Top Tech Jobs & Startup Jobs in Belfast

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, security, scalability, and failure handling. Integrate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with Engineering, Compliance, Operations, Treasury, Finance, and Design to build reliable, auditable financial products. Manage APIs, data flows, ledgering, reconciliation, security, scalability, regulatory requirements, third-party dependencies, and AI safeguards. Drive trade-offs across correctness, speed, cost, reliability, compliance, and user experience.

Build and lead an AI-native consumer investing business, defining its proposition, roadmap, business model, and investment experiences. Own P&L, assets, customers, engagement, revenue, and unit economics while partnering with product, engineering, and AI teams. Develop AI-powered investment research, discovery, portfolio management, and decision support. Build investing, technology, product, and commercial teams, then expand into new investment products and markets.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements, financial rails, and third-party dependencies. Apply AI and LLMs with evaluation, safeguards, human oversight, and reliability controls while aligning cross-functional teams.

Owns an AI finance product vertical end-to-end, including strategy, roadmap, technical design, delivery, launch, metrics, and regulatory readiness. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance. Requires experience with complex technical products, regulated financial domains, and AI or LLM-powered products.

Own a financial product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI and LLMs with evaluation, safeguards, oversight, and reliability controls while aligning compliance, operations, treasury, finance, design, and engineering.

Own an AI investing product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning compliance, operations, finance, treasury, and design.

Owns an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partners with engineering, compliance, operations, treasury, finance, and design across payments, remittance, insurance, wealth, and trading products. Must balance correctness, scalability, security, user experience, cost, speed, and regulatory constraints in high-consequence financial systems.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with appropriate evaluation, safeguards, oversight, and failure handling while aligning engineering, compliance, operations, finance, and external partners.

Build and lead an AI-native stockbroking business, defining its proposition, roadmap, business model, and AI-powered investing experiences. Own P&L, funded accounts, assets, trading activity, revenue, unit economics, brokerage infrastructure, custody, market data partnerships, licensing, regulatory readiness, and expansion. Collaborate with product, engineering, and AI teams, while recruiting and scaling the core team.