Senior Backend Software Engineer

Fin [https://fin.ai/] is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. WHAT'S THE OPPORTUNITY? Customer Agent is the next major evolution of Fin. We’re building toward a single AI agent that works across the full customer lifecycle, from support to sales to ecommerce, and eventually success. This role sits within a newer and fast-growing part of the organisation. The group is focused on expanding Fin beyond customer service into broader customer-facing jobs, building the product capabilities that allow one agent to work across multiple roles with shared context. The competitive landscape is intense. Fast-moving AI-native startups are shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure and can maintain high standards while moving at startup speed. WHAT WILL YOU DO? * You’ll own strategically significant work streams end-to-end. * Be accountable for outcomes, not just delivery cadence or team health, but whether the work actually moved the needle. * Manage from the front line: deeply understanding the product, the customer problem, and the context. * Help shape teams operating in ambiguous spaces, especially where product direction is still emerging and close partnership with Product is essential. * Work closely with cross-functional partners, including Product, Design, Sales, and machine learning engineers and scientists where relevant. * Help build a seamless customer experience across sales, ecommerce, support and success, so customers interact with one agent experience rather than being passed between siloed systems. * Sometimes that means writing code yourself. Sometimes it means doing the analysis, driving cross-functional collaboration, or force-multiplying someone on your team who’s stuck. * You’ll bring together engineers who’ve never worked as a team, set high expectations, build momentum under aggressive timelines, and drive execution. * Develop senior engineers into leaders. We need someone who accelerates staff and senior engineers, gives direct, actionable feedback that changes outcomes, and grows the leadership capacity of the people around them. * Partner with the Engineering Director on group-level strategy: where to invest more, where we’re falling behind, and what we should stop doing to go harder somewhere else. * You’ll do all of this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You’ll push the boundaries of what’s possible with AI-assisted development, both personally and through how you set up your teams. WHAT ARE WE LOOKING FOR? The most important thing: you need to be an exceptional people leader and personally action-oriented. Not one or the other. We don’t want managers who are great with people but distant from the product. And we don’t want hands-on operators who neglect the leadership craft. You build high-performing teams and get personally stuck in to drive outcomes when it matters. Beyond that: * Product-minded, not process-minded. You understand what you’re building and why. You have opinions about the product, not just how the team operates. * Comfortable operating in early product formation. You can work through ambiguity, help shape direction with partners, and make sound calls even when the path isn’t fully defined. * Strong product engineering instincts. This role is better suited to someone who has worked in product-heavy environments and is excited by customer problems, roadmap shaping and fast iteration. * AI fluency. You’re actively experimenting with AI-assisted development, forming opinions about how it changes the way teams build software, and pushing your teams to adopt new ways of working. This is table stakes for this role. * Technically credible. You don’t need to be the deepest engineer in the room, but you can hold your own. You can review an architecture proposal and ask the right questions. Engineers respect your technical judgment. * Communication. You can explain to leadership why a team needs more investment, align multiple stakeholders around a complex project, have a difficult performance conversation, and unblock an engineer on a gnarly problem, all in the same day. * Extreme autonomy. You identify problems, form convictions, and act on them. If you’re the kind of manager who waits for direction, this isn’t the right role. * Critical thinking about the business. You understand what Fin is optimising for and translate that into team-level decisions. * This is an engineering management role for product teams building AI-powered customer experiences in close partnership with ML and adjacent teams, not a role directly managing ML engineers or ML scientists. WHY FIN, WHY NOW? Fin is #1, and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. The engineering decisions made in the next 12 months will determine who wins. Fin has been building for 15 years: deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Fin trends up. We recently raised $250M to go even further even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Fin if you want the impact of a startup with the backing of a company that's been winning for 15 years. BENEFITS We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!  * Competitive salary and equity in a fast-growing start-up. * We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. * Regular compensation reviews - we reward great work! * Pension scheme & match up to 4%. * Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. * Flexible paid time off policy. * Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. * If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too. * MacBooks are our standard, but we also offer Windows for certain roles when needed. #LI-Hybrid Policies  Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values [https://www.intercom.com/careers].   Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Senior Data Engineer to join our Data Team, taking a leading role in building the complex, scalable systems that power our data strategy. You will lead architectural discussions, own the design of business-critical data solutions and deliver high-quality systems that bring millions of fans closer to the sports they love. This is a fantastic opportunity to lead the optimisation of our data platforms for real-time AI/ML workloads, mentor engineers and make a significant impact on our business. The Senior Data Engineer leads technical initiatives, maintains data integrity and performance, and works across teams to translate complex business requirements into effective data solutions. The role also uses automation and artificial intelligence to improve efficiency, decision-making and productivity across the organisation. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!  Key Responsibilities  * Lead the design and delivery of robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Own the design of data models and databases that support business analytics and intelligence, using dimensional data-modelling principles. Select and use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Lead the automation of data workflows and optimisation of data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and establish best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts and IT teams to define data requirements and deliver comprehensive data solutions. Provide technical leadership and guidance to team members. * Evaluate new GCP features and data-engineering technologies, setting technical direction where they can enhance data infrastructure or enable new data products. * Lead the resolution of critical pipeline failures and data-quality incidents, performing fault analysis and ensuring that preventative improvements are implemented. * Lead critical system-design and architectural decisions for scalable batch and real-time workloads. * Partner with cross-functional teams to translate complex or ambiguous business needs into effective and innovative data solutions. * Mentor engineers, review technical designs and foster a culture of continuous learning and engineering excellence. * Own improvements to the reliability, performance and cost-effectiveness of data systems. * Lead the design and maintenance of robust, secure integrations with core internal systems and critical third-party platforms. * Define appropriate monitoring and alerting standards to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience  * Significant experience in data engineering or data warehousing with large-scale, complex datasets. * Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately. * Strong knowledge of data-modelling techniques. * Deep experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing. * Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. * Experience with Airflow environment management and Docker. * Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. * The ability to explain complex technical concepts clearly and concisely to technical and non-technical stakeholders. * Demonstrable experience applying data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach, with the ability to anticipate and resolve system inefficiencies. * The ability to lead cross-functional technical work and translate complex or ambiguous requirements into robust data solutions. * A track record of taking end-to-end ownership for the quality, reliability and performance of business-critical data solutions. * Experience mentoring engineers and influencing technical standards across a team. What can we offer?  * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials