Top Tech Jobs & Startup Jobs in London

Lead a software engineering team responsible for collections, recoveries, litigation, and investor management systems. Own complex cross-team delivery, technical strategy, architecture, engineering performance, and secure scalable solutions. Mentor engineers, resolve cross-team misalignment, communicate with technical and non-technical stakeholders, and promote effective use of AI tooling. The role requires strong programming experience in Ruby, Clojure, Python, or another major language, plus recognized technical authority.

Leads the evolution of design at Funding Circle, partnering with Product and Engineering leadership to shape strategy, simplify regulated lending experiences, establish design excellence, and build a high-performing design team. The role combines hands-on design leadership, coaching, hiring, design operations, commercial accountability, workflow redesign, and the application of AI to improve operational efficiency and solve complex business challenges.

Lead product strategy and roadmap for Funding Circle’s shared platform capabilities, including identity, access, customer data, third-party integrations, CRM, and engineering infrastructure. Drive discovery with internal teams, align product and engineering roadmaps, manage migrations, encourage adoption, and ensure platform users can ship faster and solve problems independently. The role requires strong technical judgment, stakeholder management, clear communication, and understanding of regulated fintech environments.

Own the vision and strategy for Funding Circle’s multi-product customer experience. Lead Product Managers, develop cross-product customer journeys and capabilities, and partner with Engineering, Design, and business leadership to deliver customer and business outcomes. The role requires extensive product management experience, team leadership, strong collaboration skills, and AI-native product development experience. Fintech, lending, customer experience transformation, and consumer and SME exposure are advantageous.

Lead the operating model for Product, Engineering, and Design, establishing leadership rituals, product reviews, calibration sessions, release gates, and continuous improvement practices. Embed AI-driven tools and automated workflows into the product development lifecycle, coordinate regulatory and compliance checks, and hold senior leaders accountable for improving how teams build and ship products.

Manage marketing audience logic, segmentation, workflows, and operational processes across tools including Segment, Amplitude, and Iterable. Improve campaign processes, operational standards, reliability, documentation, and risk controls while collaborating with developers, analysts, data product owners, and channel marketers. The role supports data-driven customer communications and introduces new technologies, including generative and agentic AI, into marketing operations.

Manage marketing technology platforms and operations, partnering with engineering on solution design and implementations. Roll out platform features, enable self-service campaign users, automate workflows with agentic AI, build low-code data pipelines, and maintain platform reliability, documentation, and controls. The role requires enterprise marketing systems administration, data integration knowledge, spreadsheet expertise, stakeholder communication, and familiarity with APIs, webhooks, JavaScript or Python, big-data tools, and regulated industries.

Own the full B2B sales cycle for SME lending, from outbound prospect engagement through loan issuance and repeat funding. Build and manage a high-quality pipeline, understand business goals, structure financial solutions, pitch against competitors, maintain long-term borrower relationships, exceed monthly targets, and mentor junior colleagues. This phone-driven role is based in London with three office days per week.

Lead data modelling strategy and standards, design and implement data models (star schemas), build scalable transformations using SQL, dbt, Python/PySpark, mentor engineers, co-own backlog, and translate business needs into technical solutions including custom AI and automation.

Own and develop data products that improve Funding Circle’s data maturity and enable data-driven decision-making. Translate stakeholder needs into prioritized roadmaps, manage domain OKRs, collaborate with data and analytics engineers, and create valuable datasets and data solutions. Coach junior data product colleagues, align product engineering with analytics teams, and communicate technical delivery in terms of business outcomes.