Top Tech Jobs & Startup Jobs

Develop and maintain finance services supporting transactional accounting, invoicing, and reporting. Design scalable solutions, investigate issues, improve system reliability, and ensure rigorous testing and code review. Collaborate with engineering, data, product, and security teams on technical roadmaps and project feasibility. Work with .NET, MongoDB, SQL Server, Kafka, Redis, and Docker while supporting continuous improvement across financial applications.

Manage UK and US corporate tax compliance, including returns, payments, reporting, tax calculations, and reconciliations. Lead compliance calendars, assess Pillar Two impacts, monitor legislation, support financial close, and coordinate with advisors and finance teams. Supervise Tax Associates, strengthen controls and documentation, and communicate tax matters to stakeholders. The role requires hands-on international tax expertise, UK and US corporate tax knowledge, ASC 740 experience, advanced Excel skills, and strong accounting analysis capabilities.

Manage international corporate tax compliance across the Netherlands, UK, and US. Lead tax return preparation, payments, reporting, reconciliations, Pillar Two considerations, and tax disclosures. Coordinate with finance teams, external advisors, and tax providers while ensuring accurate, timely compliance. Support IAS 12 and ASC 740 tax calculations, monitor legislative developments, maintain controls, and lead a team of Tax Associates.

Build and maintain scalable data solutions for the FintechOps department. Responsibilities include transforming raw data with BigQuery, dbt, and Python; creating data models, reports, and dashboards in BigQuery and Looker; applying statistical analysis; resolving data-quality issues; collaborating with stakeholders; and communicating insights clearly.

Build and scale AI-driven automation for catalogue and content operations. The role covers problem discovery, prototyping, backend and pipeline development, production deployment, monitoring, optimization, and ROI measurement. Responsibilities include developing GenAI and LLM workflows, orchestrating Python and Airflow services, implementing RAG and tool-calling systems, applying AI safety practices, evaluating emerging technologies, and helping establish a reusable AI capability across business and technical teams.

Lead a multidisciplinary team of software engineers, data scientists, and machine learning engineers building personalization systems for search, recommendations, and customer experiences. Own the machine learning roadmap, provide technical oversight, guide end-to-end model development and productionization, and ensure system quality through testing and monitoring. Partner with senior leadership and product stakeholders, manage delivery priorities, and support team development and continuous technical innovation.

Develop and optimize promotional campaigns, loyalty rewards, and customer growth initiatives to increase engagement, repeat purchases, lifetime value, and ROI. Manage promotional planning, budgeting, segmentation, testing, execution, reporting, and cross-functional optimization across marketing, analytics, finance, product, and creative teams. Present actionable recommendations to senior leadership and support individual development.

Manage operational performance for marketplace boutique partners, monitor trends, resolve operational queries, and identify process improvements. The role coordinates initiatives across catalogue management, fulfilment, returns, and inventory while developing data-driven recommendations, standardizing processes, and supporting partner experience improvements. It requires advanced Excel skills, strong communication, Italian and English fluency, and comfort managing multiple projects in a B2B or customer service environment.

Develop and maintain FARFETCH’s Python-based Statistical Engine powering its experimentation platform. Ensure accurate, reliable, and scalable A/B test results; introduce statistical methods and experiment designs; improve data integration and platform maintainability; and collaborate with Data Engineering, Analytics, Product, and Engineering teams. The role also explores AI-assisted development and advanced experimentation techniques such as causal inference and variance reduction.

Plans, builds, deploys, and optimizes automated CRM campaigns across email, push, and in-app channels. Manages triggers, segmentation, personalization, testing, reporting, and campaign troubleshooting while collaborating with data, engineering, product, creative, analytics, and commercial teams to improve customer experience and CRM performance.