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Manage inbound/outbound SME finance opportunities, assess business needs, match customers to appropriate lending products, maintain Salesforce CRM records, hit revenue targets, and share insights to improve team performance and customer experience.

The Engineering Manager at Tide oversees engineering practices, leads a cross-functional team, ensures software quality and delivery, and drives continuous improvement while balancing hands-on technical responsibilities.

The Sales Representative will engage with existing members, upselling products, collaborating with various departments, and achieving sales targets. They will also participate in testing new leads and take on additional special projects to enhance business operations.

As an Engineering Manager, lead a cross-functional team of engineers, ensuring quality delivery and implementation of scalable applications while mentoring team members.

The Senior Account Executive will manage small business customers through the application process, build relationships with commercial lending partners, and articulate various finance options while maintaining records in Salesforce.

As an Engineering Manager, you will manage a cross-functional team to deliver and oversee products essential for SMEs, ensuring quality and stability while driving continuous improvement and technical excellence.

Lead design, maintenance and governance of Treasury policy and end-to-end Flow of Funds documentation across products and legal entities. Partner with Product, Finance, Risk, Compliance, Legal and Operations to embed controls, support product launches, drive documentation standards, and respond to audits and regulatory reviews. Influence senior stakeholders and oversee policy review and remediation.

Lead commercial strategy for Tide's UK insurance products: own revenue, forecasting, analytics-driven product prioritisation, GTM and launch execution, cross-functional stakeholder management, and campaigns to drive sales and renewals and increase customer lifetime value.

Lead product strategy and roadmap for acquiring fraud and risk monitoring. Build real-time rules, risk signals, ML and AI decisioning. Reduce fraud and chargeback losses, improve recovery and operations, run experiments, monitor key metrics, and collaborate with Engineering, Data Science, Risk, Operations and Finance.

Design and implement behaviour-based AML monitoring models and segmentation; optimise detection vs operational productivity; translate AML typologies into data-driven controls; ensure audit-ready model documentation; drive analytics roadmap and innovation across monitoring systems.