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Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We're looking for a Software Engineer II to join the Contact Channels engineering team within the Servicing AI Agents Engineering organization. Our team works at the front of the contact funnel to build solutions to answer our customers’ needs where they want help. Our space is constantly evolving as our customers move to new solutions like personal agents and LLM summaries of our public content. The team is taking on big unknowns, so we're looking for someone who wants to take ownership and execute for whatever is necessary. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience shipping web apps using declarative UI frameworks like React or Vue. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $133,000 - $183,000 CAD Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for an Atlassian Support Engineer to join our Atlassian team. The team supports and develops Jira Software, Jira Service Management, and Confluence Data Center, which are essential to the company’s internal service and business processes. Our work covers project and service portal configuration, access management, automation, integrations, and technical troubleshooting. We handle both daily service requests and planned initiatives, including process improvements, integrations with corporate systems, and platform changes. Purpose of the Role: You’ll support and improve SOFTSWISS’s Atlassian platforms to ensure they meet the needs of internal teams and business processes. Your work will focus on maintaining effective Jira and Confluence configurations, improving service management workflows, and supporting automation and integrations with corporate systems. Key Responsibilities: Configure Jira to support team processes: projects, workflows, transitions, conditions, validators, post-functions, fields, screens, schemes, roles, and notifications. Develop Jira Service Management: service portals, request types, forms, queues, SLAs, approvals, routing, and automated creation of related issues. Manage access in Jira and Confluence: groups, project roles, permission schemes, issue security, and space and page permissions. Investigate visibility issues affecting tickets, comments, and data. Build and maintain automation: Automation for Jira rules and existing ScriptRunner/Groovy solutions, including Behaviours, workflow logic, and scheduled jobs. Support integrations and data exchange: REST APIs, webhooks, JSON, Slack and email notifications, and synchronisation of fields and data between Jira and connected systems. Investigate issues in Jira, Confluence, and their apps: reproduce problems, review configurations, logs, and automation results, identify causes, and involve senior engineers or owners of connected systems when needed. Own requests through to a confirmed outcome: clarify requirements and dependencies, agree on changes, verify key scenarios and exceptions, document solutions, and coordinate validation with stakeholders. Core Platforms and Automation Jira Software, Jira Service Management, Confluence Data Center Jira Automation / Automation for Jira ScriptRunner, Groovy, Behaviours, workflow conditions, validators, post-functions, and scheduled jobs Assets / Insight JQL, REST APIs, webhooks, JSON Apps Supported by the Team eazyBI, Tempo, BigPicture, Email This Issue, Smart Checklist. Connected Systems and Integrations HiBob, Slack, HubSpot, 1C, GitLab Authentication and identity management systems, including Keycloak/SSO Selected notification and alert-routing processes using Opsgenie This is the team’s working environment. You don’t need deep expertise in every listed app to join us. Required Experience: Hard Skills At least 2 years of practical Jira administration experience, including Data Center and Jira Service Management. English at B1+ level for documentation and ticket communication, and native-level Russian for workplace communication. Understanding of Jira Cloud and Confluence Cloud, with hands-on experience working with both platforms. A solid understanding of workflows, schemes, screens, field configurations, project roles, and permission models. Ability to account for configurations shared across multiple projects. Practical experience configuring JSM request types, forms, portals, queues, SLAs, and customer access. Experience administering Confluence spaces, pages, groups, restrictions, and troubleshooting access issues. Ability to create and troubleshoot Automation for Jira rules and use JQL and smart values. Practical ScriptRunner experience: reading and modifying existing Groovy scripts, understanding when they run, verifying results, and diagnosing errors. Understanding of REST APIs, HTTP, JSON, and webhooks. Ability to investigate authentication, service account permissions, integration payloads, and responses. Basic practical experience with Assets: objects, attributes, relationships, permissions, and using Assets data in Jira processes. Soft Skills Ability to translate user requests into clear requirements and acceptance criteria, identifying inconsistencies between descriptions, documentation, and comments. Ownership of commitments: track dependencies and deadlines independently, and communicate blockers or changes to plans before stakeholders ask for an update. Clear communication with technical and business teams: explain limitations, propose options, and document agreed solutions. Careful handling of access permissions, personal data, and public and internal comments. Nice to Have: Advanced Groovy and ScriptRunner experience, including developing custom scripts, troubleshooting execution errors, and working with complex existing logic. Experience creating and maintaining eazyBI reports, configuring data imports, and managing report access. Experience working with Tempo, BigPicture, Email This Issue, or Smart Checklist. Experience with HiBob–Jira–Tempo, Jira–Slack, Jira–GitLab, or similar integrations. Participation in project or space migrations and consolidation, including validating permissions, data, macros, apps, and scenarios after migration. Experience migrating Jira or Confluence from Server/Data Center to Cloud. Experience supporting SSO integrations in collaboration with an IAM team. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Almaty, Kazakhstan Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Middle Compass Payment Developer to join our team and provide exceptional customer support. Responsibilities Develop and enhance payment processes on Compass Payment Implement changes to existing payment flows Develop and maintain integrations between Compass Payment and external systems Ensure accurate transfer of payment data between systems Implement payment status handling and transitions between transaction states Develop error and exception handling, including repeated requests and non-standard processing scenarios Investigate and resolve issues affecting payment processes and integrations Participate in production incident investigations, analyzing logs and technical data to identify root causes Support testing and deployment of payment functionality Collaborate with QA engineers, analysts, architects, and other developers Participate in code reviews and technical discussions Improve the stability and reliability of payment processes Requirements Hands-on commercial experience with Compass Payment Experience developing and enhancing payment processes on the platform Experience integrating Compass Payment with external systems Understanding of payment solution architecture and operating principles Knowledge of the full payment transaction lifecycle, including statuses and state transitions Understanding of error handling, exception handling, and repeated request processing Experience troubleshooting payment infrastructure and investigating production incidents Ability to analyze logs and identify root causes of errors Experience working with APIs and system integrations Experience participating in releases of payment functionality Understanding of reliability and data accuracy requirements for financial transactions English level: A2+ Availability to work on-site at the client’s office in Almaty Nice to have Experience in banking, payments, or fintech projects

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: 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; 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 looking for accomplished Competitive Data Scientists, Machine Learning Engineers, and Applied Mathematics Specialists with a proven track record in data science competitions, particularly on Kaggle and similar platforms. This opportunity is designed for candidates who have achieved at least Kaggle Expert ranking, including Masters and Grandmasters, and can demonstrate strong practical skills in machine learning, statistical modeling, quantitative reasoning, and programming. You will use your competition experience to design challenging, reproducible technical tasks that require genuine problem-solving rather than plausible-looking answers. Your work will involve building execution environments, implementing verified reference solutions, developing reliable evaluation criteria, and testing how AI Coding Agents perform against complex data science challenges. A verifiable Kaggle profile with Expert, Master, or Grandmaster ranking is a key qualification. Strong practical coding and debugging abilities are essential. Previous AI training experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. PROJECT: AI training focused on competitive data science, machine learning, and reproducible technical problem-solving. AI EXPERIENCE: Not required. Key Responsibilities Design challenging data science and machine learning tasks inspired by real-world problems and competitive data science scenarios. Build reproducible execution environments, prepare datasets, configure dependencies, and implement verified reference solutions. Develop automated tests and evaluation criteria that distinguish correct solutions from incomplete, incorrect, or unreliable approaches. Use coding agents to execute assigned tasks, investigate their failures, and evaluate their problem-solving capabilities. Identify implementation errors, flawed assumptions, data leakage, statistical inconsistencies, and other issues affecting solution correctness. Apply competitive data science techniques and mathematical reasoning to validate solutions. Ensure tasks have clear requirements, reliable expected outputs, and reproducible verification procedures. Refine task difficulty and evaluation methods based on observed coding-agent performance. Document task specifications, solution methodologies, technical reasoning, and verification steps. Review and improve task quality to ensure scientific and computational accuracy. Requirements Demonstrated experience in competitive data science, machine learning, quantitative modeling, or applied mathematics. Kaggle profile with at least Expert ranking (Master or Grandmaster ranking strongly valued). Ability to provide a verifiable Kaggle profile demonstrating competition achievements and ranking. Strong understanding of machine learning, statistical modeling, data analysis, and quantitative problem-solving. Practical programming ability, particularly in Python. Ability to independently implement, test, debug, and verify data science solutions. Experience working with datasets, computational environments, and relevant machine learning libraries. Strong analytical reasoning and the ability to explain technical decisions. Ability to identify data leakage, implementation flaws, and methodological errors. Excellent written communication and technical documentation skills. Professional 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 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: Mexico We are looking for a Product Manager to join the Origination Delivery team and take ownership of Ambassador Delivery , our in-house bank card delivery channel in Mexico. Our ambassadors do more than deliver cards — they help customers activate banking products, promote additional services, and acquire new customers through referrals. The team is responsible for developing the ambassador mobile app, internal operational tools, and processes that drive delivery efficiency, customer activation, and cross-sell performance. In this role, you will work at the intersection of product management, operations, and business performance , focusing on improving key product and operational metrics. You will collaborate closely with operational teams and regional managers to optimize ambassador productivity, delivery costs, and conversion, while developing the Ambassador Platform to support new task-based services across banking products. Challenges that await you: Owning the development and performance of Ambassador Delivery as both a product and an operational channel Analyzing product and operational metrics, identifying root causes of performance changes, and driving data-driven improvements Improving customer activation and cross-sell conversion through the ambassador channel Optimizing delivery completion rates, cost per meeting, and ambassador productivity Developing and improving ambassador incentive schemes, ensuring transparent performance tracking and accurate compensation Enhancing the ambassador mobile app and internal management tools to improve operational efficiency and user experience Building and improving operational dashboards to help regional teams monitor performance and make data-driven decisions Formulating hypotheses, running experiments, and evaluating their impact on product and operational metrics Working closely with Operations, regional managers, Engineering, and Analytics teams to implement improvements across product and operational processes Developing the Ambassador Platform toward a task-based model, enabling the existing infrastructure to support additional banking services and operational scenarios What makes you a great fit: 4+ years of experience as a Product Manager, preferably working with operational products or performance-driven business processes Strong analytical skills and hands-on experience working with product and operational metrics, including conversion, cost, productivity, and efficiency Proven ability to independently analyze performance data, identify root causes of metric changes, and translate insights into actionable improvements Experience defining and tracking KPIs, working with dashboards, and collaborating with analytics teams to ensure data quality and transparency Experience formulating product hypotheses, prioritizing initiatives based on business impact, and evaluating results through data and experiments Strong understanding of end-to-end operational processes and experience improving business performance through both product and process changes Experience designing and running A/B tests and product experiments Strong stakeholder management and communication skills, with experience collaborating closely with operational, technical, and cross-functional teams Hands-on approach and willingness to dive deep into operational details, work with regional teams, and continuously monitor business performance B2 or higher English level for effective communication with an international team Your bonus skills: Previous experience as a Product Analyst or Data Analyst Experience with delivery, logistics, field operations, or other operations-heavy products Hands-on experience with SQL, BI tools, or advanced product analytics Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Mexico with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: United States; Toronto Workplace: OnSite 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! ABOUT THE ROLE We're hiring a Senior Manager to lead GTM and Revenue Finance as part of the Strategic Finance team. This person will have direct exposure to the CFO, CRO and board materials. You will lead a team of analysts to forecasting, reporting and strategic initiatives for our GTM organization. You will have ownership of the revenue line and the chance to build the function, the team and the systems rather than inherit them. KEY RESPONSIBILITIES REVENUE FORECASTING AND DEAL ECONOMICS - Own the ARR and revenue plan by segment, region, product and deployment type - Build driver-based models connecting sales pipeline to ARR and GAAP revenue conversion - Triangulate top-down targets against bottoms-up deal pipeline and deal-level economics - Run scenario planning and sensitivities to support a dynamic market landscape - Own gross margin annual planning and explain the storyline on variances and performance - Provide guidance on deal structuring, terms, margin profile, etc - Define and track KPIs including LTV, CAC, payback period, gross margin - Establish a mature framework for deal review and acceptance working closely with Rev Ops, Biz Ops and GTM ROI ANALYSIS & STRATEGIC INITIATIVES - Analyze territory and segment economics including CAC efficiency and payback period - Partner with Marketing and Sales leadership to allocate spend toward the highest-return motions - Report GTM performance monthly finance and business reviews - Own the GTM financial narrative in board and executive packages - Run investor diligence, the data room and customer reference prep during fundraising - Build product finance capabilities as product mix expands, including product-line P&L, unit economics and gross margin by revenue stream QUALIFICATIONS - 12+ years of progressive experience in Financial Planning & Analysis and Strategic Finance - Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA or CFA preferred. - Strong proficiency in financial modeling, forecasting, and budgeting - Experience with EPM Systems (Anaplan, Pigment, Onestream) and BI tools (Tableau, Power BI, Looker) - Excellent analytical skills with ability to interpret complex financial data - Exceptional communication skills—the ability to tell a compelling story through data - Experience building and scaling FP&A functions in high-growth and ambiguous environments - Deep understanding of GAAP accounting and the interaction between the P&L, Balance Sheet, and Cash Flow statement. PREFERRED QUALIFICATIONS - Experience at fast-moving technology companies, particularly with GTM business partners - Startup experience, particularly in scaling financial operations - Familiarity with SaaS metrics and AI business models - Experience with fundraising, investor relations, and board reporting - Experience implementing financial systems and automation solutions 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: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments. Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). Ukrainian and/or Russian language proficiency is a must. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior United States Remote APPLY NOW REFER A FRIEND We are looking for a Senior Interoperability Engineer to build and scale healthcare integrations for a Digital Health platform connecting providers, payers, clinical systems, and external healthcare networks. This is a hands-on engineering role focused on Python, Kafka, high-scale APIs, healthcare interoperability, and secure data exchange. What project we have for you The platform connects healthcare data from multiple clinical and administrative systems and makes it available through secure, standards-based APIs. The Interoperability domain is responsible for building and operating integrations with external healthcare systems, processing high-volume data exchange, and providing reliable APIs consumed by internal products and partners. The engineering environment is based on Python, event-driven architecture, Kafka, REST/FHIR APIs, OAuth-based security, and cloud-native services. What you will do Design and develop scalable healthcare interoperability services and APIs . Build event-driven integrations using Python and Kafka . Implement and support FHIR-based healthcare data exchange. Develop secure APIs using OAuth 2.0/OIDC and JWT . Integrate external healthcare systems, data providers, and partner APIs. Implement data validation, transformation, mapping, and error-handling logic required for interoperability workflows. Troubleshoot complex integration, authentication, and distributed-system issues. Improve API performance, scalability, reliability, and observability. Build automated tests covering API behavior and integration scenarios. Participate in architecture discussions, code reviews, and engineering standards. What you need for this Requirements: 5+ years of professional backend or integration engineering experience. Strong hands-on experience with Python in production environments. Experience designing and operating high-scale REST APIs and backend services . Strong experience with Kafka or comparable event-streaming technologies. Solid understanding of distributed and event-driven architectures . Strong experience with API authentication and authorization, including OAuth 2.0, OIDC, and JWT . Experience integrating external systems and APIs in complex enterprise environments. Hands-on experience with FHIR or healthcare interoperability APIs . Strong understanding of API reliability, error handling, retries, idempotency, and observability. Experience with SQL and/or NoSQL databases. Experience with Docker, cloud-native environments, and CI/CD. Strong troubleshooting and production problem-solving skills. Nice to Have: Experience with FHIR R4, SMART on FHIR, US Core, or USCDI . Knowledge of HL7 v2 or CDA/C-CDA . Experience integrating EHR/EMR, payer, HIE/HIN, pharmacy, or laboratory systems. Experience with Patient Access APIs, Bulk FHIR, or CMS interoperability requirements . Experience with Kubernetes and AWS. Healthcare or Digital Health domain experience. Experience using AI-assisted engineering tools in day-to-day software development. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Kafka Python

Location: Sweden - Remote About the Company In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role In the role of Field Operations Lead, you will plan and execute our field activities in Sweden to meet our business objectives without causing harm to our people, our contractors and partners, or the communities and environments where we operate. You will report to our Field Operations Director North America & Europe and other members of the operations and exploration team. Your primary responsibility will be to serve as the leader of field operations for 1–3 projects per year across Sweden and potentially other Nordic or European jurisdictions. Responsibilities Plan Lead planning of complex exploration projects and moderate-scale development programs in Sweden, including drilling campaigns, electromagnetic surveys, and reconnaissance programs Lead 1–3 concurrent projects of varying size, complexity, and jurisdiction, with accountability for planning and execution Lead procurement strategies: contractor selection, bid evaluation, benchmarking, and contract administration for Sweden-based programs Develop detailed project-level risk and hazard identification, risk assessments, mitigation plans, and critical control implementation, with particular attention to Swedish winter construction conditions Lead project kick-offs with integrated teams and contractors, covering scope, execution strategy, and risk management Contribute collaboratively to data collection planning during Phase 4a of the Exploration Project Lifecycle Generate creative field operations scenarios outside conventional boundaries that lead to efficient programs Execute Lead end-to-end execution of assigned projects from mobilization through demobilization and closure Provide strong leadership during changing field conditions, including Arctic and sub-Arctic weather events Track and forecast production rates, spend profiles, and resource requirements Manage and direct all field activities: lead contractor performance evaluation, feedback, and improvement Maintain daily contact with and monitor the status of KoBold personnel and contractors while in the field; maintain close communication with the Project Geologist, Project Data Scientist, and the Senior Project Planner Close Lead site remediation and rehabilitation activities per Swedish regulatory standards Lead contractor performance reviews and lessons learned to drive continuous improvement Compliance and Stakeholder Engagement Lead execution within regulatory compliance, monitoring, and reporting in accordance with Swedish mining and environmental legislation (including the Mining Act 621/2011 and Environmental Protection Act), EU regulations, and the practices of our joint venture partners Ensure execution is done within Swedish permitting processes, land access agreements, community relations, third-party agreements, and any joint venture requirements With leadership direction and support, represent KoBold Metals with local Swedish stakeholders, including communities, landowners, municipal authorities, and environmental bodies Process Improvement and Mentoring Create ways of working that allow us to continue to work more effectively and to be nimble so that we can support machine-learning-driven dynamic field programs, where we adapt our plan based on the data we collect at each stage Mentor Field Operations Supervisors: ensure field operations follows KoBold’s systems, practices, and leading industry standards Qualifications Required At least 12 years of experience conducting field operations in mineral exploration and mining, oil and gas, or a related industry, with demonstrated progression in complexity and responsibility Advanced knowledge of construction methodology, including winter and frozen-ground construction (tracks, pads, ice roads) relevant to Nordic operating environments Advanced understanding of helicopter-supported exploration, including utilization optimization and emergency response considerations Strong understanding of procurement processes: RFP development, bid evaluation, and contract administration Strong understanding of rehabilitation and closure planning Demonstrated commitment to health and safety standards, including incident management, root cause analysis, and corrective action implementation and verification Strong conceptual knowledge of all HSE, Land and Permitting, Legal, and Business Development systems as applied to exploration projects Ability to manage and supervise KoBold staff and contractors on all aspects of field activities, including complex and higher-risk field programs Ability to design complex field programs including scope, cost estimates, risk assessments, procurement, and project execution plans Ability to prepare complete and accurate deliverables based on the Exploration Project Lifecycle and synthesize findings for integrated project teams and leadership Ability to work in remote and isolated locations for extended periods of time, including Swedish Norrbotten and other Nordic environments A high degree of independence and the ability to work effectively with limited supervision Must speak, read, and write in Swedish and English; additional language skills are of benefit Valid First Aid Certification (Level 3 or Wilderness First Aid preferred) Preferred Recognized internally or externally as a subject matter expert in field operations across at least two operation types (e.g., drilling, EM surveys, civil works) Material understanding of data science products (e.g., catchment analyses) and their appropriate uses in exploration Experience with Swedish and/or Nordic regulatory frameworks governing exploration operations Experience working on projects with dedicated exploration teams including both Geologists and Data Scientists, demonstrating sustained partnership and effective interdisciplinary collaboration Familiarity with project management principles and managing projects remotely across multiple jurisdictions Experience with logistics tied to complex remote operations in cold-weather environments, including helicopter, weather, camps, chartered flights, and drilling operations Finnish or other Nordic language skills are an asset What We Value Sustained partnership with exploration teams, including both Geologists and Data Scientists, on one or more exploration projects Effective communication with team members across Geology, Data Science, HSE, Aviation, Legal, Community Relations, and Land and Permitting Perpetuating KoBold’s ethical standards through your own actions and in communicating with others Leading constructive field operational dialogue with colleagues; offering ideas freely and being willing to be wrong Receiving constructive and critical feedback well and providing constructive input and guidance to others Recognizing and elevating the team’s contributions, both in the field and to leadership, reinforcing a culture where strong work is visible and valued Interest in contributing broadly to the success of the company and eagerness to pitch in where needed What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is a Full-time Contract role. Location: KoBold is a remote-first workplace. All candidates should be legally authorized to work in one of the following countries: Sweden or Finland. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Austin, TX About Us Infinitum is revolutionizing the future of motors with our patented Aircore technology — delivering superior performance in half the weight and size, while reducing the carbon footprint compared to traditional motors. Our solutions open up sustainable design possibilities for smaller, lighter, and quieter machines, improving quality of life while conserving energy and reducing waste. Headquartered in Austin, Texas, we are driven by innovation and a commitment to making a positive global impact. Learn more at goinfinitum.com Position: Master Scheduler Location: North Austin, Texas (Onsite) Reports To: Supply Chain Planning Manager Direct Reports: Materials Planner – Motors; Materials Planner – Fan Systems Travel: As required, including Ramos Arizpe, Mexico Position Summary The Master Scheduler is responsible for translating customer demand, forecasts, backlog, and long-range business requirements into an executable, capacity-constrained master supply plan across Infinitum’s Motor and Fan Systems operations. The role owns the Master Production Schedule and provides a forward-looking view of supply, capacity, inventory, and material constraints to support reliable customer commitments. The Master Scheduler is the primary Supply Chain point of contact for Sales Operations / Customer Service for product availability, customer requested dates, and supply commitments. The role leads two Materials Planners located in Ramos Arizpe—one supporting Motors and one supporting Fan Systems—and serves as the focal point for coordinating supply between Motor manufacturing and the Fan Systems contract manufacturing network. Key Responsibilities - Translate customer orders, forecasts, backlog, and long-range demand into an integrated Master Production Schedule for Motors and Fan Systems. - Review customer requirements against available inventory, manufacturing capacity, material availability, supplier constraints, and production lead times before establishing supply commit dates. - Serve as the primary Supply Chain interface with Sales Operations / Customer Service for product availability, customer requested dates, committed dates, pull-ins, expedites, and delivery-risk communication. - Provide realistic and executable customer delivery commitments using available-to-promise and capacity-to-promise principles; escalate requirements that cannot be supported and provide recovery or alternative scenarios. - Review long-range demand against manufacturing capacity, labor, equipment, supplier constraints, and Contract Manufacturer capabilities; identify capacity gaps early enough to support mitigation decisions. - Develop and maintain capacity outlooks by product family and planning horizon and support annual operating plans, forecast reviews, and long-range capacity planning. - Coordinate supply between the Materials Planner – Motors and Materials Planner – Fan Systems to ensure Motor production supports both direct Motor demand and Fan Systems requirements. - Establish priorities and allocation recommendations when available Motor supply cannot fully support all customer and Fan Systems requirements. - Ensure Fan Systems motor requirements are incorporated into the Ramos Arizpe Motor production plan with sufficient lead time to support Contract Manufacturer schedules and customer commitments. - Lead and develop the two Materials Planners; establish planning standards, priorities, operating cadences, escalation requirements, and accountability for schedule adherence and material availability. - Review planner-generated material plans, shortage reports, inventory risks, and production schedules for alignment with the Master Production Schedule and business priorities. - Lead cross-functional demand-versus-supply and production planning reviews with Sales Operations, Purchasing, Manufacturing, Contract Manufacturing, Logistics, Import/Export, Engineering, Quality, GTM, and Finance. - Identify supply, material, capacity, supplier, logistics, and Contract Manufacturer constraints and drive timely recovery plans, escalation, and executive visibility. - Coordinate with Purchasing on long-lead materials and supplier constraints; with Engineering on ECO/MCO transitions and NPI; and with Logistics/Fulfillment on product availability and shipment requirements. - Maintain and govern master scheduling parameters within ERP/MRP and planning systems, including planning horizons, lead times, production rates, capacities, lot sizes, and scheduling rules. - Support implementation and optimization of NetSuite, Kinaxis, dashboards, reporting automation, and exception-based planning processes. - Develop and maintain planning reports and KPIs covering customer commitments, OTIF, master schedule attainment, schedule adherence, capacity utilization, material availability, backlog, forecast alignment, and inventory health. - Conduct root-cause analysis of missed schedules and customer commitments and drive corrective actions that improve planning reliability and execution. Qualifications & Experience Required - 7+ years of progressive experience in master scheduling, production planning, supply planning, materials planning, production control, or manufacturing supply chain. - Demonstrated experience creating and managing a Master Production Schedule in a manufacturing environment. - Strong experience balancing customer demand with manufacturing capacity, material availability, inventory, and lead-time constraints and establishing reliable delivery commitments. - Strong knowledge of MRP, BOMs, capacity planning, production scheduling, inventory management, ATP/CTP concepts, and supply-demand balancing. - Experience coordinating multiple manufacturing operations, product lines, or external manufacturing partners. - Demonstrated people leadership or experience directing planning teams and cross-functional planning activities. - Strong ERP/MRP experience; NetSuite, Oracle, SAP, or similar systems. - Advanced Excel skills, including PivotTables, XLOOKUP/VLOOKUP, data analysis, management of large data sets, and familiar with AI tools. - Strong analytical, communication, and stakeholder-management skills with the ability to make and communicate supply decisions under competing priorities. Preferred - Experience with motors, Fan Systems, HVAC equipment, electromechanical products, electronics, or other complex manufactured products. - Experience coordinating vertically integrated manufacturing where one operation supplies components or subassemblies to another, including Contract Manufacturers and consigned-material models. - Experience supporting manufacturing operations in the United States and Mexico. - Experience with advanced planning systems such as Kinaxis and familiarity with Arena or another PLM system and ECO/MCO processes. - Experience with AI tools, Power BI, DAX, and planning/reporting automation. - APICS CPIM, CSCP, or similar supply chain certification; bilingual English/Spanish is a plus. Competencies That Win in This Role - Customer commitment discipline: makes commitments based on executable capacity, materials, and supply—not optimism. - End-to-end planning mindset: understands the dependency between customer demand, Motors, Fan Systems, suppliers, manufacturing capacity, and inventory. - Forward-looking risk management: identifies supply and capacity constraints before they affect customer commitments. - Decisiveness and prioritization: makes clear allocation and scheduling decisions when demand exceeds available supply. - Cross-functional influence: aligns Sales Operations, Manufacturing, Purchasing, and other stakeholders around one credible supply plan. - Leadership and analytical rigor: develops planners, establishes accountability, and converts complex data into clear business decisions. Key Performance Indicators - Customer On-Time Delivery / OTIF and customer requested date vs. committed date performance. - Master Production Schedule attainment and production schedule adherence. - Backlog and past-due customer orders. - Capacity utilization and timely visibility of constraints. - Material availability / build readiness. - Forecast-to-supply alignment and inventory health. - Timeliness and accuracy of supply-risk escalation and customer commitment updates. Why Join Infinitum - Be part of a sustainability-driven company transforming the motor industry. - High-visibility role directly tied to customer delivery performance and growth. - Opportunity to help scale Infinitum’s integrated supply planning and manufacturing operating model. - Direct exposure to advanced product design and manufacturing execution in a mission-driven company. - Comprehensive Health Coverage (Medical/Dental/Vision) - Short-Term & Long-Term Disability Coverage - Health Savings Account (HSA) - includes employer contributions. - Flexible Spending Account (FSA) & Limited Purpose Flexible Spending Account - 401(k) - Traditional and Roth - Open Paid Time Off (PTO) - 12 Paid Holidays - Community give-back opportunities. - Career growth with exposure to cutting-edge manufacturing supply chain technologies. Infinitum embraces diversity and is an equal opportunity employer. Agency representatives, we appreciate your interest, but we've got this!

Location: United Kingdom, London 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. About the team The Competitive Analysis & Insights function is part of the Platform & Business Analytics department in Sony Interactive Entertainment. SIE creates extraordinary experiences around play that inspire millions of people to interact with our products and services. Our team supports global product and business partners by developing actionable competitive insights providing essential context to inform strategic decision making. About the role The Senior Analyst is responsible for driving and completing competitive analysis projects. They need to be self-motivated and independent, capable of managing multiple projects from start to finish, working with varied sets of product & business partners. Their role is crucial in enhancing our analytical capabilities, output, and influence to inform the successful development, market launch, and operation of SIE products. Working alongside the existing team, their role will combine qualitative judgment with strengthening and elevating the team’s quantitative analysis capabilities. What you’ll be doing: Crafting and delivering impactful, actionable competitive market analyses and insights using all relevant sources and employing qualitative and quantitative methods Contributing to and developing our competitive analysis methodology as this function evolves within SIE, with a focus on quantitative analysis Assess market developments, competitor performance and platform strategies using relevant data paired with qualitative insight Managing analysis projects end-to-end, from initial briefing through to final delivery, follow-up, and impact assessment Developing repeatable analytical workflows and models that combine and validate internal & external data, critically assess evidence, and size markets and opportunities Managing and developing intelligence assets, including sourcing, processing, aggregating data, providing access, and distributing information Serving as the point of contact and representative for our team within the broader organisation Improving research efficiency through responsible adoption and implementation of AI tools What we are looking for You're a highly capable market analyst with strongly developed skills in competitive and market analysis and relevant experience in the gaming industry You’re passionate about the gaming sector and knowledgeable about the PC and Mobile categories, and the latest advancements in technology relevant to gaming You're a self-starter who can handle high-level project briefs with varying ambiguity and develop, manage and deliver multiple analysis projects in parallel You're an excellent communicator, crafting compelling narratives and effectively interacting with and influencing diverse stakeholders across all levels of the organisation You’re a strategic thinker with the ability to translate research into plausible scenarios and business implications You excel in quantitative and qualitative analysis and pragmatically adapt your approach to anticipate, interpret and meet client needs You have practical SQL proficiency at extracting and combining data, together with strong spreadsheet modelling skills You’re able to assess source and data quality, reconcile conflicting evidence and explain uncertainty clearly You take ownership of project success, leading with passion and investment, and are proactive and hands-on when required You value and contribute to a diverse team and foster a culture of transparency, curiosity, constructive problem-solving, relationship building and continuous improvement Requirements Experience as a senior analyst in the games industry with a strong understanding of the gaming business and its main actors Proven track record of success in delivering impactful competitive analyses & insight Proficiency in primary and secondary source research, data management and manipulation using relevant tools Excellent storytelling and presentation abilities Strong project management skills to dependably deliver end-to-end projects Desirable Experience within a product-related function Experience engaging with Senior Executives and diverse stakeholder sets Experience working with market insight and consultancy firms and familiarity with gaming market datasets and their coverage, methodologies and limitations Experience developing scenario frameworks, competitor response assessments or indicators for ongoing monitoring Proficiency in written and spoken Japanese would be highly advantageous, though not required 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: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Design and implement solutions for user incentives, experience improvements, and business automation in support of retention goals. Independently drive requirements analysis, technical design, development, testing, production rollout, ongoing operation, and post-launch evaluation for your modules. Develop and maintain user incentive and financial benefit modules. Strengthen rule execution, monetary calculations, disbursement, state transitions, idempotency, consistency, failure compensation, reconciliation, and auditing to ensure accuracy and traceability. Contribute to the engineering and productionization of AI applications and AI-powered user experiences, continuously improving output quality, responsiveness, system stability, and operating costs. Bring AI into real-world use cases by designing, developing, and iterating on AI Agents and agentic workflows. Integrate models, tools, and internal systems to support knowledge retrieval, troubleshooting, operational assistance, and business automation. Establish evaluation, execution observability, and safety controls for AI workflows. Improve context and state management, failure recovery, budget controls, and human intervention mechanisms. Enforce data access permissions, sensitive information protection, and boundaries on fund-related operations. Ensure that critical monetary calculations and writes are governed by deterministic rules and authorized execution paths. Help build team-wide AI-assisted engineering workflows. Develop reusable Skills, tools, context conventions, and validation mechanisms to enable effective AI use in requirements analysis, development, testing, code review, and troubleshooting, improving delivery efficiency while maintaining engineering quality. Required Qualifications A bachelor’s degree or above in Computer Science or a related field, with at least four years of backend development experience. Either Go or Java is acceptable. Strong programming fundamentals, including knowledge of the concurrency model, memory management, and performance optimization of at least one mainstream backend language. Ability to independently troubleshoot complex issues. Experience developing distributed systems and contributing to the design of core business modules or systems. Hands-on experience handling concurrency conflicts, idempotency, duplicate message consumption, cross-service consistency, timeouts, and failure recovery. Proficiency with common backend technologies, including RPC frameworks, caches, message queues, and relational databases, with an understanding of their appropriate use cases and reliability limitations. AI-assisted engineering capability — a core requirement: Proficiency in using AI coding tools for requirements decomposition, system analysis, coding, testing, and code review. Ability to validate outputs and maintain engineering quality rather than relying solely on generated code. AI application engineering capability — a core requirement: Hands-on experience developing and deploying AI/LLM capabilities in real-world scenarios. Ability to clearly explain the problem definition, personal contribution, technical trade-offs, and outcome validation. Experience must extend beyond basic tool usage or demonstration-only projects. Fund-related business experience — a mandatory requirement: Hands-on development experience with systems involving funds or monetary value, such as commission rebates, settlement, reconciliation, payments, accounting ledgers, vouchers, promotional credits, or subsidies. Experience addressing monetary precision, duplicate disbursements, failure compensation, or financial reconciliation, with the ability to explain the stages you owned and the mechanisms used to ensure correctness. Proactivity, business understanding, and cross-functional collaboration skills. Ability to translate business goals into technical problems and acceptance criteria. Commitment to testing, code review, observability, permission boundaries, and data security, with ownership of delivery and production outcomes. Preferred Qualifications AI Agent / agentic workflow development experience — a key priority: Hands-on experience designing, developing, and continuously iterating on Agent workflows involving tool calling, workflow orchestration, context and memory management, state persistence, failure recovery, or human intervention. Projects may include business products, internal tools, or actively used and maintained personal projects. Experience evaluating Agent performance and improving reliability. Ability to identify issues through evaluation datasets, failure cases, execution traces, or business metrics, and validate the impact of improvements. Experience building team-wide AI-assisted engineering workflows, such as custom Skills, Rules, context conventions, automated testing, or AI code review pipelines that have been adopted by the team. Experience independently owning complex business modules or driving cross-system projects, including proposing solutions, coordinating dependencies, and delivering outcomes. Familiarity with complex rule systems, microservices, and asynchronous task orchestration. Ability to determine when to use traditional workflows versus Agents based on cost, determinism, and error risk. Additional Advantages Experience developing retention, user incentive, lifecycle engagement, or growth platforms, including collaboration with Product and Operations to evaluate outcomes using business data and experiments. Practical experience with RAG, vector retrieval, knowledge bases, MCP, AI translation, search, or Agent orchestration frameworks, with the ability to explain technology choices and their limitations. Engineering experience at a cryptocurrency exchange or fintech company, or actively maintained and used personal projects and open-source contributions. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Uzbekistan; Kazakhstan; Georgia; Armenia; Kyrgyzstan Super Dispatch is seeking a Senior QA Engineer to join our Engineering Team. In this role, you'll ensure the stability and quality of the products and services that power our platform. You'll collaborate with a passionate team of engineers to develop innovative solutions and shape the future of the auto transport industry in the United States. Responsibilities: Collaborate with the development team in investigating, reporting, and fixing bugs. Perform manual acceptance testing, exploratory testing. Build and maintain the test cases documentation. Be a quality assurance leader within the team you work with and within Super Dispatch in general. Collaborate on testing and quality assurance projects across teams within Super Dispatch. Facilitate collaboration with engineers, product managers, and designers during the development and testing process. Be a valued member of an autonomous, cross-functional agile team with its mission, comprised of a product manager, UX designer, a frontend engineer, and a backend engineer. Be a leader of the QA engineering community of Super Dispatch affecting and driving our quality assurance standards across the company. Minimum requirements: At least 5 years of professional experience in general, at least 1 year of which is experience working in an agile product-driven environment as a QA Engineer. At least 1 year of experience with testing automation tools. Advanced level English. Analytical mindset. Basic knowledge of web technologies like HTML, CSS, JS. Knowledge of quality assurance practices and ability to implement them in practice. Deep understanding of web applications (browsers, HTTP). Experience working with cross-functional teams. Plus points: Proficiency in at least one web development programming language. Understanding of Agile methodology with practical experience in Agile environments. Strong understanding of CI/CD concepts. Experience with AI agents and LLMs, or a solid understanding of how they work. Minimum requirements: 5+ years of QA experience, at least 1 year of which is experience working in an agile product-driven environment as a QA Engineer. Strong Analytical Mindset. You can analyze complex problems, find root causes, and don't just follow the test cases. Proficiency in Python or TypeScript. You can write scripts and read developers’ code to understand how features work. Experience with modern automation frameworks. Practical knowledge of tools like Playwright, Cypress , or Pytest. Strong SQL skills. You can write queries to verify data directly in the database. Expertise in API testing. You are comfortable testing REST/GraphQL endpoints (Postman, cURL, etc.). Solid understanding of Client Server architecture. You know how HTTP works and can comfortably debug using Browser DevTools. Strong knowledge of Test Design techniques. You know how to cover complex logic with optimal test scenarios. Advanced level English. Plus points: Experience testing AI, LLMs, or Chatbots. Understanding of CI/CD processes. Experience in the Logistics or Auto Transport domain. Candidates profile: If you consider yourself an eager learner, a conscientious worker, and a thoughtful, kind, supportive human, you might just thrive at Super Dispatch. To be successful, you will need a combination of problem-solving, troubleshooting, and communication skills. We expect you are: Collaborative - you closely work with team members in other fields like backend, design, frontend, and product management to help solve business problems effectively. Proactive - you act without being told what to do. You bring new ideas to the company. Flexible / Adaptable - you adjust quickly to changing priorities and conditions. You cope effectively with complexity and change. Move fast - you execute quickly and get things done. Growth driven - you seek growth in learning, and efficiency, and celebrate wins. Customer focus - you are truth-seeking individuals who can empathize with customers. You patiently listen and take feedback to solve problems for customers. Communication - You can comfortably communicate in English (speaking and writing). You can share knowledge and experience with team members via documentation. What we do Our mission at Super Dispatch is to transform the world of vehicle shipping by becoming the leading platform for moving cars. For too long, the auto transport industry has been left without effective tools and instead given outdated processes and disconnected systems. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future. Who we are Our diverse team is comprised of highly motivated professionals with a passion for solving big problems with technology. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We put our team first. We are committed to supporting each other and helping each other grow on this journey. What we offer: Great Culture - We strive for transparency and you’ll work with like minded highly motivated people excited about solving complex problems Remote First Culture - We’re a 100% distributed team! Gym/Wellness Stipend - We provide a monthly stipend for gym memberships ($50/month) Generous Time Off Flex PTO policy so you can take the time you need, when you need it, as well as 6–12 weeks paid paternity leave Great gear – we’ll set you up for success with the right tech and help you outfit your home office, if needed. Location Requirement: We’re especially interested in candidates located in Eastern European or Central Asian regions. Does this sound like you? We'd love to hear from you if so.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole. Role Summary As the FP&A Lead, you will be the primary architect of our financial future. You won't just track numbers; you will translate complex data into a compelling narrative that drives executive decision-making. You will lead the annual budgeting, quarterly forecasting, and long-range planning processes, acting as a strategic partner to department heads to optimize resource allocation and fuel sustainable growth. Job Responsibilities Own the company’s financial planning, budgeting, and forecasting processes. Build and maintain sophisticated, driver-based financial models to perform scenario analysis. Prepare monthly management reports (P&L, Balance Sheet, Cash Flow) with clear variance analysis vs budget and forecast, delivering deep-dive variance analysis that explains the "why" behind the numbers. Partner closely with business leaders to understand performance drivers and challenge assumptions. Analyze revenue, costs, margins, and cash flow to identify risks and opportunities. Support long-term planning, scenario analysis, and sensitivity modeling. Leverage BI tools and AI-driven forecasting to automate routine reporting and improve the accuracy of predictive modeling. Improve forecasting accuracy through data-driven insights and continuous process improvements. Monitor KPIs and create dashboards for executive and stakeholder reporting. Support ad-hoc analysis related to investments, pricing, new initiatives, or cost optimization. Ensure data consistency between FP&A models and ERP / source systems. You will thrive here if you have… Bachelor’s degree in Finance, Accounting, Economics, or related field (MBA is a plus). 7+ years of experience in FP&A, corporate finance, or controlling with at least 3 years in a leadership or project-lead capacity. Strong financial modeling and analytical skills. Excellent understanding of P&L, Balance Sheet, and Cash Flow mechanics. Advanced Excel / Google Sheets skills (Power Query, complex formulas, modeling best practices). Experience working with ERP system Business Central 365 will be considered an advantage. Ability to translate complex financial data into clear business insights. Exceptional "data storytelling" skills—the ability to influence senior stakeholders who may not have a finance background. High attention to detail with a proactive, ownership-driven mindset. That can be a plus: Experience in fast-growing, tech, fintech, SaaS, or platform-based businesses. Experience with BI tools (Power BI, Looker, Tableau, etc.). Exposure to treasury, cash management, or multi-currency environments. Prior experience building FP&A processes from scratch or scaling them. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol with everything you need for deep work and collaboration. Free catering in the office, Wolt Allowance, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process HR interview Interview with the hiring manager Test assignment: case study Final interview Job Offer