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*This is a remote position is open to Mexico & LATAM candidates* About Us Gerry Davis Sports is a leader in the manufacturing and retailing of apparel and equipment for amateur sports officials, based in the US. We have a committed team within the US and a broad network of independent contractors across North America, South America, the Middle East, and Southeast Asia. Our mission is to help amateur sports officials feel confident and look professional. Whether it’s their first game or 5000th. Job Overview This is a senior-level, hands-on bookkeeping role for someone who thrives in a fast-paced ecommerce environment. You’ll be responsible for the day-to-day financial backbone of the business—keeping our books clean, our vendors paid, and our purchase orders reconciled. Your focus will be entirely on financial accuracy, not operations or process development. You’ll work across systems like Finaloop, Shopify, Shiphero, and Inventory Planner to ensure transactions are properly recorded, reconciled, and categorized. You’ll also be responsible for accounts payable, accounts receivable, intercompany transactions, vendor invoices, purchase order matching, and supporting cash flow forecasting. If you’re someone who takes pride in financial precision and has experience supporting ecommerce accounting, this role is built for you. If you were with us last month, you would have performed tasks like these: • Entered a batch of new purchase orders into Finaloop based on supplier confirmations and official purchase orders, • Reconciled a shipment in Shiphero to its associated invoice and updated line-level discrepancies, • Allocated international freight and duty costs across multiple POs to ensure accurate landed cost tracking, • Uploaded and categorized vendor invoices in Finaloop and verified payments went out on time, • Updated the 13-week cash flow forecast to reflect upcoming payments and customer receivables, • Resolved a mismatch between Shopify order data and Finaloop revenue reports, • Followed up with a vendor to clarify unclear invoice terms, • Used an LLM tool to help structure a bulk reconciliation tracker in Google Sheets What You’ll Own Accounts Payable & Receivable • Enter, categorize, and track bills and payments with accuracy, • Monitor aging reports and follow up on outstanding balances, • Prepare weekly and monthly AP/AR reports to support cash flow planning Purchase Order & Vendor Reconciliation • Record and maintain purchase orders in Finaloop, • Use Shiphero and Inventory Planner to confirm received inventory against vendor billing, • Identify and resolve mismatches between POs, invoices, and inventory receipts, • Allocate landed costs (freight, duty, etc.) accurately across applicable POs Reconciliation & Close Support • Reconcile bank accounts, credit cards, vendor payments, and intercompany activity, • Track and resolve discrepancies with complete documentation and audit trails, • Assist in month-end financial close and reporting Cash Flow & Financial Visibility • Maintain and update a rolling 13-week cash flow forecast, • Flag potential cash risks and support scenario-based forecasting Tools You’ll Use • Finaloop – Our primary bookkeeping system (must be confident using it or willing to dive in and quickly learn the system), • Shopify – Revenue and order source; requires familiarity with how ecommerce transactions are structured, • Shiphero – Used for shipment and inventory verification against financial records, • Inventory Planner – Source of truth for PO creation and demand planning, • Google Sheets – For tracking forecasts, invoice logs, and reconciliation matrices, • Missive – Shared inbox for vendor communications, • AI/LLM Tools – To improve speed, accuracy, and reduce manual entry, • 5+ years in bookkeeping or accounting roles, • Experience with D2C ecommerce strongly preferred, • Finaloop experience is a major plus, • Strong PO/invoice reconciliation skills across systems, • Familiar with inventory accounting concepts and landed cost allocation, • Confident using Google Sheets/Excel for tracking, lookup, and forecasting models, • C1/C2 Advanced/Proficient English Work Requirements A private work environment free of distractions and minimal background noise. • Internet: Reliable internet connection with sufficient speeds and a wired connection to support VOIP, • Hardware:, • CPU: i5/Ryzen 5 processor or better, • RAM: 16 GB minimum, • Main Boot Drive: Solid State Drive (SSD), • HD webcam Schedule One of the following • Monday - Friday, 10am-7pm US Central Time (GMT-5), • Monday - Friday, 9am-6pm US Central Time (GMT-5), • Monday - Friday, 8am-5pm US Central Time (GMT-5), • Monday - Friday, 7am-4pm US Central Time (GMT-5) Full-time position (40 hours per week). Part-time may be available for outstanding candidates. • Competitive salary, • 2 weeks of PTO, • Direct bank transfer, • Bi-weekly payments, • Technology and internet stipend This position is offered as an independent contractor role. The contractor is not considered an employee of the company, and as such is not entitled to any benefits, including pension, retirement, transportation, profit sharing, paid time off, or other benefits specific to company employees. Criminal check, employment verification, education verification and identity document validation is performed before hiring. Interested? Please include your English resume and a customized cover letter when applying. The cover letter should highlight your relevant experience, demonstrate how your skills align with the job requirements, and express your interest in the role and the company. When applying, please put the following into the "TITLE" field: (Today’s day of the week in the US in CST), (Favorite Food), (Where You Live), (Favorite Color). Failure to follow these instructions will result in no further consideration.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu