Sales Support Agent

About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.  Great journeys start with Trainline 🚄  Now Europe’s number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.  Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.  Introducing the Trainline Machine Learning and AI Team 👋 Machine Learning and AI play an important role in Trainline’s mission to help millions of people make more sustainable travel choices every day. Our models and AI-powered systems support critical areas of our platform, from customer support agents and search recommendations to pricing, routing optimisation, personalised experiences and digital marketing. Our Machine Learning and AI teams own the full delivery lifecycle, from early ideas through to production systems that create measurable impact for our customers and the business. As MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders across Trainline. In this role as the MLOps Engineering Manager, you will... 🚄 * Build and lead a new team of MLOps Engineers, creating an environment where people can do their best work while delivering meaningful outcomes for customers and the business. * Define and evolve MLOps processes, tooling and infrastructure choices across the technology department, helping teams build scalable, reliable and maintainable machine learning and AI systems. * Own the deployment and operation of machine learning products, ensuring models and AI systems are production-ready, observable and able to support Trainline’s growth. * Partner closely with engineering, data science, product and data teams to bring strong engineering standards into machine learning delivery, while recognising the specific challenges of data, AI and ML systems. * Support the productionisation of batch and online machine learning models, including recommendation systems, classification and regression models, large language models and agent-based systems. * Promote high standards for experimentation, testing, monitoring and continuous improvement, helping teams learn quickly and make evidence-led decisions. * Contribute actively to Trainline’s AI and ML community, sharing knowledge, shaping best practice and supporting a culture of collaboration, curiosity and impact. * Help the team make thoughtful technology choices across cloud infrastructure, CI/CD, monitoring and MLOps tooling, with a focus on long-term maintainability and measurable business value. We'd love to hear from you if you have... 🔎 * Experience leading, managing or mentoring engineers, with a thoughtful and inclusive approach to developing people, building teams and supporting delivery. * Strong experience productionising machine learning models at scale, ideally across both batch and online use cases such as recommendation systems, classification models, regression models, large language models or AI agents. * A good understanding of the machine learning development lifecycle, including data extraction, feature engineering, modelling, evaluation, deployment and ongoing monitoring. * Experience with cloud infrastructure, ideally AWS, alongside DevOps technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure-as-code. * Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. * Strong Python experience, with helpful knowledge of Spark or PySpark for working with large-scale data and machine learning systems. * An understanding of feature stores and related data technologies used to support operational machine learning products. * Clear communication skills, with the ability to work effectively across engineering, data, product and business teams, and explain technical concepts in an accessible way. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.  We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!  We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:  * 💭 Think Big - We're building the future of rail  * ✔️ Own It - We focus on every customer, partner and journey  * 🤝  Travel Together - We're one team  * ♻️ Do Good - We make a positive impact  We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!

This hybrid role is based in Dublin, Ireland (Full relocation provided). Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms.  A day in the life (Responsibilities) * Develop and drive an architectural vision to support the ambitious goals for agents and agent development * Be an active participant and an authoritative technical voice in FinTech product strategy discussions * Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production * Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole * Evolve an ever more efficient way of working through agents and spread it across Toast * Work directly with the product manager for the Team Agent space, collaborating to drive vision * Be hands on and actively participate in development on the Team Agent * Mentor and develop technical leadership across Team, and Fintech What you'll need to thrive (Requirements) * 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems * 10+ years experience building and operating SaaS products, ideally AWS hosted * 1+ years experience using the latest in coding agents  * A strong desire to lean all in on agentic development practices * Passion for building autonomous agents * Demonstrated ability to drive technical architecture for a company or highly scalable line of products * A desire to work not only with technologists but also product owners and business leaders * Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load * Ability and desire to communicate and influence at the executive level What will help you stand out (Nonessential Skills/Nice to Haves) * Experience designing agentic products * Experience building systems that leverage LLMs and other ML models * Experience with enterprise integration using Apache Camel * Experience architecting event-driven distributed systems using Apache Pulsar * Experience defining test, build and deploy strategies * Solid understanding of workforce management * Solid understanding of restaurant operations #LI-HYBRID #BI-Hybrid   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.