General Manager - Cards

Own the Cards business end-to-end, including strategy, P&L, budget, roadmap, and execution.

Define and manage the economics of the card program.

Own TPV, active cards, customer spending, retention, and monetisation.

Build financial models covering revenue, card issuance costs, processing costs, customer margin, and LTV.

Identify opportunities to improve profitability and customer engagement.

Present strategy, performance, and key decisions directly to C-level stakeholders.

Own the full card customer journey from onboarding and issuance to activation and everyday spending.

Develop virtual and physical card products.

Own subscription, cashback, and other card-related mechanics.

Improve activation rates and increase customer spending.

Develop simplified onboarding and KYC flows together with Compliance.

Own card-related customer experience and continuously identify friction points.

Own relationships with issuing, processing, BaaS, and other card infrastructure providers.

Manage integrations and operational dependencies.

Negotiate commercial terms with providers.

Reduce vendor lock-in and build resilience against changes in provider terms or availability.

Ensure the card business can continue operating reliably as it scales.

Manage critical incidents involving providers together with engineering.

Understand and optimize the unit economics of every active card.

Track customer profitability, card issuance and servicing costs, transaction economics, retention, and LTV.

Identify opportunities to increase transaction volume and customer engagement.

Design product mechanics that encourage customers to keep spending through GoMining Cards.

Work with Growth and Marketing on acquisition, activation, and retention initiatives.

Lead the engineering team responsible for the Cards direction.

Work directly with the Tech Lead on architecture and delivery.

Own roadmap, priorities, backlog, releases, and key incidents.

Hire and develop team members when needed.

Build a high-speed, data-driven execution culture.

Use AI and automation across product development, analytics, specifications, QA, and operational processes.