Top Artificial Intelligence Jobs in Tokyo

Supports institutional clients investing in private-market infrastructure across Japan and APAC. Responsibilities include client servicing, investor reporting, content production, Japanese-language presentations and translations, regulatory reporting, fundraising support, issue resolution, and process improvement. The role partners with investment, product, operations, technology, and data teams to improve reporting efficiency through AI and automation while delivering tailored client experiences.

Provides technical and domain expertise during sales cycles for ServiceNow solutions. Leads discovery workshops, product demonstrations, customer technical discussions, competitive analysis, and solution positioning. Partners with sales, product management, marketing, channel partners, and professional services to build pipeline, achieve territory revenue goals, improve products, and support executive briefings and industry events.

Provides technical and domain expertise during enterprise sales cycles for ServiceNow solutions. Leads discovery workshops, product demonstrations, technical discussions, and solution positioning while supporting sales goals. Collaborates with sales, product management, marketing, partners, and professional services; provides product feedback, monitors competitive differentiation, develops reusable assets, and supports conferences and executive briefings.

Own enterprise account growth in Japan by building executive relationships, developing long-term account strategies, creating customer-focused plans, and proposing Zscaler cloud security solutions. Collaborate with Customer Success, Enablement, Architecture, and global teams to deliver digital transformation outcomes and achieve strategic sales goals.

Leads global process technology and innovation strategy for pharmaceutical manufacturing, overseeing roadmaps, innovation portfolios, technology industrialization, automation, digital and AI-enabled solutions. Partners across R&D, Manufacturing, Quality, Engineering, Supply Chain and Digital teams to deploy scalable technologies, improve performance and compliance, guide investments, build partnerships, and advise senior leadership.

Leads Takeda’s global PAT technology and innovation strategy across manufacturing. Owns the multi-year roadmap, innovation portfolio, technology standards, vendor partnerships, and deployment of analytical technologies, process models, automation, digital twins, and AI-enabled manufacturing solutions. Drives PAT industrialization from scouting through validated GMP implementation, including RTRT and advanced process control. Establishes data integrity, validation, regulatory, and lifecycle governance while delivering improvements in quality, yield, productivity, release time, and supply reliability. Develops organizational capability and coordinates cross-functional stakeholders across MSAT, manufacturing, quality, engineering, and digital technology.

Provides technical sales leadership for cloud security solutions across enterprise accounts. Advises sales teams, customers, and partners; integrates CrowdStrike technologies with AWS, GCP, Azure, Kubernetes, and OpenShift; develops reference architectures, enablement materials, and training; supports solution selling and technical problem resolution; communicates customer needs to engineering and presents cloud security expertise at conferences and marketing events.

Build and execute talent sourcing strategies for Japan, especially across engineering and customer-facing roles. Identify and nurture candidates, develop long-term talent pipelines, analyze market and hiring data, and provide recommendations that influence workforce planning. Partner with hiring managers and senior stakeholders on hiring strategies while maintaining recruiting compliance, privacy, documentation, and data stewardship standards. The role requires Japanese fluency, business-level English, data-driven recruiting expertise, and knowledge of Japan’s talent market.

Leads supplier engineering activities for semiconductor equipment parts, including technical requirement evaluation, cleaning solution development, supplier selection, technical audits, performance improvement, quality incident resolution, corrective actions, and cost planning. Partners with engineering and quality teams to improve product quality, delivery, cost, part life, and process capability. Provides supplier-site support, training, negotiation, and systemic problem resolution, with more than 50% domestic travel.

Drive enterprise sales and strategic account growth for cloud and AI solutions. Develop and execute account plans, build executive-level customer relationships, orchestrate virtual teams, identify business and transformation opportunities, and lead complex solution proposals through closing. Advise customers on digital transformation, position solutions against competitors, and coordinate internal specialists and partners to deliver business outcomes. The role also coaches solution sales teams and shares customer and industry insights across the organization.

Leads enterprise cybersecurity solution sales for Microsoft, identifying customer needs and proposing Microsoft 365 and Azure Security solutions. Manages territory planning, forecasting, pipeline development, opportunity qualification, deal closure, partner collaboration, and digital transformation engagements. Acts as a cybersecurity subject matter expert, develops executive relationships, supports workshops and events, analyzes competitors, and mentors team members while driving customer value and revenue growth.

Lead post-sales customer success for Microsoft cloud and AI transformation initiatives. Build executive relationships, understand business and IT goals, plan and prioritize support programs, coordinate internal resources, improve workload health and performance, communicate with stakeholders, and manage escalations involving significant technical blockers. The role supports one to five enterprise customers across multiple industries and requires project management, service delivery, stakeholder orchestration, strong communication, and business-level Japanese.

Leads Microsoft Japan’s finance rhythm across close, forecasting, planning, and performance reviews. Analyzes financial and operational data, evaluates risks and opportunities, develops executive narratives, and recommends actions. Partners with Finance, Sales, Go-to-Market, and regional teams to improve decision-making, standardize reporting, enhance process efficiency, and apply analytics and AI to Finance operations.

Lead Azure solution sales for government and defense-sector customers. Build CxO relationships, identify customer needs, create business opportunities, develop account and regional sales strategies, manage pipelines and forecasts, and coordinate internal teams and partners. Drive cloud migration, modernization, business application, intelligent data platform, AI, and cross-solution opportunities from proposal through implementation and operations while contributing to team leadership and collaboration.

Serves as a strategic technical advisor to global manufacturing customers, translating business objectives into Microsoft technology and digital transformation roadmaps. Builds executive relationships, provides industry and technology insights, orchestrates Microsoft and partner teams, and drives account planning, demand generation, solution adoption, and consumption growth. Leads technical envisioning, creates opportunities, addresses implementation blockers, supports customer enablement, and positions Microsoft cloud, AI, security, Zero Trust, and Industrial Metaverse solutions against customer and competitor alternatives.

Develop and lead technology strategies for telecommunications and enterprise customers. Build technology architectures and roadmaps, advise CIOs and CTOs, drive Microsoft Azure, AI, Microsoft 365, Dynamics 365, and Power Platform adoption, manage technology relationships, develop solution pipelines, and orchestrate Microsoft and partner teams to deliver digital transformation outcomes.

Serve as a presales technical advisor for customers and partners across Japan and Korea. Lead discovery, solution architecture, ROI/TCO modeling, PoV engagements, executive presentations, competitive differentiation, and value-based sales motions. Use Salesforce and AI-enabled workflows for account research, proposals, demos, prompt libraries, and telemetry analysis. Collaborate with sales and cross-functional teams to drive revenue, validate customer outcomes, and improve presales execution.

Leads HPE Networking sales growth across Japan’s central government and utility markets. Manages and coaches an enterprise sales team while personally driving strategic accounts, new opportunity creation, market expansion, large-deal leadership, pipeline development, forecasting, and deal closure. Partners with sales engineers, service teams, finance, and external partners to deliver network, security, AI, cloud, and modernization solutions.

Leads complex Private Cloud AI solution sales, develops long-term pipelines, expands strategic accounts, supports account managers, and drives prospecting, negotiation, and deal closure. Builds executive and customer relationships, develops business strategies and account plans, creates reference customers, engages partners, forecasts sales in Siebel, and positions integrated hardware, software, and services solutions. The role requires deep customer infrastructure, architecture, competitive, and consultative selling expertise.

Owns consultative sales for Microsoft AI adoption, cloud transformation, consulting, and support services. Responsibilities include identifying and closing strategic opportunities, managing renewals, negotiating contracts, forecasting sales, orchestrating account teams, developing account plans, engaging executives, and mitigating customer and deal risks. The role partners with account executives, solution specialists, customer success managers, partners, and delivery teams to drive services growth and customer value.

Talent pipeline for future global projects involving Google Cloud, cloud infrastructure, software development, data engineering, DevOps, cybersecurity, AI, and technical content. Applicants may qualify through professional experience, education, certifications, internships, bootcamps, or technical projects. This is not an immediate employment offer, and project details will be provided only if selected for a future opportunity.

Leads Azure cloud and AI solution sales for healthcare customers, including hospitals and healthcare ISV vendors. Builds CxO relationships, identifies customer needs, develops account and sales strategies, creates business pipelines, manages forecasts, and coordinates internal teams and partners. Drives cloud migration, application and data modernization, business application implementation, intelligent data platform proposals, and cross-solution opportunities involving Azure and Microsoft 365.

Develop and execute strategic business plans with Japanese system integration partners to accelerate enterprise AI and cloud adoption. Build senior stakeholder relationships, identify market opportunities, align Microsoft solutions with partner goals, and lead joint go-to-market, co-selling, pipeline, and consumption motions. Manage partner portfolios, investments, performance rhythms, escalations, and execution plans while ensuring security, privacy, and sustainable growth.

Leads complex enterprise solution engagements throughout sales cycles. Conducts discovery, develops solution hypotheses, designs architectures and integrations, delivers demonstrations and proofs of concept, and translates technical capabilities into business value. Partners with sales, product, engineering, customer success, and marketing teams while influencing senior stakeholders across Japanese and global organizations. The role also coaches colleagues and requires business-level Japanese and professional English, with travel within Japan.

Develop and execute strategies for the real-world adoption and international expansion of robot foundation models. Plan use-case, PoC, and partnership initiatives; lead cross-functional projects; manage stakeholders, budgets, timelines, risks, and teams; and brief executive leadership. The role requires experience with AI training data, LLMs, foundation models, datasets, or international AI system projects, plus technical understanding of robot learning and multimodal AI.