Top Tech Jobs & Startup Jobs in Japan

The Senior Application Engineer provides technical services, application support, customer training, and ensures effective communication between customers and engineering teams.

The Data Engineer will analyze large datasets for ADAS/AD software, manage data collection, validate AI performance, and support cross-department collaboration. The role requires experience in ADAS systems and AI solutions.

The Senior Systems Engineer will deliver technical leadership in sales cycles, architect and deploy networking solutions, and act as a technical bridge between customers and support.

The Sales Account Manager will implement sales strategies, achieve sales goals, and collaborate with teams to expand GenScript's market presence.

Manage and grow assigned accounts by selling AspenTech software and services. Develop strategic account plans, identify white space, respond to RFPs, forecast deals, coordinate cross-functional teams, and achieve aggressive sales quotas while traveling to customer sites.

Drive B2B sales in Japan: prospect, qualify, present Letshares digital and software solutions, manage full sales cycle, build client relationships and partnerships, track pipeline, collaborate with internal teams, and meet sales targets in a commission-based role.

KKR invites interested candidates to share their background and resume for potential future roles within the firm.

Support partners across Japan to plan and execute B2B IT partner marketing campaigns and events. Build relationships with partners, distributors and internal teams, develop marketing briefs, manage logistics, track leads and ROI, enable partner training, and resolve issues while ensuring campaign alignment and reporting.

As a Forward Deployed Engineer, you'll develop solutions integrating AI with customer workflows, build data insights, and guide technical adoption in client environments.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.