Seoul, South Korea About Our Client Our client is a privately owned, profitable global software company specializing in IT performance management solutions. Its platform helps organizations monitor, manage, and optimize the performance of their applications, cloud environments, and IT infrastructure from a single platform. Headquartered in Singapore, the company has a global presence supported by international R&D teams and an established network of partners, including global system integrators, consultants, distributors, and resellers. The business has a strong track record of profitable growth and serves enterprise customers across major markets worldwide. About The Role Our client is looking for a Sales Director to lead enterprise sales growth in South Korea . This is an outside sales role with significant ownership of the Korean market. The successful candidate will be responsible for generating and developing new business opportunities, managing the full sales cycle, and building strong relationships with enterprise customers and channel partners. The role requires someone who is comfortable working independently, combining marketing-generated leads with proactive business development, networking, and self-generated opportunities . Key Responsibilities Drive new business development across the South Korean market, with a focus on enterprise customers. Identify, qualify, and develop opportunities for IT performance management solutions. Manage the full sales cycle , from prospecting and discovery through negotiation and deal closure. Build and maintain a strong pipeline of qualified opportunities to consistently meet or exceed sales targets. Generate opportunities through a combination of inbound leads, networking, cold outreach, existing relationships, and market research. Understand customer environments and business challenges and position relevant solutions accordingly. Deliver compelling product presentations and value propositions to prospective customers. Manage objections and navigate complex B2B sales cycles through to successful closure. Work closely with partners, consultants, distributors, and resellers to identify and develop new opportunities. Maintain accurate pipeline, opportunity, and customer information in Salesforce CRM . Conduct ongoing account and market research to identify target organizations and potential opportunities. Maintain accurate sales forecasting and provide visibility into pipeline development and competitive activity. Develop strong product knowledge and stay informed on customer needs, market trends, and competitive dynamics. Requirements 10+ years of experience in enterprise software sales , ideally selling IT infrastructure, monitoring, virtualization, or related technology solutions. Proven track record of consistently meeting or exceeding sales targets . Strong experience managing complex B2B enterprise sales cycles , from prospecting through closing. Experience across areas such as Application Performance Management (APM), IT monitoring, IT analytics, IT Service Management, enterprise applications, or infrastructure software . Experience selling into enterprise organizations and/or service providers. SAP-related sales experience is a plus. Strong prospecting and new business development capabilities, with a demonstrated hunter mentality . Excellent consultative selling, presentation, negotiation, and stakeholder management skills. Ability to understand complex customer environments and translate business challenges into relevant technology solutions. Highly independent and self-motivated, with the ability to operate effectively with limited supervision. Comfortable working in a fast-paced environment with a high degree of ownership and autonomy. Strong communication, organization, prioritization, and time management skills. Experience using Salesforce or similar CRM platforms . Comfortable conducting both virtual and face-to-face meetings with customers. Bachelor's degree or equivalent experience.

Location: Morocco; France; Belgium About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company We’re hiring French-speaking SDRs to support our fast-growing client base in the European market. As a remote Sales Development Representative, you’ll drive pipeline growth by reaching out to French-speaking prospects, qualifying leads, and booking meetings with decision-makers. This role is ideal for motivated professionals fluent in both French and English, looking to break into international B2B tech sales. Key Responsibilities Prospect and qualify leads in French-speaking markets via cold email, calls, and LinkedIn Manage outreach campaigns tailored to French-speaking audiences Book meetings with qualified leads for Account Executives Maintain accurate activity records in CRM tools (e.g., HubSpot, Salesforce) Collaborate with marketing and sales teams to refine messaging Consistently meet targets for outreach, meetings booked, and lead conversion Requirements Fluency in French and English (spoken and written) 1–3 years of experience in outbound sales, lead generation, or SDR roles Strong communication and interpersonal skills Experience with CRM systems and sales tools like Apollo or Outreach is a plus Ability to work EU or US business hours (depending on client) Self-motivated, results-driven, and able to work independently Prior experience in SaaS or tech sales preferred but not required Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a high-performance, experienced hands-on technical program manager(TPM) in the security domain to be part of an Engineering team. In this role, you will be responsible for leading and managing security-related initiatives across the organization. It involves collaborating with cross-functional teams to ensure the successful planning, execution, and delivery of security programs. The TPM will act as a bridge between technical teams and business stakeholders, ensuring alignment with organizational goals while mitigating security risks. The work is very diverse. Fivetran is a multi-cloud environment operating on AWS, GCP, and Azure. You will help select security tools, implement improvements within our environments, and assist in developing new processes to increase our security posture. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Bash, Python, JS, BigQuery, Looker, Sigma, Azure, AWS, GCP, Terraform, Docker, Kubernetes, Github, Buildkite, SonarQube, Grafana, Prisma, Synk, Signal Sciences, AI Tools What You’ll Do This is the primary person in engineering responsible for executing the security vulnerability management program for engineering, including infrastructure, code, and dependency vulnerabilities. Collaborate with Security and Engineering teams to ensure vulnerabilities are identified, prioritized, and patched. Provide technical oversight and accountability to ensure the effective delivery of security fixes. Enhance processes by evaluating tools, recommending improvements, and driving automation for faster resolution. Usage of AI in defining the roadmap for a proactive security approach based on risk assessment/rating Running the Dependency management and image hardening programs Using AI to contribute to the remediation of code and infrastructure vulnerabilities Establish and lead a code scanning program in collaboration with infrastructure, engineering, and security teams to ensure seamless integration and sustainable security practices. Dedicate up to 20% of the time to assessing business systems to identify vulnerabilities and compliance gaps proactively. Develop a scanning and detection plan and establish policies and standards for internal data access tools to improve overall system security. Advocate for tools and solutions that support shift-left strategies, driving early integration of security and testing in the development lifecycle. Skills We’re Looking For Over 5 years of experience in technical program management with a strong focus on security engineering, vulnerability management, cloud security, and application security. Proficient in applying program management methodologies, tools, and best practices to deliver complex security initiatives. Exceptional skills in prioritization, organization, and multitasking to manage multiple programs effectively. Proven ability to work collaboratively with cross-functional teams, including product teams, SRE/QE engineers, and developers, to embed a security-first mindset into workflows and practices. Deep understanding of key security domains, including application/infrastructure security, data privacy, threat modeling, vulnerability management, and secure software development lifecycle (SDLC). Strong grasp of security concepts and principles, including network security, encryption, authentication, and authorization. Hands-on experience with SAST/DAST tools, agent-based firewalls, IDS/IPS technologies, and automation tools for security orchestration. Experience with scripting languages for automating security processes. Proficient in researching and validating vulnerabilities while proposing effective remediation or mitigation strategies. Strong familiarity with OWASP principles and best practices for securing web applications, including the OWASP Top 10 vulnerabilities and Application Security Verification Standard (ASVS) Up-to-date knowledge of market trends, emerging technologies, and best practices in cloud security Strong analytical, problem-solving, and communication skills to address security challenges, coupled with the ability to influence and collaborate effectively with engineering teams in enhancing security measures and mitigating vulnerabilities in a dynamic, fast-paced environment. #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $158,284 — $197,855 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote Senior Software Engineer, Scientific Computing About the Company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role At KoBold we believe that a modern scientific computing stack will enable systematic mineral exploration and materially improve our rate of mineral discovery. This role is a key ingredient to this strategy. As a member of our scientific computing team, you will apply software engineering and machine learning to remote-sensing, drillhole, imaging, geophysics and other mineral exploration data in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. Responsibilities Architect, implement, and maintain foundational scientific computing libraries that will be used in KoBold’s mineral exploration analyses. Integrate third-party and domain-specific tooling — code you did not build and cannot modify — into a coherent, repeatable pipeline: getting a heterogeneous stack to exchange data and behave correctly. Build tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability. Debug across boundaries — third-party binaries, undocumented formats, other people's code, and deployed instrumentation — rather than escalating at the edge of your own module. Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code. Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration. Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery.  Travel is approximately twice per year depending on project needs. Qualifications Our ideal candidate will have: At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Work experience across many distinct technical problem types. Track record of building production quality data processing solutions or tooling that have delivered business value Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches. Proficiency in Python, ideally including array-based packages such as xarray and numpy. Experience with data that comes from the physical world: physical measurements, scientific instrument output, imagery, or geophysical data. Experience in visualizing scientific data for domain experts. Hands-on history with hardware, flight, space, lab instrumentation, or field-deployed systems. Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows. Capacity to dive deep on novel challenging problems in applying new technologies to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources. Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations). Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time The US base salary range for this full-time exempt position is $170,000 - $215,000 Location:  Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.