The Engineering Manager will lead engineering teams, improve development processes, and foster a modern AI-assisted engineering culture. They are responsible for cross-team coordination, hiring, performance management, and aligning engineering delivery with business stakeholder expectations.
Act as a bridge engineer connecting Japanese clients with the Vietnam development team to manage project requirements, progress, and quality. Facilitate communication, translate technical specifications, and resolve issues to ensure successful project delivery.
Develop and execute testing strategies, automated and exploratory tests, and risk-based regression plans to identify defects and ensure software meets requirements and release quality standards. Collaborate with engineering and product teams to improve test environments, apply AI-assisted testing practices, and continuously strengthen quality processes.
You will integrate security into the software development lifecycle by automating security checks in CI/CD pipelines and strengthening cloud infrastructure security. Additionally, you will collaborate with engineering teams to implement secure coding practices and manage vulnerabilities across the platform.
You will lead the technical direction and architectural decisions for a software development team while remaining actively involved in hands-on coding. Additionally, you will establish AI-assisted development workflows and ensure high engineering quality standards across the platform.
You will design, develop, and maintain web application features for a construction DX SaaS platform while taking ownership of the full development lifecycle. The role involves collaborating with product teams and leveraging AI-assisted tools to ensure high-quality, scalable software delivery.
You will research, develop, and implement advanced AI agents for enterprise customers, managing the entire lifecycle from PoC to production. This role involves collaborating with researchers and product managers to translate business challenges into technical AI solutions.
You will define and drive the product strategy for enterprise AI SaaS features while managing the development roadmap. This involves collaborating with cross-functional teams including engineers, designers, and researchers to translate customer challenges into high-value product initiatives.
The Data Governance Lead will design and drive company-wide data governance strategies, policies, and operating models to ensure data is effectively leveraged for business value. This role involves leading cross-functional initiatives to establish data ownership, improve data quality, and promote a data-driven culture across the organization.
You will design and operate the data management and annotation infrastructure to support the development of proprietary large-scale LLMs and VLM technologies. This includes building data pipelines, managing annotation workflows, and collaborating with AI researchers to improve model accuracy.
Lead enterprise Generative AI implementation projects from customer proposals and requirements definition to architecture design and production deployment. Collaborate with cross-functional teams to develop solutions utilizing LLMs, RAG, and AI agents while providing technical consulting.
Develop AI prototypes for specific customer use cases and implement generative AI features into SaaS products. Manage the full development lifecycle including model selection, RAG implementation, and fine-tuning using agile methodologies.
Develop and operate scalable AI-powered products and MLOps environments to transform the commercial real estate industry. Lead the entire product lifecycle from Proof of Concept and MVP development to full-scale commercial deployment.
Lead product improvement and business growth by analyzing user behavior, KPIs, and product data for a platform with 30 million monthly users. Responsibilities include the entire analysis lifecycle from hypothesis formulation and design to implementation and effect verification in collaboration with PdMs and engineers.
Lead the backend design, development, and operation of a large-scale service using Ruby on Rails for over 30 million monthly users. Collaborate with PdMs and designers to define essential business challenges and drive product value through technical implementation and AI integration.
Lead the design, construction, and operation of a large-scale data platform using GCP and BigQuery to support 30 million monthly users. Collaborate with data scientists and product managers to implement MLOps, data governance, and data-driven product growth.
Bridge business requirements with technical solutions by overseeing system architecture and selecting appropriate technology stacks. Act as a technical advisor to resolve complex challenges and mentor developers on best practices.
Lead the technical strategy for Generative AI and LLM implementation across the company, focusing on new product features and operational improvements. Collaborate with POs and PMs to design AI architectures and create new user experiences for a large-scale digital platform.
Lead the planning, value definition, and UX design of new products and features for one of Japan's largest digital services. Coordinate with engineers, designers, and business teams to drive both user experience and business growth through data-driven strategies.
Lead the growth of digital services by designing and improving the overall user experience from research to release. Collaborate closely with PdMs and engineers to build high-value experiences and maintain design systems.
Develop AI solutions including problem discovery, PoC development, and internal AI implementation. Responsible for planning AI utilization based on customer use cases and continuously evaluating and improving AI accuracy.
Design end-to-end services from both user experience and back-office perspectives to align business goals with user needs. Create service concepts, prototypes, and blueprints while conducting user research and testing to optimize service solutions.
Lead multiple engineering teams to scale a next-generation DX SaaS platform while fostering an AI-assisted engineering culture. Improve development processes, delivery quality, and organizational scalability through mentorship and cross-functional collaboration.
Manage strategic client relationships and drive business growth through the creation and proposal of DX and business transformation projects. Handle end-to-end deal processes including contract negotiation, financial management, and project execution support.
Lead the conceptual design, implementation roadmap, and project promotion of AI and DX solutions for clients. This includes architecture design for cloud platforms and coordinating between internal development teams and stakeholders.
Manage the development of AI systems for clients and internal solutions, focusing on planning, resource coordination, and stakeholder communication. Lead a global team of engineers and data scientists to implement Generative AI and RAG-based precision improvements.
Lead development teams as a Scrum Master to promote agile development and improve productivity and quality. Responsibilities include facilitating scrum events, supporting team self-organization, and collaborating with the Product Owner on backlog management.
Oversee 1-3 project teams to ensure smooth delivery, stakeholder alignment, and quality, cost, and delivery (QCD) management. Act as a bridge between C-level leadership, business units, and engineering teams to drive digital innovation.
Manage AI-related projects from initiation to completion, coordinating between internal teams and overseas partners. Responsibilities include defining actionable plans, monitoring progress, and mitigating risks to ensure high-quality deliverables.
The Product Owner is responsible for defining the product vision and roadmap while bridging communication between stakeholders and development teams. Key duties include managing the product backlog, prioritizing user stories, and overseeing the delivery of high-quality digital products.
