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Own platform stability and roadmap as a commercially accountable Technical Product Manager embedded in engineering. Prioritise platform investments by business value, track SLA/SLO and reliability metrics, act as single stakeholder interface between pods and leadership, enforce CI/CD standards, and contribute technically by writing code, reviewing PRs, and participating in architecture design.

Build and maintain data pipelines and ETL processes using Python and SQL; transform and model data with dbt and Snowflake; automate workflows, create tools to optimise operations, and collaborate with technical and non-technical stakeholders.

Build and maintain data pipelines and ETL, transform and model data with SQL and dbt, and use Python to build workflows, automation, and tools to optimise analytics products while collaborating with technical and non-technical stakeholders.

Build and maintain Python-based data workflows and tools; transform and model data using SQL and dbt on Snowflake; develop and operate ETL/data pipelines and data-intensive backend services; collaborate with technical and non-technical stakeholders to deliver high-quality data products.

Work at the intersection of analytics engineering and Python-based data engineering to transform and model data using SQL and dbt, build and maintain data pipelines/ETL, automate workflows with Python, and deliver high-quality data products while collaborating with technical and non-technical stakeholders.

Lead end-to-end product for UK loans onboarding, improving conversion across web and app. Define roadmap, run hypothesis-driven experiments, use Python/SQL for analysis, apply AI to automate workflows, and collaborate with engineering, credit, data science, design and operations to scale origination and ensure regulatory and risk alignment.

Run marketing and growth analytics across multi-product app: maintain LTV models, run experimentation and attribution, analyze campaigns and funnels, build scalable data pipelines, and partner with product, growth and engineering to inform marketing spend and product decisions.

Develop and deploy credit risk and behavioural models for US unsecured loans and credit cards using machine learning. Translate business problems into data questions, run experiments, implement models, monitor performance, and communicate results to stakeholders.

Build and integrate APIs, optimise and develop core lending platforms, participate in architectural discussions, deliver high-quality code with automated tests, and collaborate across product teams to drive fintech features to production.

The role involves owning technical SEO at Lendable, focusing on site architecture, performance, and AI readiness while collaborating on product launches and improvements.