Top Tech Jobs & Startup Jobs in London

Own the platform roadmap, stability, release quality, and investment business cases. Prioritize platform work by measurable commercial value, translate technical initiatives for leadership and product teams, and coordinate cross-functional stakeholders. Serve as the interface between platform engineering and product pods while contributing hands-on through coding, pull request reviews, and architecture discussions. Establish reliability metrics, enforce CI/CD standards, manage trade-offs, and ensure platform investments improve developer velocity, resilience, capacity, and time to market.

Own the platform roadmap, stability, release standards, investment cases, and business outcomes. Translate between engineering, product, finance, leadership, and pod teams while prioritizing platform work by commercial value. Contribute hands-on through coding, code reviews, architecture discussions, and technical decision-making. Establish measurable success metrics, manage trade-offs, and ensure platform investments improve reliability, developer velocity, capacity, and time to market.

Associate Product Manager for UK Loans, responsible for improving repayment performance, customer engagement, loan-management journeys, and financial-support experiences. The role involves experimentation, customer research, dashboard creation, data analysis, AI automation, and coordinating product launches with Engineering, Data Science, Credit, Finance, Operations, and customers.

Own prime lending strategy, portfolio economics, pricing, promotions, growth, and risk-adjusted returns. Partner with Credit Risk, Data Science, Growth, and Product to optimize customer acquisition and profitability. Lead experimentation, scenario modeling, market analysis, and senior-level decision-making. Build and manage a high-performing analytics team while using AI and advanced models to accelerate insight and execution.

Analyze pricing, promotions, conversion funnels, customer segments, and product performance to support responsible growth. Design and evaluate pricing and product experiments, monitor commercial metrics, assess expansion opportunities, and provide data-backed recommendations. Collaborate with Credit Risk, Data Science, Product, Growth, and Engineering teams while documenting analyses and experiment results.

Investigate and resolve customer complaints across loans, credit cards, and auto finance. Manage a live caseload, communicate with customers by phone and in writing, produce evidence-based final response letters, calculate redress, apply FCA and DISP requirements, and identify product or process improvements. The role includes structured training toward becoming a competent Complaints Officer.

Build and improve analytical data models supporting lending decisions, pricing, portfolio analysis, and investor reporting. Develop reliable, scalable ELT transformations, strengthen data quality and warehouse usability, support analysts, troubleshoot pipeline issues, and promote analytics engineering standards. Collaborate with technical and non-technical stakeholders while using modern tools including SQL, Snowflake, dbt, Fivetran, and AI.

Build and optimize lending products using modern PHP, Symfony or Laravel, APIs, microservices, and cloud technologies. Contribute to architectural decisions, automated testing, message-driven systems, event sourcing, and domain-driven design. Work collaboratively in cross-functional teams while taking ownership of product and engineering outcomes.

Lead an engineering team developing the Zable mobile app platform for over one million customers. Own delivery processes, technical strategy, quality, incident management, cross-team collaboration, and alignment with business goals. Build a high-performing team through coaching, skills assessment, cross-training, and career development while balancing feature delivery with technical investment and maintaining reliable, high-quality software delivery.

Analyze pricing, loan funnel, and credit optimization opportunities within Lendable’s UK Loans team. Responsibilities include researching pricing strategy improvements, developing analytical models, collaborating with credit and product teams, working with large datasets, communicating findings to stakeholders, and gradually taking ownership of models. The role requires Python, SQL, statistical and machine learning knowledge, strong numerical ability, and effective teamwork.