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Job Title: On Trade - Regional Business Development Manager Location: North East and York Contract and working pattern: Field based, permanent Reports To: National Account Manager Ready to make your mark on the North East and York's On Trade scene? Join us and Be Your Best Barr None Lets Grow!!! We are all about Being Your Best Barr None and having a career with real Moments that Matter! Employing around 850 people across the UK, we are proud to be a responsible business that takes care of our people, values diversity, gives something back to our communities and works to minimise our environmental impact. For 150 years AG Barr has been building great brands and is home to some of the nations favourite flavours. At our core is IRN-BRU, launched in 1901 and still going strong today, the vibrant RUBICON fruit based brand, Boost making every moment better with a caffeine kick, hydration hit or tasty treat, and FUNKIN where real fruit means authentic taste. We also have a number of exciting owned brands within our portfolio including MOMA, which crafts quality oats into great tasting oat drinks and porridge. There's never been a better time to join us What we’re looking for… We want you to help us take our portfolio to the next level across the North East and York's most iconic bars and restaurants and join our growing On Trade team, representing market leading products from the FUNKIN Cocktails, Frobishers, Rubicon, Bundaberg and IrnBru range. (Scotland, NE, Yorkshire) As our On Trade RBDM you will be responsible for driving new and developing existing distribution of products from the AG Barr portfolio in Key Regional and multi Site Operating accounts within an assigned territory (regional pub groups, premium bar operators, restaurant groups and hotel chains). The scope of the position covers day to day execution of national agreed plans overlaid with local activity mutually agreed to deliver objectives within agreed /budgets. Your responsibilities will include... • KPI Ownership: Responsible for hitting targets related to revenue, distribution, new business, and product availability., • Joint Business Plans (JBPs): Developing mutual growth strategies with key customers to ensure both A.G. Barr and the client see a return on investment., • New Business: Identifying and securing new stockists while negotiating commercial terms that protect profit margins., • Supply Chain & Forecasting: Managing the end-to-end flow of stock—from the factory to the warehouse, and ultimately to the store shelf—to ensure products are never out of stock., • Activation: Executing promotional campaigns and seasonal "big bets," ensuring high visibility and "point of purchase" awareness (e.g., menu placements and displays)., • Budget Oversight: Managing promotional and trade investment budgets to ensure all deals remain profitable for the company., • Insight-Led Selling: Using category data and consumer insights to influence customers and optimise sales performance., • Stakeholder Management: Building long-term partnerships with buyers, marketing teams, and internal stakeholders., • Reporting: Handling all administrative duties, internal communications, and account reviews to keep all parties aligned on business decisions. What you’ll bring... • Significant experience in FMCG or strategic sales, preferably Key Account Management. We value your results more than your years on the clock. • Direct experience within the UK/Local On-Trade drinks industry and cocktails is preferred but not essential (e.g. spirits, beer, wine, soft drinks), • Demonstrable track record of meeting and exceeding challenging sales targets with a particular focus on New Business., • Excellent IT skills (Google Suite, Excel, PowerPoint & Word). Able to learn new packages (Cognos, IRI/Kantar, Demantra), • Comfortable working with sales data and managing budget, • Highly Organised, • Developed communication skills (especially remotely) You will also demonstrate our AG Barr behaviours of Being Honest, Accountable, Connected and Brave. What we offer… We believe in creating a diverse and inclusive culture where your voice can be heard. Our skilled, loyal and committed people are critical to the future success of AG Barr which is why we are continually investing in our employees to develop their talent. We look after our employees by offering a competitive salary and benefits package which includes; • Annual bonus linked to business and individual performance, • Defined contribution Pension, • 34 days holiday, • Flexible holiday trading, • Flexible cash pot to spend on benefits, • Healthcare Cash Plan, • Flexible benefits e.g. discounts & cashbacks, gym memberships, technology purchases etc, • Life assurance, • Save as you earn scheme, • Staff sales discount, • Free AG Barr products throughout your working day and staff sales, • Annual salary review, • Ongoing professional development and access to Learning and Development programmes and content And much more! To find out more about what it is like to work for AG Barr, please visit our careers platform _ We are an equal opportunities employer and happy to discuss any reasonable adjustments that may be needed for successful candidates with a disability, health or mental health condition. While we have highlighted our ideal requirements for this role, we are realistic that the successful candidate probably won't meet every single requirement in this advert, but we are big advocates of people growing in role. So even if you don’t meet every single requirement, we encourage you to submit an application - you may be just what we are looking for! Apply now! Closing date for applications is 15th April 2026 Speculative CVs from agencies will not be accepted. We’re building a team that reflects the diverse communities who drink our brands. If you're Brave, Honest, and ready to grow, we want to hear from you.

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