Field Sales
Key Solutions
Picking Assist Robot (PA-AMR)
Doubles picking productivity; holds approx. 70% market share in Japan.
Good Design Award winner.Automated Storage & Retrieval System (ASRS)
Achieves up to 10x productivity improvement and up to 2.5x storage efficiency.
Good Design Gold Award winner.Automated Forklift (AFL)
Automates pallet transport with high-precision self-localization.
Easily deployable in existing warehouses; supports unmanned night operations.
Role Overview
The Field Sales team works with logistics companies (3PLs, shippers) and e-commerce fulfillment operators to improve KPIs such as productivity, walking distance, and labor cost risks using cloud robotics.
This position owns the entire sales cycle end-to-end:
Opportunity creation
Proposal and contract acquisition
Project planning and implementation
Ensuring stable operations
Expansion and upsell proposals
Beyond traditional sales, this role requires the mindset of a logistics consultant who understands cutting-edge robotics technologies and designs new workplaces where humans and robots work collaboratively.
Responsibilities
1. Lead Sales Activities for Enterprise Clients
Deeply understand on-site challenges (volume, workforce, bottlenecks).
Conduct data analysis to identify areas for improvement.
Run high-precision simulations to propose optimal robot quantities, expected productivity improvements (e.g., 2× improvement with PA-AMR), and ROI.
Support customer investment decisions using the flexibility of cloud-based solutions and the cost advantages of the subscription (RaaS) model.
2. Drive Implementation Projects
Develop project plans (team structure, schedules, KPIs, safety plans).
Manage project progress and coordination across internal teams.
Support WMS go-live and on-site ramp-up.
3. Post-Implementation Customer Success
Conduct regular reviews with customers in collaboration with the Customer Success team.
Use operational data (productivity, AMR wait times, etc.) to propose continuous improvements.
Suggest flexible robot fleet scaling for peak and off-peak seasons and promote deployment to additional sites.
4. Data-Driven Sales Strategy
Use CRM to manage leads/pipelines, evaluate deal probability, and review forecasts.
Perform win/loss analysis and develop scalable, repeatable best practices.
Contribute to improving overall sales productivity across the organization.
Requirements (Must-Have)
3+ years of B2B sales experience
Experience with enterprise-level new business development and long-term relationship building
Strong communication skills in Japanese
Understanding of Japanese business customs