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Location: Colombia Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Location: Mexico Job Summary The Labeling Operations Manager (LOM), Associate provides operational support for the initial creation and relevant updates to labeling documents, including Core Data Sheets (CDS), United States Package Inserts (USPI), Summary of Product Characteristics (SPC) for products registered in the EU via Centralized, Mutual Recognition or Decentralized Procedures, and their associated Patient Labeling Documents. The LOM, Associate will be knowledgeable of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format, and will raise awareness of important factors to consider when revising the label. The LOM, Associate provides project management to the Labeling Team throughout the labeling review and approval process through notification to stakeholders, ensuring that documents are produced in a timely manner according to internal SOPs and external regulatory requirements. This includes setting clear targets, ensuring Labeling Teams are aware of review and approval timelines, and following up with team members so deliverables remain on target for internal and external deadlines. Job Responsibilities Support the review and delivery of labeling documents and their associated Patient Labeling Documents. The LOM, Associate supports non-complex products and projects. Labeling Operations Manager - Associate 1 Provides operational support for project tasks, including: Prepare comparison tables for labeling team discussions. Generate necessary renditions, such as clean and marked PDF and clean and marked Microsoft Word, and bookmark renditions as appropriate. Facilitate document management workflows through the appropriate document management system. Finalize documents after QC. Notify internal stakeholders of the availability of labeling documents. Ensure compliance with Company submission standards, policies and procedures. Ensure all actions follow applicable SOPs and associated documents so that high-quality delivery and compliance are maintained. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Provides operational support for simple projects, including: Consolidate comments from Labeling reviewers and Regulatory Authorities. Edit and format labeling documents and ensure compliance with the appropriate template, such as QRD or PLR. Update and maintain the CDS log. Set clear targets for review and approval timelines using effective project management. Follow up with Labeling Team members to ensure deadlines are met. Ensure appropriate tracking of labeling projects through defined procedures and optimal use of systems. Provide shadowing opportunities to Trainee LOMs. Qualifications / Skills Qualifications and skills necessary for performance of responsibilities, including education, relevant experience, licenses, certifications, and technical and managerial skills. Qualifications Education Bachelor's degree required, preferably in a science or life sciences-related field. 0-2 years of practical experience. Labeling Operations Manager - Associate 1 Experience and Attributes Excellent written and verbal communication skills. Complete fluency in English. Proven strength in logical, analytical and writing ability. Interpersonal and Communication Skills Clear and effective written and verbal communication skills. Technical Skills High attention to detail. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Labeling Operations Manager - Associate 2 (in addition to Associate 1) Experience and Attributes Identifies and resolves problems proactively. Project Management Capability and Organizational Skills Demonstrated project management skills and attention to detail. Ability to assess and manage project timelines. Ability to multitask, prioritize and manage multiple projects. Ability to identify and resolve problems proactively. Appropriate decision-making, including issue escalation to the Global Labeling Lead (GLL) and other appropriate stakeholders. Interpersonal and Communication Skills Ability to liaise with stakeholders using effective means of communication. Technical Skills Ability to apply labeling regulatory guidance on formatting requirements. Ability to consolidate comments from multiple sources, such as emails and meeting minutes. Knowledge of labeling guidance and policies related to technical and formatting requirements, such as the QRD template and PLR format. Systems and Document Compilation Skills Excellent computer skills and proficiency with Microsoft Word and similar applications. Ability to prepare submission-ready documents. Organizational Relationships Provide the primary groups or key roles with which this role interacts regularly, including external interactions as appropriate. The Labeling Operations Manager, Associate reports to the Labeling Operations Manager, Team Lead.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is looking for an ambitious Senior Engineering Manager to join our Disputes team. Our mission is to build the tools, services, and models that help merchants manage and win disputes at scale - reducing the cost and operational burden of chargebacks while protecting revenue for our merchants and our business. Disputes sit at the intersection of merchant-facing products, complex scheme and regulatory processes, and data-driven decisioning. Our team owns the full stack, anchored by a .NET back end that manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity, shifting priorities, and the occasional setback - so we're looking for a resilient leader who has built and sustained high-performing teams, learned from failure, and come back stronger. Above all, you'll be someone who drives predictable delivery and operational efficiency: shipping consistently, running systems reliably, and continuously improving how the team works. The ideal candidate has operated across both enterprise and scale-up environments and has a proven track record of driving growth within large, complex, regulated organisations. Key Responsibilities - Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. - Own predictable, high-velocity delivery — establishing healthy engineering practices, sensible estimation, and a smooth path from idea to production so the team ships consistently and sustainably. - Drive operational efficiency and reliability by automating processes — including monitoring and alerting — meeting SLAs/SLOs, reducing operational cost, and minimising toil to keep the team focused on high-value work rather t - Continuously improve delivery and operational metrics (e.g. cycle time, deployment frequency, change failure rate, and incident response), using data to identify bottlenecks and raises the bar over time. - Manage team engineers across various seniority levels and disciplines while staying hands-on when needed. Cultivate an inclusive environment where every team member feels they belong, and mentors them in both their career development and interpersonal skills. Make a good team great, and keep it great.. - Oversee quarterly execution of roadmap delivery, ensuring the team stays focused on the right priorities and manages efficiently through dependencies and cross-functional hurdles. - Collaborate across Engineering, Product, and Operations to deliver solutions for merchant and internal dispute use cases. - Build and strengthen relationships with engineers, managers, and people leads across multiple teams. - Operating in a highly regulated financial space, ensure compliance with a range of control frameworks — from internal stakeholders such as InfoSec and Internal - Audit, to external auditors, card schemes, and regulators. - Oversee the responsible use of machine learning and AI in dispute decisioning, leading the team to develop the infrastructure, tooling, and governance required to run models safely and at scale in production. About You - A resilient leader who has learned from setbacks and failures and consistently comes back stronger, keeping teams steady and delivering through periods of change and ambiguity. - You thrive on pace. You're energised by a high-growth environment, comfortable making decisions with imperfect information, and you keep the team moving and shipping when priorities shift under you. - A proven track record of driving predictable delivery and operational efficiency — improving throughput, reliability, and the team's cost of operation, and using metrics to back it up. - Proven experience building, growing, and sustaining high-performing engineering teams over time — not just standing them up. - Experience across both enterprise and scale-up environments, with a demonstrated track record of driving growth and delivery within large, complex, regulated organisations. - A strong back-end engineering background, ideally in .NET / C#, leading teams building scalable, event-driven services and APIs. Comfortable also overseeing front-end and machine learning work, able to earn credibility and make sound trade-offs across disciplines even where you aren't the deepest expert. - Able to partner with Product Management to assess technical feasibility, provide capacity estimates, and balance new features against architectural health. - Excellent time management and proactive problem-solving skills. Technologies we work with - Back end (primary): .NET / C#, REST APIs, event-driven and microservice architectures. - Front end: React, TypeScript. - Machine learning: Python, model training and serving, and the infrastructure to run models in production. - Data & platform: SQL, plus experience designing batch and stream data-processing systems. - Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. - Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Brisbane, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 13,000 clients in over 150 countries. If you have a favourite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 400 people in over 35 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offers unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role We are seeking a Financial Controller to take full ownership of VALD's day to day finance function across all group entities. You will join a strong, capable finance team already in place, and your role is to manage, mentor and empower them to take the function to the next level. You will oversee the monthly close, consolidation, audit, tax compliance, treasury and transactional finance. This is a hands on leadership role in a fast growing, multi-entity, multi-currency SAAS business. You will coach the team, build their technical and commercial capability, and create the structure, processes and controls that let them scale with the business. You will also own the control environment and act as the first point of contact for finance matters across the business. Success means a confident, high performing team delivering accurate, on time numbers that the executive team trusts, with minimal escalation. The ideal candidate is a technically strong CA/CPA with an audit background and several years in an industry controller or senior finance role, ideally in technology or subscription businesses. You will have a genuine track record of developing people and raising a team's performance. Experience with NetSuite, mergers and acquisitions, international tax and multi-jurisdiction groups is highly regarded. You will be a team player with a can do attitude, comfortable moving between hands on tasks, detailed review and big picture process design. What will you do? Finance operations and month-end close • Own the monthly, quarterly and annual close across all group entities, delivering to an agreed close calendar. • Oversee multi-entity consolidation, intercompany reconciliations and eliminations, and foreign currency translation. • Ensure balance sheet reconciliations are completed, reviewed and supported each month. • Own revenue accounting for bundled hardware and subscription contracts (AASB 15 / ASC 606), including deferred revenue and billing integrity. • Deliver monthly management reporting packs. Transactional finance and treasury • Oversee accounts payable, expense management and payroll across jurisdictions. • Manage daily cash, bank relationships, cash flow forecasting and FX exposure. • Maintain banking facilities, covenant monitoring and lender reporting. Financial reporting, audit and compliance • Review statutory financial statements under AASBs and US GAAP. • Ensure statutory and local entity filings are lodged on time. • Review technical accounting positions, including business combinations, share-based payments. Tax • Oversee tax compliance across all jurisdictions: income tax, GST/VAT/sales tax, payroll taxes and R&D tax incentive claims. • Coordinate external tax advisors and maintain transfer pricing documentation and intercompany agreements. • Monitor sales tax nexus and indirect tax obligations as the business expands into new markets. Controls, systems and process improvement • Design, document and maintain a scalable internal control framework, including delegations of authority. • Act as finance system owner for NetSuite and connected tools, driving automation and ERP enhancements. • Integrate acquired businesses into VALD's finance processes, systems and reporting. • Continuously improve close efficiency, data quality and reporting turnaround. Team leadership and business partnering • Lead, coach and develop the finance team, setting clear priorities and standards. • Act as the day to day finance contact for the business, resolving queries without escalation. • Provide actuals, data and analysis to support budgeting, forecasting and strategic projects led by the Head of Finance. Skills, Experience and Competencies Technical skills and knowledge • Strong working knowledge of AASBs; US GAAP experience highly regarded. • Proven ownership of month end close and consolidation for a multi-entity, multi-currency group. • Solid understanding of revenue recognition for subscription arrangements. • Working knowledge of Australian and international tax compliance, including indirect taxes and R&D incentives. • Experience designing and operating internal controls in a growing business. To qualify for the role, there are some basic minimum requirements: • CA/CPA qualified (or equivalent). • 8+ years' experience, including at least 2 years in commercial roles. • Audit background (Big 4 or mid-tier) highly regarded. • Technology, SAAS or hardware enabled subscription experience an advantage. • Hands on NetSuite experience strongly preferred; system administration or implementation experience a bonus. • Exposure to acquisitions and post acquisition integration desirable. Competencies and attributes • Takes genuine ownership: reliable, organised and delivers without being chased. • Leads and develops people, with high standards and a supportive style. • Continuous improvement mindset with a bias towards automation and scalable processes. • Commercial mindset; explains accounting matters in clear, practical terms. • High attention to detail balanced with the judgement to prioritise what matters. • Proactive, adaptable and energised by a fast-paced, changing environment; no task too big or small. • Comfortable working across time zones. Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team. Some of our perks and benefits include: Competitive market salary in a down-to-earth, inclusive and vibrant work environment. Learning from a range of high-performing individuals and teams across a range of disciplines and geographies doing interesting and varied work. Flexible working environment, with a casual dress code – no more corporate attire, T–shirts are the norm. You can also say goodbye to billable hours and timesheets. Table tennis, basketball court, end-of-trip facilities with bike and scooter racks if that’s your thing. Chefs that prepare you delicious fresh breakfast and lunch every day! On-site barista to make your coffee just as you like it. Team gym, remedial massage therapy, subsidised access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment While the successful candidate should be an Australian Citizen or Permanent Resident, we are committed to growing and empowering an inclusive VALD team. That's why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know.

Location: California Workplace: onsite Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.  Project Details Location: Palo Alto, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts  Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)  Start: ASAP Compensation: US$35/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs. Perform human robot interaction tasks per script, including gestures and object handovers. Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently. Coordinate closely with your station partner to maintain timing, consistency, and safety. Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries. Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures. Support fast iteration cycles as tasks, tools, and priorities evolve. Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Detail oriented, reliable, and consistent in repetitive, process-driven work. Clear communication and teamwork; receptive to coaching and feedback. Prior teleoperation/robotics or lab data collection experience preferred; training provided. Basic computer skills for simple logging and spreadsheets. Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: California Workplace: onsite Overview We’re hiring an onsite lead to run day-to-day execution for our robotics data collection pilot, built around I2RT YAM bimanual robotic arms. You’ll guide a team of data collection operators, keep operations safe and consistent, and act as the main onsite point of contact for client stakeholders. Please note that this role does not own staffing schedules or inventory management.   Project Details Location: Palo Alto, CA — 100% onsite Type: Contract Schedule: Full-time; 8 hours/day, 5 days/week Duration: Minimum 2-week pilot; potential extension through year-end and beyond Start: ASAP Compensation: $50/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Oversee daily execution and station readiness; enforce SOPs, quality, and safety protocols. Coach operators on teleoperation and HRI execution; provide on-the-spot refreshers and corrective guidance. Monitor live sessions and data quality; perform first-level troubleshooting and escalate issues appropriately. Maintain concise daily notes and issue trackers; communicate blockers, risks, and needs to client teams. Contribute to SOP and checklist refinements based on observations. Utilize client-provided equipment, SOPs, examples, and hands-on training to align the team on best practices. Qualifications Hands-on experience leading robotic teleoperation and/or HRI data collection. Strong communication, coaching, and problem-solving skills in lab/field environments. Comfortable driving consistency, safety, and quality in repetitive workflows. Job Reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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

Sokin is looking for a Product Manager Payment Success to improve payment processing and client payment experiences.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Nicaragua; Honduras; Ecuador; El Salvador; Guatemala; Colombia We are seeking a detail-oriented Virtual Medical Administrative & Patient Engagement Coordinator to support our Medical Wellness and Health Optimization practice. The ideal candidate has prior U.S. healthcare administrative experience and excels at navigating insurance eligibility transitions, outbound patient engagement, and multi-platform scheduling with speed and accuracy. Key Responsibilities 1. Medical Administration (Primary Priority) Collect insurance details, process patient intake/registration, and verify eligibility and benefits (VOB). Enter and update demographic and clinical administrative data in Tebra . Support cash-pay workflows and document tracking in Avexcia . Upload medical records and track missing documentation. Provide administrative support to the billing team during the insurance rollout. 2. Patient Engagement & Outbound Calls (Secondary Priority) Make outbound calls to existing and prospective patients to convert inquiries into bookings. Follow up on incomplete registrations and unconfirmed appointments. Maintain detailed records of all patient interactions in the PM system. Direct and escalate clinical questions to medical providers appropriately. 3. Reception & Scheduling (Third Priority) Answer inbound phone calls using Ooma . Manage, schedule, and reschedule appointments in Mindbody/Legacy . Answer general patient inquiries and route messages to appropriate team members. Requirements Experience: Strong medical administrative or virtual medical assistant experience at a U.S.-based practice. Insurance Knowledge: Familiarity with insurance verification, eligibility checks, patient registration, and practice management (PM)/EHR systems. Software Familiarity: Experience using Tebra and Mindbody (or comparable systems like Kareo, eClinicalWorks, etc.). Communication: Excellent spoken and written English with a professional, warm phone demeanor for outbound calls. Skills: Strong data entry skills, high attention to detail, and ability to work independently. Compliance: Working knowledge of HIPAA rules and standard U.S. patient privacy guidelines. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skillset and experience. The schedule is Monday through Friday, 8am-5pm, CST.

Location: Metn, Lebanon Role Overview At Toters, we are on a mission to be the heartbeat of local economies, driving growth by connecting people with anything they need, fast. We believe in turning big ideas into real-world impact, empowering local businesses and making everyday life easier for our customers. We are looking for an HR Officer to support the day-to-day delivery of HR services for Toters Fresh and Trade warehouse employees. This role will support recruitment coordination, onboarding and offboarding, employee documentation, workforce system updates, attendance and payroll inputs, and employee queries. It is suited to an organized and proactive HR professional who can manage a high volume of recurring tasks accurately, provide responsive employee support, and ensure that established processes are followed across warehouse locations. Key Responsibilities Recruitment & Staffing Coordination Coordinate recruitment activities for warehouse roles, including candidate screening, interview scheduling, candidate communication, recruitment events, and maintenance of hiring trackers. Follow up with hiring managers and candidates to keep recruitment steps moving and help ensure selected candidates are ready to join on the agreed date. Support referral and other approved recruitment initiatives and maintain accurate records of candidate progress and recruitment outcomes. Onboarding, Offboarding & Employee Documentation Collect and check required onboarding documents, coordinate joining formalities, and ensure employee records and system setup are completed in line with established procedures. Follow up on missing documents and NSSF-related information with employees and relevant stakeholders, escalating delays or gaps that could affect compliance or payroll. Coordinate offboarding documentation, employee status updates, and transfers between warehouse branches, ensuring records are updated accurately and on time. HR Systems, Attendance & Payroll Inputs Maintain accurate employee data in the applicable HR and workforce management systems, including Upthyme for warehouse workforce administration. Collect, verify, and coordinate attendance, overtime, leave, time deviations, and other payroll-related inputs with warehouse managers before submission deadlines. Flag data errors, system discrepancies, missing approvals, and unusual timekeeping records, and follow through with the relevant teams until resolved. Employee Support & HR Administration Respond to routine employee questions and direct complex or sensitive matters to the appropriate HRBP or senior HR colleague. Support the administration of probation reviews, employee communications, performance documentation, and approved recognition or engagement initiatives. Maintain orderly and confidential employee files and ensure employee transactions are processed only with the required approvals and supporting documents. Reporting & Process Follow-up Update trackers relating to recruitment, onboarding, offboarding, employee documents, attendance exceptions, and other routine HR activities. Prepare accurate periodic reports and summaries, highlighting outstanding actions, recurring errors, and items requiring manager follow-up. Follow approved SOPs and checklists, meet recurring deadlines, and suggest practical improvements where a process is unclear or inefficient. What We're Looking For 1 to 3 years of experience in HR, HR operations, recruitment coordination, or a related administrative role. Bachelor’s degree in Human Resources, Business Administration, or a related field is preferred. Experience in a high-volume or operational environment is an advantage. Basic understanding of employee lifecycle processes, employee documentation, attendance, and payroll inputs. Comfortable using HRIS or workforce management systems; experience with Excel and data tracking is important. Awareness of Lebanese employment documentation and NSSF processes, or willingness to learn these quickly. Strong attention to detail, organization, and follow-through, with the ability to handle recurring deadlines. Clear communication skills, a service-oriented approach, discretion, and the ability to work effectively with employees and operational managers. What Sets This Role Apart Direct exposure to the employee experience across a large and growing warehouse network. An opportunity to develop broad HR operations skills, from recruitment and onboarding to employee support and workforce data. A practical role where accuracy, responsiveness, and follow-through make a visible difference to operations. The opportunity to grow within a developing HR function and take increasing ownership over time.

Location: Colombia We're looking for a detail-oriented Operations Team Member to support the day-to-day administrative, leasing, compliance, and reporting functions across multiple manufactured housing communities in the U.S. This is an execution-focused role — you'll be the back-office engine that keeps leasing, billing, maintenance tracking, and reporting accurate and on time for our onsite Community Managers. If you thrive on process, love clean data, and get things done right the first time, this role is for you. Core Responsibilities Leasing & Resident Administration Enter and maintain leases, renewals, move-ins, and move-outs in Rent Manager Upload and organize resident documents (IDs, income proof, applications, agreements) Track lease expirations and flag renewals in advance Process resident info sheets and verify completeness Background Checks & Compliance Run and track background & credit checks Record approvals/denials per Fair Housing guidelines Maintain audit-ready resident files Support compliance with HUD, state, and park-level rules Charges, Billing & Collections Support Post rent, utilities, late fees, and one-time charges accurately Assist with water, sewer, trash, and power billing setups Identify and flag NSFs, delinquencies, and discrepancies Coordinate with accounting on corrections and reconciliations Maintenance & Work Order Support Create and update work orders in Rent Manager Track status and follow up with Community Managers Upload invoices, notes, and before/after photos Help ensure maintenance hours are logged correctly Reporting & Data Accuracy Prepare weekly/monthly reports (occupancy, delinquencies, move-ins/outs, leasing pipeline) Validate data accuracy across Rent Manager and Google Sheets Proactively flag exceptions, trends, and risks Communication & Coordination Serve as back-office support for onsite Community Managers Communicate clearly via Slack and email Escalate issues with context and documentation What Success Looks Like (KPIs) Data accuracy rate ≥ 99% Lease processing turnaround ≤ 24 hours Background checks completed same business day Near-zero billing error rate 100% on-time reporting Slack responsiveness within agreed SLA Requirements 2+ years of experience in real estate back-office, property management, or operations Prior experience supporting U.S.-based clients preferred Strong proficiency in Rent Manager (or demonstrated ability to learn fast) Comfortable with Google Sheets, Docs, and Drive (intermediate to advanced) Working knowledge of U.S. leasing, billing, and compliance concepts Extremely detail-oriented, organized, and process-driven High integrity when handling confidential data Calm under pressure and comfortable supporting multiple communities at once Bilingual (English/Spanish) strongly preferred

Location: Marousi, Greece We are seeking a senior litigator from a leading Greek law firm or an in-house legal function, with 8+ years' post-qualification experience and strong expertise in public procurement litigation. The ideal candidate combines courtroom experience with a preventive, commercially minded approach, and can protect the group's interests in competitive tender processes while keeping disputes to a minimum. You will join a dynamic, fast-growing GovTech business that bids for and delivers contracts for EU institutions and national public authorities across Europe. Key Responsibilities Act as the group's senior authority on dispute resolution, setting strategy and overseeing any litigation, arbitration or administrative proceedings involving ED's entities across jurisdictions. Protect ED's position in public tenders: assess procurement decisions and, where appropriate, pursue or defend challenges before national review bodies, the Greek administrative courts and Council of State, and the EU General Court. Advise senior management and bid teams at key tender milestones (evaluation, award, standstill) so decisions to challenge, intervene or defend are well founded and proportionate. Prevent disputes by strengthening tender submissions, contract terms, and consortium and teaming agreements, drawing on procurement and litigation insight. Resolve contractual issues with clients, subcontractors and consortium partners early, favouring negotiated outcomes that protect long-term relationships. Select and manage external counsel in Greece, Luxembourg, Belgium and other jurisdictions when needed, ensuring strategy alignment and cost control. Provide the CEO and the Board with clear, periodic reporting on legal risk and exposure, and give input to Finance where relevant. Guide and support the in-house disputes team, promoting consistent quality and sound judgement. Advise on contractual risk in EU institutional and public sector framework contracts, and support compliance, governance and M&A due diligence as required. Requirements LLB/LLM and qualification to practise law in Greece (member of the Athens Bar Association or equivalent); rights of audience before the higher courts preferred. 8+ years' experience in litigation and dispute resolution at a recognised Greek law firm or a comparable in-house role, with substantial public procurement litigation experience. Strong knowledge of national procurement review procedures and EU public procurement law, including the EU Directives and the EU Financial Regulation rules for procurement by EU institutions; experience before the EU courts is a strong advantage. Proven ability to assess legal risk proportionately, manage external counsel and budgets, and communicate clearly with senior management and boards. Experience guiding or mentoring other lawyers. Fluent English (written and spoken) is essential; French or other European languages are a strong plus. Sound judgement, independence and the ability to work across multiple jurisdictions. Commercial mindset, with a preference for practical, preventive solutions over adversarial ones. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( CO&LC/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Вы владеете операционным контуром платформы целиком — департамент 18 человек, подчинение напрямую CEO.

Location: Thuwal, Saudi Arabia The Site Manager represents the Client on-site and oversees renovation activities to ensure safe, timely, and quality delivery in accordance with approved drawings, specifications, project requirements, and HSE standards. The role coordinates contractors and multidisciplinary stakeholders, monitors project progress, resolves site issues, and ensures the successful completion and handover of renovated housing units. Key Responsibilities Act as the Client’s primary representative at the project site and coordinate with the PMC, contractors, designers, operations, and end users. Monitor renovation progress, contractor performance, schedules, resources, and site constraints. Coordinate civil, architectural, electrical, mechanical, and other construction activities. Ensure compliance with approved drawings, specifications, method statements, quality standards, and HSE requirements. Identify and resolve technical issues, risks, delays, and site coordination challenges. Lead site coordination meetings, track action items, and review contractor progress reports. Coordinate inspections, snagging, testing and commissioning, defect closure, and final handover. Liaise with operations and facilities management to confirm housing unit readiness. Provide regular management reports on progress, risks, delays, and required decisions. Qualifications and Experience Bachelor’s degree in Civil Engineering, Architecture, Construction Management, or a related discipline. Minimum 10 years of construction and site-management experience. Proven experience in housing renovation, residential refurbishment, or building construction. Experience managing multidisciplinary contractors and coordinating site activities. Strong knowledge of health, safety, environmental, and quality requirements. Project or construction management certification preferred; relevant professional registration where required. Key Competencies Site leadership and stakeholder management. Construction planning, coordination, and problem-solving. Quality assurance and HSE compliance. Reporting, communication, and decision-making.

Location: Jakarta, Indonesia; Kuala Lumpur, Malaysia Eram Talent, a division of Eram Group, provides human resources, industrial projects, and maintenance services solutions across a wide range of sectors, including oil and gas, petrochemicals, power, infrastructure, water, mining, healthcare, and IT. With a strong presence across complex industrial environments, the company supports clients with specialized expertise that helps keep critical operations safe, reliable, and efficient. This role focuses on providing process-engineering support to the power generation block, with an emphasis on equipment performance, thermodynamic analysis, operational troubleshooting, and plant optimization. You will contribute to the safe and efficient operation of utility systems by working closely with operations and technical teams to evaluate performance trends, investigate deviations, and support improvement initiatives across key power-generation assets. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Monitor and evaluate Power Generation Block equipment performance daily using process data analysis, efficiency calculations, heat-rate assessments, KPI tracking, and dashboard updates. Perform engineering calculations, thermodynamic assessments, equipment evaluations, and technical studies to identify efficiency losses and improvement opportunities. Assess heat exchangers, steam-turbine-generator condensers, HRSGs, and cooling systems for heat transfer, fouling, and thermal efficiency. Support diagnostic programs for gas and steam turbines, review monthly performance reports, coordinate with OEMs, and develop corrective actions. Investigate process deviations, operational upsets, efficiency losses, and equipment performance issues. Provide daily process-engineering support to Operations, recommend corrective actions, optimize operating parameters, and review SOPs and EOPs. Support mechanical integrity programs and evaluate process impacts on equipment health. Conduct feasibility and improvement studies covering plant efficiency, reliability, steam-cycle performance, water consumption, and emissions. Support plant modifications, MOC activities, design notices, risk assessments, root-cause analyses, and commissioning. Prepare technical reports, performance summaries, recommendations, operating guidelines, and unit trip reports within 24 hours of an upset. Requirements Strong understanding of IGCC power-generation processes, P&IDs, PFDs, and H&MBs, including syngas-fired gas turbines, HRSGs, steam turbines, steam-cycle systems, and power-block interfaces with gasification complexes. Advanced understanding of power-block equipment and steam-cycle systems, with the ability to evaluate equipment performance, heat rate, efficiency, and thermal losses using sound engineering principles and performance-analysis techniques. Ability to perform heat-and-mass balance calculations, energy accounting, process-performance evaluations, troubleshooting, root-cause analysis, and performance-gap investigations. Knowledge of mechanical integrity, asset management, process safety, Management of Change, HAZOP methodology, risk assessment, environmental compliance requirements, and plant operating procedures. Proficiency with process simulation, thermodynamic modeling, and performance-analysis tools such as Aspen Plus, Aspen Plus Dynamics, Aspen HYSYS, GateCycle, or equivalent. Strong capability in process-data analysis using DCS, PI Historian, and performance-monitoring systems to evaluate plant performance and identify operational deviations. At least 7 years of relevant experience in power generation plants, combined-cycle systems, steam systems, boilers, turbines, power distribution, or energy efficiency. Bachelor’s degree in Mechanical Engineering, Process Engineering, or a related field. Experience in petrochemical, refining, gas processing, chemical manufacturing, gasification, fertilizer, power generation, or large industrial utility operations. Professional proficiency in English and effective communication skills for technical reporting and team collaboration. A PE certificate is a plus.