Engineering Manager

This Engineering Manager will lead the DealOn development team and be accountable for delivering functions that provide customer value and support product growth. The role combines people leadership with hands-on engineering, including using AI coding agents for design, implementation, and code review. Task, progress, and assignment management may be delegated to AI or other tools so that human effort can focus on decisions and coordination.

The manager will work with product managers, UX designers, and technical leads across specialties to assess product direction and feasibility. Responsibilities include discussing technical issues with engineers and promoting their resolution; balancing feature development, technical-debt reduction, and technical investment; creating and driving the development roadmap; operating a team around AI-driven development; and creating an environment where members can focus on development. The role also includes developing team members through on-the-job training, one-to-ones, and retrospectives, as well as supporting evaluation and hiring when needed.

DealOn is a new AI product for sales operations. Its MVP was released in April 2026, and the product is being expanded toward AI that collects data, provides insights, designs next actions, and executes sales work. It includes an AI sales manager focused on judgment and an AI sales assistant focused on execution. The stated development priorities are improving the accuracy of sales judgments and action recommendations through LLM design, an evaluation foundation, and incorporation of domain knowledge; expanding AI coverage beyond email creation, scheduling, and CRM entry to the wider sales process; and strengthening integrations with CRM, SFA, and communication tools.

The role will help establish the engineering organization during the post-MVP expansion phase, including team structure, recruitment, onboarding, development processes, code review, design practices, quality and speed trade-offs, and approaches to technical debt. It also involves using AI coding agents for hypothesis testing and improvement while balancing technical goals with business value. The development environment and tools for this new business will be decided with the people who join. The supplied posting does not specify education or years of experience. The work location is Shibuya, Tokyo, and full remote work is not available.