Top Tech Jobs & Startup Jobs in London

Manage a pipeline of warm inbound leads, conduct discovery calls with business owners, present and close funding offers, communicate via phone/email/SMS/WhatsApp, collaborate with Partnerships/Risk/Operations, hit individual and team sales targets, and mentor junior sales team members.

Manage a pipeline of warm inbound leads, conduct discovery calls with Spanish- and English-speaking business owners, present tailored funding solutions, coordinate with Partnerships/Risk/Operations, and meet individual and team sales targets using phone, email, SMS, and WhatsApp.

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.

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.

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.

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.

Lead the Cloud Platform team's developer experience work: build and maintain service templates and CI/CD pipelines, define observability standards, support platform initiatives (including potential Azure-to-GCP migration), mentor engineers, and drive adoption of platform tooling across stacks (.NET, Node.js, Python).