Jobs at Lula

Lead identification, validation, and execution of new growth opportunities through partnerships, markets, and products. Own pipeline, close and scale partner deals, run pilots/MVPs, track partner performance and metrics, and work cross-functionally to ensure commercial execution and revenue outcomes.

Lead product strategy and roadmap for partner funding journeys in a fintech. Define and prioritise backlog, write feature specs, collaborate with engineering, design, data and BD, use analytics and customer feedback to drive iterative delivery and partner integrations, and influence stakeholders to achieve business outcomes.

Senior Software Engineer to design, develop, and maintain Lula's Microsoft-stack cloud lending platform. Contribute to system architecture and technical decisions, implement features and integrations, improve code quality and CI/CD, mentor junior developers, conduct code reviews, plan and deliver projects, collaborate with product teams, and support movement toward continuous deployment.

Drive a data-centric enterprise risk program: identify, assess, monitor and report risks; maintain the Enterprise Risk Register; develop KRIs and dashboards; embed risk practices into product lifecycles; support combined assurance and audit collaboration; run risk workshops and risk awareness programs across the business.

Design, deploy, and maintain Azure infrastructure and developer environments; build and optimize CI/CD pipelines using Azure DevOps and GitHub Actions; automate infrastructure with IaC (Terraform); implement security best practices including SonarQube; mentor junior staff and act as a technical escalation point.

Own the full lifecycle of data for a fintech innovation pod: design and safeguard migrations, build reliable data pipelines, implement observability, manage CI/CD and Azure infrastructure, run containerized workloads, and document platform decisions for production handoff.

Support operations managers by documenting and improving processes, assisting SMEs with change rollouts, creating training and tooling recommendations, producing operations reports, ensuring process controls, and supporting projects from requirements through implementation to improve customer service and efficiency.

Owner of HubSpot CRM architecture and data governance: manage database health, user governance for 120+ users, design complex automations and custom objects, maintain bi-directional integrations (Zendesk, Snowflake, Apollo, Twilio, Convertflow), troubleshoot sync/API issues, and build dashboards to drive commercial insights and optimize tool ROI.

Manage, optimise, and report on paid media campaigns across Google Ads, Meta, and other channels focused on lead generation and ROI. Conduct A/B tests, refine audience targeting and landing pages, build dashboards, collaborate with creative/product teams, and assist budget pacing to improve CPA, ROAS, and conversion rates.

Provide high-quality, omni-channel customer service for lending and onboarding processes. Meet SLAs/KPIs, support customers across voice/email/chat, resolve issues, ensure compliance, provide feedback to improve workflows, and maintain clear communication on lending applications and next steps.

Maintain and improve Azure-based infrastructure and applications to ensure reliability, scalability, and security. Monitor systems, respond to incidents, perform RCA, build observability and automation, collaborate with developers and SecOps, participate in on-call rotation, mentor junior engineers, and act as technical escalation and CAB approver.

Own and rapidly build polished, production-credible frontend interfaces for AI-native products. Maintain design system and UI primitives, handle interaction quality, integrate with backend APIs, and use AI-assisted tooling to iterate autonomously in a small innovation pod.

Manage end-to-end B2B sales for SME funding (R10k–R500k), convert high-volume applications, analyze bank data for credit decisions, scale exposure for qualifying clients, maintain portfolio retention, and keep an accurate, data-led sales pipeline and forecasts.

Design and maintain an end-to-end dbt analytics layer: build governed, consumption-ready models, enforce data quality and semantic layers, partner with stakeholders, mentor engineers, and ensure performant system design.