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Location: Doha, Qatar We are looking to hire a highly skilled Implementation Testing Engineer to join our dynamic team at ProgressSoft Qatar, based in Doha. The ideal candidate will play a crucial role in ensuring the successful implementation and testing of our software solutions. The candidate should have a strong background in both implementation and testing methodologies to guarantee the delivery of high-quality products to our clients. Responsibilities: Participate in project planning and provide input on testing requirements, risks, and timelines. Create and maintain test documentation, including test plans, test cases, and test reports. Develop and maintain a strong understanding of the software product and its functionality. This includes full Awareness and understanding of the Software Product, Customization, and Integration according to the final signed and baselined scope with the Customer. Collaborate with project stakeholders, including developers, implementation team, project managers, and business analysts, to identify and document test cases. Develop and execute test plans and test cases to ensure software products meet the requirements and needs of end-users. Execute functional, integration and regression test cases; track and report defects; and work with development teams to ensure their timely resolution. Conduct end-to-end testing for Customer Software/Solution submitted to the Customer based on project signed scope and Customer profile. Conduct full setup certification and assurance of readiness before the Customer’s team engages in the solution testing and acceptance. This is not limited to the final approved and agreed-on test cases, as it shall cover all exceptional test cases that are identified with the project team and PO/BA and PM during the requirements detailing workshop with the Customer. Manage the entire testing phase with the Customer’s SIT and UAT team members, attend to queries and clarifications during the testing phase, report and track on Customer’s reported issues, bugs, or CRs and align it with PO (Bugs and Findings), SID team (Issues and Setup Failures) and PM (CRs). Ensure proper tracking and reporting on daily/weekly status during the testing phase, this includes SIT, UAT, NFT, and others. Reporting shall be aligned with the PM and PO for reflecting it in the weekly reporting by the PM to the Customer which includes: Monitor, assist, and support Customers during test case execution, defects and reported items tracking and internal reporting and follow up with the Development team. Conduct necessary testing and verification on all resolved bugs prior and approve to submission in the Customer release. Conduct post-release update deployment and run a sanity check to ensure the setup is ready for the Customer team to resume testing with no new or reopened bugs or issues. Create and maintain, in coordination with the Implementation team, the Non-functional testing that covers the performance, security, and penetration as well as technical testing (DR Drill, BCT, …etc). Ensure that all testing activities are performed in accordance with established testing standards, methodologies, and procedures. Maintain and improve corporate quality controls and testing plans in alignment with the PMO and Group Operations team. Perform any other duties related to the position as assigned by the concerned management. Requirements: 3-5 years of experience in software testing, preferably on banking or payment applications. Strong experience in functional, integration and regression testing of web and back-end systems, covering Requirement Gathering and analysis, Functional Studies, Estimations, Test Design, Test Planning, Quality Reviews, Manual Testing, Automation Testing, API Testing, Defect Management, and Reporting. Experience in Security Testing tools is a plus. Knowledge of STLC and Test Process Phases. Knowledge and Concepts in the Faults and Test Cases and Scenarios Priority. Good understanding of the end-to-end payment lifecycle. Knowledge of payment and clearing systems such as cheque clearing, ACH, instant payments, RTGS and GCC cross-border payments, and of ISO 20022 payment messages. Knowledge of SWIFT MT/MX and CBPR+ is a plus. Experience implementing payments-related projects with banks, financial institutions, and/or payment service providers. Experience in Qatar or other GCC markets is preferred. Excellent verbal, written, and interpersonal skills in English and Arabic. Attention to details. Excellent team player. Excellent organizational and time management skills. Sharp analytical, problem-solving, and research skills. Background in software development is preferred.

Location: Jeddah, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh Al Khabra, Saudi Arabia Eram Talent, a division of ERAM Group, is seeking a skilled Buyer to join our team in the Oil & Energy industry. As an independent Talent Acquisition Consultancy, Eram Talent is dedicated to providing outstanding recruitment solutions that satisfy the needs of our clients. With a global reach and network, we specialize in attracting high-potential professionals with sophisticated skills from various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care. As a Buyer, you will play a pivotal role in the procurement process, ensuring that the company's purchasing activities run smoothly and efficiently. You will be responsible for sourcing and evaluating potential suppliers, negotiating contracts, and managing relationships with vendors. Your expertise in market trends and knowledge of industry regulations will contribute to optimizing our procurement strategies and achieving cost savings for the organization. This is an excellent opportunity for a detail-oriented individual with a strong analytical mindset and exceptional negotiation skills to make a significant impact within the Oil & Energy industry. Collaborate with internal stakeholders to determine procurement needs and develop sourcing strategies. Identify and evaluate potential suppliers, ensuring they meet the company's quality, cost, and delivery requirements. Conduct negotiations to secure favourable terms and conditions, including pricing, lead times, and payment terms. Manage supplier relationships, resolving any issues, and ensuring continuous improvement in supplier performance. Monitor market trends and industry developments to identify opportunities for cost savings and supplier diversification. Maintain accurate records of all procurement activities, contracts, and supplier information. Coordinate with other departments to ensure timely delivery of materials and services. Requirements Bachelor's degree in Business Administration, Supply Chain Management or a related field. Proven experience as a Buyer or in a similar procurement role within the Oil & Energy industry. Strong negotiation skills with a track record of securing favourable terms and conditions. Excellent understanding of procurement processes, including vendor selection, contract management, and supplier relationship management. Proficient in using procurement software and tools. Strong analytical and problem-solving skills. Exceptional communication and interpersonal skills.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: United States; Canada; New Zealand; Australia; United Kingdom 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: Singapore; Malaysia; Philippines; Indonesia; Vietnam; Thailand 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are looking for Life Sciences Researchers with strong, hands-on Python programming skills to contribute to projects focused on evaluating and improving advanced AI systems. In this role, you will combine scientific research expertise with practical software skills to create, solve, and review challenging problems across biology and related disciplines. You will develop reproducible Python-based analyses, process scientific datasets, validate computational results, and identify errors in scientific reasoning, methodology, or code. We particularly welcome Master’s degree holders with strong research and computational experience, as well as PhD holders who have gained practical experience in software engineering, data science, computational research, or other industry data-focused roles. We value candidates who can independently write, understand, debug, and validate code—not simply researchers who have academic knowledge without practical programming ability. LOCATION: US, CA, AUS, NZ, UK (native english speakers); South east, APAC COMMITMENT: Approximately 15 hours per week SCHEDULE: Flexible—you choose your working hours and days, including weekends if preferred. COMPENSATION: Output-based, with payment per task that meets project specifications. Minimum submission requirements apply; the time required per task may vary. Key Responsibilities Create and solve technically rigorous scientific problems within your area of specialization. Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. Analyze and interpret biological or biomedical datasets using appropriate computational methods. Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. Apply relevant statistical and computational techniques to validate research findings. Document methodologies, assumptions, and solutions in a clear and structured manner. Requirements Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. Ability to independently write, understand, debug, and validate Python code. Experience working with scientific or biological datasets and interpreting computational results. Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. Excellent written English and the ability to communicate complex scientific concepts clearly.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11745 Executive & Business Administrative Support Virtual Assistant Independent Contractor – CPT-11745 Executive & Business Administrative Support Virtual Assistant/Business Support VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A business owner running two companies in talent acquisition, workforce development, employee screening, and compliance services needs an organized Business Support VA to handle front- and back-office administration. The VA will support daily operations across both businesses, including phone coverage, client communication, calendar management, invoicing and payment follow-up, recruiting administration, research, approved prospect outreach, data organization, and light social media scheduling (secondary). The VA will handle scheduling, pricing, and general service questions for the screening company using approved information. The VA will not access or discuss drug test results, background check results, I-9 documents, or any medical or donor information, and will route those inquiries to the owner. A signed NDA is required before any system access. The ideal candidate will bring strong administrative experience, excellent organization, professional phone and written communication skills, and the ability to manage multiple priorities across two related businesses The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Executive & Office Administration Manage calendars, appointments, scheduling requests, and routine reminders Monitor and organize business email inboxes For the first two weeks, draft email replies for the owner’s approval rather than sending on her behalf Maintain organized administrative records, task lists, and follow-up items Assist the owner with recurring office and executive support tasks Identify urgent matters and communicate priorities promptly Phone Coverage & Client Communication Answer the screening company’s phone line through RingCentral Schedule testing and screening appointments Provide approved pricing and service information Route results or case-specific questions to the owner Respond to routine client inquiries using approved information and procedures Follow up with prospective and existing clients on outstanding items Maintain accurate client and prospect records, organized separately for each business Billing & Recruiting Administration Prepare, send, and track invoices and payment follow-ups Post job openings and track applicants Send interview invites and confirmations (the VA does not conduct interviews) Update information in the company’s ATS and future CRM platforms Assist with basic administrative records as directed, excluding the restricted records above Research & Business Development Support Research and build a list of drug and alcohol testing collection sites in Georgia Run daily searches on SAM.gov and the Louisiana and Georgia state procurement portals Send a weekly summary of matching opportunities Send approved prospect outreach and follow-up emails from a tracker Systems & Marketing Administration (Secondary) Organize contact records, business documents, and administrative data Schedule social media posts using existing Canva templates and Claude-supported content frameworks Maintain recurring marketing posting schedules without assuming responsibility for overall marketing strategy Assist with process documentation and new administrative workflows as systems change Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Administrative, executive support, or business operations experience required Excellent spoken English and professional phone communication required Excellent written English and professional communication required Calendar, inbox, and client follow-up experience required Outlook / Microsoft Office proficiency required Signed NDA required before system access CRM, ATS, or comparable record management experience preferred RingCentral or business phone system experience preferred Invoicing or accounts receivable follow-up experience preferred Job posting or applicant tracking experience preferred Canva and basic social media scheduling experience preferred Government procurement or bid research experience a plus (Training Provided) Talent acquisition, HR, or compliance services experience a plus IDEAL CANDIDATE PROFILE Highly organized, proactive, and dependable Confident and professional on the phone with clients and callers Discreet with confidential information and clear on what must be routed to the owner Comfortable supporting a business owner managing multiple companies Strong attention to detail and accurate recordkeeping Able to manage multiple priorities without overlooking follow-ups Willing to learn new software and administrative procedures Resourceful and interested in growing with the business APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Microsoft Outlook / Office RingCentral – Client Phone System Zoho ATS – Existing System; Replacement Planned CRM Systems – Final Platforms TBD Invoicing Platform – Client System TBD SAM.gov and State Procurement Portals (Training Provided) Canva Claude – Client-Provided Content Frameworks Gusto – Familiarity a Plus Work Schedule Contracted Hours per Week: 30 hours/week (Potential to Increase to 40 Hours Based on Performance) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 10:00 AM–4:00 PM CT Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior Level Contracted Hours per Week: 30 hours/week (Potential to Increase to 40 Hours Based on Performance) Daily Working Time: 10:00 AM–4:00 PM CT Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A–B (Native or Near-Native English Accent Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Corporate Security at Ramp owns the identity and access layer for the company: Okta, Google Workspace, the SaaS applications behind them, and the governance that decides who holds what. We are hiring a Senior Security Engineer, Identity, to turn that layer into IAM as a service — a platform the rest of Ramp can use without filing a ticket.   The role is hands-on. You will design how identity works at Ramp and write the code that implements it: identity configuration in Terraform, entitlements created and governed through an agentic workflow, and an on-call agent that answers access questions before anyone has to ask a person. As more access flows between applications and AI agents rather than people, you will own how those identities are issued, scoped, and audited.   You will report to the Corporate Security lead and work closely with IT, Security Engineering, AI DevX, and the Data team. WHAT YOU'LL DO - Own Terraform for identity services: Okta applications, authorization servers, authentication policies, groups and group rules, and SCIM provisioning - Design and operate custom authorization servers, including audiences, scopes, claims, and access policies for internal services and AI agents - Implement app-to-app and agent access through Cross App Access (XAA) and ID-JAG, so delegated access is brokered and governed by the IdP rather than granted user by user - Own our IGA platform: the entitlement catalog, ownership, access requests, time-bound grants, and certifications - Build the agentic workflow that takes a team from "I have a new group of people who need access to X" to a defined, owned, and governed entitlement, with the Terraform and IGA changes opened for review - Build identity graphs with ISPM tooling to target overprivileged and long-standing access across human and non-human identities - Build the identity data lake behind an on-call agent that can explain events like a User Not Assigned Application error in Okta before the employee opens a ticket WHAT YOU NEED - 6+ years in identity engineering or IAM, including operational ownership of Okta or an equivalent identity provider at scale - Deep understanding of OAuth 2.0, OIDC, SAML, and SCIM, including how custom authorization servers issue and enforce aud, scope, and claims - Working knowledge of how XAA and ID-JAG work under the hood, including token exchange and JWT bearer grants - Experience with ISPM or identity graph tooling, and turning its findings into automated remediation - Experience owning an IGA platform or building the equivalent in-house - Terraform experience managing identity providers, including module design, state, and CI - Programming in Python or Go, with experience building against platform APIs BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is, at its core, a fintech company. Our financial infrastructure enables us to issue cards, move money globally, and manage treasury flows for our customers. Stablecoins are emerging as a critical lever to make these flows faster, cheaper, and more accessible. We are looking for a Software Engineer to join our engineering team with a dedicated focus on stablecoin-based payment and treasury systems. In this role, you will act as both a technical owner and multiplier: working on core stablecoin services, ensuring secure and reliable integrations with external partners, and guiding Ramp’s evolution toward next-generation fintech solutions. Our ideal candidate combines deep curiosity about eventually consistent distributed systems with strong financial infrastructure experience, thrives in highly regulated and mission-critical environments, and has a passion for diving into new problem spaces. WHAT YOU'LL DO - Help build & scale Ramp’s stablecoin-based payment and treasury infrastructure - Partner with external providers and internal stakeholders to deliver end-to-end product flows - Solve Ramp’s toughest fintech challenges with new technologies - Collaborate with engineers across Ramp to integrate stablecoin capabilities into core products WHAT YOU NEED - Minimum 5+ years of experience shipping high-quality architectures for critical systems preferred - Proven experience with stablecoin technologies, blockchain-based payment rails, and/or wallet infrastructure - Strong production experience with cloud environments (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform or equivalent) - Deep proficiency in at least one object-oriented or functional programming language (Python, Go, Java, or similar) - Experience working on security-sensitive systems, with interest in key management, wallet security, or secure transaction flows. - Experience building or operating payments, money movement, treasury, stablecoin, or crypto infrastructure in production environments NICE TO HAVE - Intuition for on-chain UX and settlement mechanics, including wallet-based transaction signing, confirmation/finality, and chain-level tradeoffs like fees and latency. - Direct experience building on-chain wallets or with integrating a crypto onramp / offramp APIs for custody and remittance flows - Experience integrating with external financial service providers and APIs at scale - Familiarity with cross-border settlement, FX, or treasury management systems - Background in highly regulated fintech environments (e.g., payments, banking, or government-compliant infrastructure) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Payroll Operations Specialist Remote (Prefer Mountain and Pacific time zones) Role Summary Sony Interactive Entertainment (SIE) is seeking an experienced, organized, and collaborative Sr. Payroll Operations Specialist to support US and Canadian payroll operations within a global organization. This role is responsible for coordinating, prioritizing, and executing payroll activities to ensure accurate, timely, and compliant payroll delivery. The ideal candidate understands end-to-end payroll processes, anticipates operational dependencies, and collaborates effectively with regional and global stakeholders. The position requires hands-on payroll experience, strong operational judgment, and the ability to leverage technology, AI, and performance metrics to drive efficiency and continuous improvement. What You’ll Be Doing: Payroll Operations Coordinate and execute payroll activities across multiple pay groups and processing cycles, ensuring accuracy, compliance, and timely completion. Manage payroll schedules, checklists, audits, reconciliations, and competing priorities.Sr. Support complex payroll activities, including leaves of absence, international assignees, terminations, and special payments. Proactively identify and resolve payroll discrepancies, operational risks, and processing delays. Process Coordination and Collaboration Provide day-to-day operational guidance and indirect leadership to Payroll Analysts by coordinating work assignments, aligning priorities, monitoring progress, and supporting timely, accurate payroll execution without direct people-management responsibility. Understand upstream and downstream payroll dependencies across HR, Benefits, Leaves, Finance, and other functions. Collaborate with regional and global stakeholders to resolve issues and improve payroll processes. Partner with technical teams on system-related issues, business requirements, and user acceptance testing. Employee Support and Continuous Improvement Manage employee payroll inquiries through case management systems, ensuring timely and accurate resolution. Monitor payroll KPIs, including accuracy, timeliness, exceptions, and case resolution. Leverage AI, automation, and analytical tools to improve efficiency, accuracy, and operational workflows. Identify recurring issues, support root cause analysis, and implement process improvements. Compliance and Controls Apply US and Canadian payroll regulations and established company policies. Execute payroll controls, audits, and reconciliations while supporting SOX compliance and audit requirements. Maintain accurate payroll documentation, procedures, and records. What We’re Looking For: 7+ years of progressive payroll experience supporting US and Canadian payroll operations. Hands-on experience with Dayforce Payroll and Workday HCM ; Dayforce Workforce Management experience preferred. Strong understanding of end-to-end payroll processes, compliance requirements, and operational dependencies. Experience supporting international assignees or cross-border payroll activities. Demonstrated ability to organize complex workflows, manage competing priorities, and meet critical deadlines. Experience working collaboratively within a regional payroll team in a global organization. Strong analytical, Excel, problem-solving, and communication skills. Experience with payroll audits, case management, process improvement, and performance metrics. Familiarity with AI and automation tools to improve payroll efficiency and accuracy. Bachelor's degree or equivalent professional experience; CPP, PCP, or PLP certification preferred. Measures of Success Accurate, timely, and compliant payroll delivery. Effective prioritization and proactive resolution of operational issues. Strong collaboration across regional and global teams. Continuous improvement in payroll accuracy, efficiency, and employee service. Consistent adherence to payroll controls and compliance requirements. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $135,900 — $203,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Our Sales team needs a dedicated data partner, and creator commerce https://kit.com/features/commerce (how creators monetize by selling digital products) is becoming a bigger part of how Kit and our creators scale. Kit is growing, so we're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end. Accurate sales data gives our team a clear picture of the pipeline and the confidence to make informed decisions. That’s what makes this role so important. Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, so we understand what creators sell and earn through Kit, and you'll pick up reporting work with our Product team, such as feature usage reporting. On a small data team, we step outside our usual lanes when the need is there, so the mix will shift over time. You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. That means your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them without a data teammate in the loop. This is a full-time individual contributor role for someone who likes being close to the business, enjoys turning messy operational data into numbers people trust, and is happy to work on both the models and the dashboards that sit on top of them. When Sales and Product have clear, reliable data, we help more creators build more valuable businesses with Kit.   YOUR SUPPORT SYSTEM You'll report to Sam Umachi, Head of Data (Linkedin https://www.linkedin.com/in/samuelumachi/). Sales and RevOps are your primary partners, who will rely on the models and reporting you own. You'll also partner with our Product team on reporting for features like Visual Automations https://kit.com/features/automations and on how creators use Kit. Within our data team, you'll work alongside a Staff Analytics Engineer who owns org-wide semantic layer governance and modeling standards, a Senior Data Engineer who owns ingestion and pipelines, and a Senior Business Analytics Partner focused on revenue opportunities. This role has no direct reports.   WHAT YOU'LL DO - First Week: Work through our onboarding curriculum in Notion and meet the data team, our Senior Revenue Operations Manager, the sales team, and your product partners. Get set up in our core tools: dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch and Slack. Set up your AI-assisted development environment and learn the shared AI workflows our data team uses. Open and merge your first small pull request so you learn our review and deployment flow early. - First Month: Map how HubSpot objects (deals, pipelines and stages, companies, contacts, and owners) flow into our dbt models, and document the gaps. Take over day-to-day ownership of the sales models and Omni dashboards that teammates have been covering. Audit current sales reporting and list where definitions differ or numbers don't reconcile. Get familiar with how commerce data (products creators sell and the revenue they earn through Kit) lands in the warehouse today. Agree with RevOps and Sales on the most important questions they need answered. Review teammates' pull requests and contribute to our shared SQL, dbt, and documentation standards. Share a written reflection with the team on what you've learned and where you'd focus first. - First Six Months: Ship and maintain well-tested, documented dbt models for core sales metrics, such as pipeline, deal velocity, stage conversion, win rates, and the sales-led funnel. Expose those metrics through the Omni semantic layer, working within the team's governance standards. Rebuild or refresh the core sales dashboards so pipeline reviews and forecasting conversations run on numbers that don't need manual reconciliation. Resolve competing sales metric definitions by writing down the options and tradeoffs, aligning with Sales and RevOps, and documenting the outcome. Model creator-level commerce data, such as products sold, revenue earned through Kit, and conversion, in partnership with data engineering. Write semantic layer descriptions, metric definitions, and documentation that let Omni's AI and MCP-connected AI tools answer routine sales questions correctly, and test them against real questions from Sales, RevOps and Product. Get Sales to the point where routine questions are answered through self-serve, whether in Omni dashboards, Omni's AI, or AI tools connected over MCP, rather than one-off requests. - First Year: Be the recognized owner of Kit's sales data, the person Sales and RevOps go to first and trust without second-guessing. Give our revenue analysis work the sales and commerce models it depends on, so deeper questions about pipeline health and creator earnings can be answered quickly, thereby enabling us to make creators more successful. Leave your domains well documented and well tested, legible to new teammates, stakeholders, and the AI agents that query our semantic layer. Help raise the team's modeling quality through code review, pairing, and sharing what you learn.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep dbt experience. You build modular, tested, documented dbt projects, and you're comfortable with incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar. - Advanced SQL. You reason carefully about grain, joins, and window functions, and you write queries that are readable and performant on a cloud warehouse. - Data modeling for sales and GTM. You can model deals, pipeline stages and their history, ownership changes, and funnel conversion into clean, reusable structures. You are opinionated on Kimball standards and when a concept should be a fact or dimension. - CRM data fluency. You know how sales data behaves in a CRM, including stage changes, backdated edits, and custom properties. HubSpot is preferred, but other CRM experience (e.g. Salesforce) applies just as well. We care most that you recognize common CRM patterns. - AI-assisted development. You use AI code editors and agents (such as Cursor, Claude Code, Codex, or similar) every day, and you validate their output with tests, query results, and review before anything ships. - Clear written communication. You explain metric definitions, tradeoffs, and data caveats in plain language that Sales, RevOps, and Product partners understand. - BI and semantic layer experience. You can build dashboards and semantic models in Omni, Looker, or a similar BI tool, and you design metric definitions that people and AI tools can both query correctly. - Git-based workflows. You keep pull requests small and well described, and you give thoughtful code review. - Nice to have: Redshift performance tuning (sort and distribution keys), Python for scripting or API pulls, reverse ETL, and experience with product event, billing, payments, or ecommerce data. Experiences - Around 7 or more years in analytics engineering or data engineering where you personally shipped production data models. - Several years of hands-on work building and maintaining production dbt projects. - Working directly with sales teams and RevOps, and owning reporting they relied on to run the business. - Owning a data domain over time and evolving its models as the business and its questions changed. - Working at a SaaS company, ideally one with both a self-serve and a sales-led motion. Commerce, payments, or creator economy experience is a plus, not a requirement. - Working on a small or remote team where you were trusted to make decisions independently. Traits - Ownership and follow-through. You treat your data domains as yours. You notice problems before stakeholders do, close the loop on requests, and finish what you start. - Judgment. You match rigor to the decision at hand, know when a quick answer is enough and when a request should become a durable model, and say so clearly. - Flexibility. You're glad to step outside your primary area when another team needs help, and you balance that work against your core commitments openly. - Teach everything you know. You document as you go, pair generously, and help stakeholders understand the data well enough to use it on their own. - Work in public. You share progress, open questions, and decisions in writing where the team can see them, including what didn't work. - Creator success is our success. You remember who's on the other end. A wrong number in a pipeline review means Sales spends time on the wrong creators, and that shapes how carefully you work. - Do it with excellence. You test your work, review it carefully, and don't ship a number you can't defend. - Candor with care. You're comfortable pushing back when a request won't answer the real question, and you do it in a way that builds trust.   WHAT WON'T SET YOU UP FOR SUCCESS - Needing detailed specs or a highly structured environment before you can start. - Discomfort with ambiguity. Some of our sales and commerce definitions are still evolving, and you'll help settle them. - Needing several layers of approval to make modeling decisions within your domain. - Wanting to work only on dashboards, or only on pipelines, rather than across the transformation and BI layers. - Wanting a strictly fixed scope. Sales comes first, but you'll pick up Product or other work when the business needs it. - Wanting mostly greenfield work. Much of this role is improving sales models and dashboards that already exist. - Preferring to take tickets as written rather than partnering with stakeholders on what they need. - Being skeptical of AI's capabilities, or using AI without good judgment and accountability. - Expecting a large data team with dedicated specialists for every part of the stack.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Toronto; Europe; Canada; London; United States; New York; United Kingdom; Atlanta Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams. As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery. We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities. In this role, you will: - Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf. - Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices. - Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows - Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development. - Collaborate with Product to ensure requirements are adapted into the core product. - Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers. - Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally. You may be a good fit if your experience covers the following areas: - Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas. - Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control. - Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design. - Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives. - Experience building enablement or education content specifically for developers. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We are looking for a Legal & Privacy Operations Associate to help the Ramp legal team scale with product and operational leverage as the business grows. You will keep legal requests moving, administer core tools and records, and automate corporate, policy, and privacy program work with Legal and cross-functional partners to accelerate Ramp’s AI products and growth. WHAT YOU'LL DO - Support legal technology and AI workflow improvements, including implementation, training, documentation, and follow-up with vendors and internal partners. - Build and maintain privacy program inventories and evidence with Product, Security, IT, and Marketing, including application and third-party vendor records, AI-system use cases, data flows, and records of processing, and follow-up on identified gaps. - Support data subject request response and automation. - Administer legal systems, including Ironclad, the legal helpdesk, and other internally built systems and knowledge management resources. - Execute corporate governance and equity initiatives by managing requirements, and administer policy and control refreshes. WHAT YOU NEED - 1–3 years of experience in legal operations, privacy operations, as a legal assistant or paralegal, or in a comparable role. - Demonstrated experience of streamlining legal processes and coordinating contract or data privacy systems. - High level of experience managing various operational challenges with ease. - Track record as a strong partner for key business leaders, with great communication, organization, and time management skills. - Expertise building AI agents and workflows. NICE-TO-HAVES - Coding experience (Javascript, Python, SQL). - Experience administering Ironclad, Ethyca, SimpleLegal, or other legal and privacy technologies. - Knowledge of privacy and data protection laws (e.g. CCPA or GDPR). - Prior experience in high-growth startups and/or high-growth technology companies. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice