Jobs at Liberis

Manage customer funding submissions from Sales through fund release, maintaining a 50–60-case pipeline. Responsibilities include reviewing documentation, collecting missing information, communicating with customers, securing signed contracts, coordinating with funding partners, and collaborating with Sales and Underwriting to resolve blockers and improve processes.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure, including compute, networking, CI/CD, Kubernetes, Cloud Run, and Terraform-managed environments. Lead adoption of AI agents using Claude, developing integrations, orchestration, observability, guardrails, and cost controls. Support the Azure-to-GCP migration, create reusable AI capabilities, document platform practices, collaborate with product engineers, drive adoption, make technical decisions, and mentor colleagues.

Own and deliver complex Salesforce solutions end-to-end using Apex, Lightning Web Components and declarative tooling. Design integrations, architect platform changes, write tests, review code, troubleshoot production issues, mentor teammates, and improve CI/CD, DX and platform reliability in a hybrid, cross-functional engineering environment.

Senior engineer who designs and develops APIs and services, mentors engineers, works in Agile teams, participates in on-call rota, and helps drive a cloud migration to GCP. Collaborative, experimentation-focused role using C#, Node and React.

The Senior Data Product Manager will lead data and insights product development, managing a team to enhance decision-making across commercial, credit, finance, and operations while fostering AI capabilities.

Lead credit and commercial strategy for a platform family: translate commercial priorities into credit questions, apply pricing and credit frameworks, co-build and validate models, and collaborate cross-functionally to embed credit strategy in product and go-to-market decisions.

Design and optimise global credit decisioning and pricing strategies using data and predictive models. Collaborate with Risk, Product, Commercial and ML teams to monitor models, propose features, and deliver commercial insights to maximise customer funding within risk appetite.

Lead development of central pricing and decisioning capabilities, including unit economics, yield targets, monitoring and testing frameworks, scalable tooling, and oversight of pricing/decisioning analysts. Collaborate with AI/ML engineers and cross-functional teams to translate family-specific needs into scalable, configurable model requirements and toolkits to drive credit and commercial strategy.