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Manage a pipeline of warm inbound leads, engage business owners to assess funding needs, present and close Liberis funding solutions, and collaborate with Partnerships, Risk, and Operations to ensure a smooth customer journey while meeting sales targets.

Manage a pipeline of warm inbound leads, conduct discovery calls with business owners, present tailored funding solutions, close deals, and collaborate with Partnerships, Risk, and Operations to ensure smooth funding. Meet individual and team sales targets, track KPIs, and mentor junior sales team members.

Lead U.S. legal and regulatory matters: negotiate commercial contracts, advise on sales-based financing and privacy, support product and commercial teams, manage a small legal team, own legal operations and corporate governance, create playbooks/templates, oversee privacy compliance and international launches, and drive legal training and process improvements.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure with a focus on AI enablement. Implement and manage CI/CD, containerised deployments (Kubernetes/Cloud Run), Terraform-managed infrastructure, observability, guardrails, and cost controls. Prototype and productionise AI agents (Claude), integrate agent tooling, support Azure-to-GCP migration, and drive adoption via docs, templates, and cross-team collaboration and mentorship.

Lead design, build, and operate resilient data pipelines and low-latency ML feature streams into BigQuery. Own operational health, monitoring, incident response, and collaborate with analytics and ML teams to define schema, data quality, and platform direction. Mentor junior engineers and optimise performance and developer velocity.

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.

You will be part of the Engineering team, focusing on delivering high-quality software, mentoring juniors, and contributing to the full software lifecycle.

Design, build, and operate resilient ETL/ELT pipelines ingesting data from Azure SQL, SaaS, and event streams into BigQuery. Implement declarative pipelines (DLT), support low-latency ML feature pipelines, ensure operational health, monitoring, and incident response. Collaborate with analytics and AI/ML teams, mentor junior engineers, optimise platform performance, and influence platform architecture and tooling decisions.

Own and evolve service templates for .NET, Node.js and Python; build reusable CI/CD pipeline templates; define observability standards; implement platform tooling (Docker, Kubernetes/Cloud Run, Terraform); work with Datadog/incident.io/GCP/Azure monitoring; assess Azure-to-GCP migration impacts; partner with product teams to fix developer-experience issues; lead technical decisions and mentor engineers.

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.