Top Artificial Intelligence Jobs in Tokyo

Lead product direction, roadmap, standards, and success metrics for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads; balance user experience, data, engineering, business, regulatory, and operational constraints; drive launch quality and continuous improvement across financial services including investing, payments, savings, and insurance.

Own product areas for KIRA’s AI stockbroking and financial services applications. 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, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong product judgment, execution, prioritization, writing, stakeholder management, and ownership.

Consult on enterprise AI governance: design policies, risk frameworks and controls (NIST AI RMF, ISO/IEC 42001, EU AI Act), implement agent lifecycle, data/ID controls and Purview-based data protections, secure Copilot/Azure AI deployments, run risk assessments/PoC governance transitions, and advise executives on AI governance roadmaps.

Lead and manage key Financial Services accounts in Japan, drive enterprise sales from pipeline to deployment, own consumption revenue targets and forecasts, coordinate cross-functional teams to execute complex customer programs, provide industry insights, and support team growth and culture.

Own AI Investing product areas, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and drive continuous improvement. Balance speed, user experience, business impact, compliance, and operational complexity while making decisions with limited guidance.

Own product areas within KIRA’s AI neobank app, defining 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 research, feedback, experiments, and production data. Balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Investing App and other 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 products; use research, feedback, experiments, and performance data to improve products; and make trade-offs involving speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define product direction, user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor results, use research and feedback, and drive continuous iteration while balancing speed, customer experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Stockbroking and broader financial services. Define user problems, product scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, launch features, monitor outcomes, and drive continuous improvement while balancing speed, user experience, business impact, compliance, and operational complexity.

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 issues 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 stockbroking and other 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 journeys. Use research, metrics, feedback, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Own product areas for KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product strategy, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvement.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related 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 journeys, launch features, monitor results, and iterate using data, feedback, research, and production insights.

Design, build, and deploy production-grade AI applications in collaboration with customers. Translate business requirements into technical solutions, develop LLM, RAG, and agent-based workflows, and manage evaluation, MLOps, LLMOps, monitoring, and lifecycle processes. Deploy scalable cloud-native systems, integrate enterprise workflows, identify delivery risks, and balance rapid prototyping with maintainability. The role combines hands-on software engineering, applied AI implementation, stakeholder engagement, and customer delivery in ambiguous environments.

Own product areas across fintech services including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use data, research, feedback, and production insights to improve products after launch.

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

Own AI Investing product areas across financial services, defining 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 issues to improve decisions, launch features, monitor results, and drive iterations while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use metrics, research, feedback, and production insights to drive ongoing improvements.

Lead an AI-native email app business end to end, owning P&L, strategy, product decisions, team building, execution, growth, revenue, partnerships, operations, and profitability. The role requires identifying customer and commercial opportunities, collaborating with product, engineering, and design teams, launching and improving products, and managing performance in a fast-moving, low-structure environment.

Own the AI payments business end to end, including P&L, strategy, product direction, team building, execution, growth, partnerships, operations, revenue, and profitability. Identify customer and commercial opportunities, collaborate with product, engineering, and design teams to launch products, and lead the business from initial concept through scaling and measurable results.

Own AI Investing product areas across financial services, defining user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, metrics, and production insights to improve products, balance trade-offs, and drive rapid post-launch iteration with high ownership.

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, launch features, monitor performance, and iterate using data, research, feedback, 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 products. Use research, feedback, experiments, metrics, and production insights to make decisions, launch features, monitor performance, and iterate while balancing speed, customer experience, business impact, compliance, and operational complexity.

Own AI stockbroking product areas across 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 products. Launch features, monitor performance, use research and feedback 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, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; and use research, feedback, metrics, and production insights to improve products after launch.