Top Artificial Intelligence Jobs in George Town

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and drive continuous iteration based on data, feedback, research, and production issues.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and iterate using data, research, feedback, and production insights. Balance speed, user experience, business impact, compliance, and operational complexity.

Own AI stockbroking and other financial-services product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, analyze performance and feedback, manage trade-offs, and drive execution with high ownership.

Own AI stockbroking and other financial-service product areas from user problem discovery through launch and iteration. Define product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; analyze feedback and performance; and make trade-offs across speed, experience, impact, compliance, and operational complexity.

Own product areas for an AI neobank across financial services such as payments, savings, investing, insurance, and travel. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to iterate after launch.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use data, research, feedback, experiments, and production issues to improve products, make trade-offs, launch quickly, monitor performance, and drive iteration.

Own AI Investing product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use data, customer feedback, research, experiments, and production issues to guide decisions, launch features, monitor performance, and drive continuous improvement while balancing speed, experience, business impact, compliance, and operational complexity.

Own product areas across financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial workflows. Use research, feedback, experiments, and performance data to launch, monitor, and iteratively improve products while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial workflows; use research, feedback, experiments, and performance data to iterate; and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, and investing. Define user problems, roadmaps, metrics, scopes, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously improve products using data, research, feedback, and production insights.

Lead an AI payments business unit end to end, owning P&L, strategy, product decisions, team building, execution, growth, revenue, partnerships, operations, and profitability. The role requires launching and scaling products, coordinating product, engineering, design, commercial, and operations teams, and making fast decisions in an entrepreneurial environment.

Leads an AI-native email app business end to end, owning P&L, strategy, product direction, team building, execution, growth, partnerships, operations, revenue, and profitability. Identifies customer and commercial opportunities, works with product, engineering, and design teams to launch products, and manages performance through rapid, hands-on decision-making.

Own product areas within AI Investing and broader financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch features, monitor performance, and drive continuous iteration while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI stockbroking and related financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, experiments, and production data to improve decisions; launch features, monitor performance, and drive iterations while balancing speed, experience, business impact, compliance, and operational complexity.

Build and scale AI products using full-stack development, LLM integrations, APIs, databases, automation platforms, and testing frameworks. Improve production codebases, automate workflows, expand solutions across markets and teams, measure adoption, and support regulated environments. Collaborate with technical and business stakeholders, gather requirements, participate in architecture reviews, provide training, document solutions, and maintain coding standards. Candidates need at least three years of relevant experience and hands-on AI or LLM application experience.

Own AI stockbroking and other financial-services product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use data and customer feedback to guide decisions, monitor performance, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use data, feedback, experiments, and production insights to launch and continuously improve products.

Own product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, metrics, feedback, experiments, and production insights to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship and improve financial products. Use research, feedback, metrics, experiments, and production insights to prioritize decisions and balance speed, user experience, business impact, compliance, and operational complexity.

Own financial product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial workflows, launch features, monitor performance, and iterate using data, feedback, research, and production insights.

Own core platform features and AI-powered personalization across Binance’s main site, including homepage, user center, market pages, onboarding, recommendation strategies, and generative UI. Partner with engineering, design, data, ML, and business teams to define requirements, improve user journeys, increase conversion and engagement, establish success metrics, run experiments, and iterate on user-facing products.

Manage a team of UAT testers, implement test strategies, ensure quality assurance, oversee testing processes, and foster collaboration across teams.

Manage a team of UAT testers, develop test strategies, oversee both manual and automated testing, and ensure quality assurance processes. Collaborate with cross-functional teams and implement improvements in QA methodologies.