Sales Engineer

Responsible for supporting enterprise customers in evaluating and adopting AI-driven and RPA-based business automation solutions. As part of a presales consulting organization, partners with account executives and cross-functional teams to drive value-based selling, address technical challenges, recommend solutions, and support customers throughout the sales lifecycle.

Key Responsibilities

• Collaborates with account executives and technical specialists to drive value-selling initiatives within assigned industries.
• Develops account plans and engages directly with customers to identify business challenges and opportunities.
• Proposes AI, automation, and digital transformation solutions aligned with customer requirements.
• Delivers product demonstrations and proof-of-concept engagements to validate business value.
• Identifies, analyzes, and resolves technical issues throughout the sales cycle.
• Coordinates with partners and internal stakeholders during solution design, development, and proposal activities.
• Provides technical support through contract completion and ensures a smooth transition to post-sales teams.
• Takes ownership of achieving technical wins and driving technical challenges to resolution.
• Contributes to pipeline generation by identifying and developing new business opportunities.
• Plans and delivers customer seminars, workshops, and user community events.
• Creates technical assets, presentations, and promotional content to support sales activities.
• Designs and executes campaigns that accelerate pipeline growth and customer engagement.
• Provides technical guidance, reviews, and recommendations to internal stakeholders.
• Leads initiatives that combine analytical thinking with creative problem-solving to achieve successful outcomes.
• Represents technical expertise at industry events and external engagements.
• Supports market awareness and go-to-market initiatives through customer-facing activities.
• Collaborates across internal teams to deliver measurable customer value.

Required Qualifications

• Minimum 5 years of experience as an IT technical specialist with expertise in one or more technical domains.
• Knowledge of, experience with, or strong interest in AI technologies, including machine learning, deep learning, and large language models (LLMs).
• Strong communication and stakeholder management skills.
• Native Japanese + Business-level English proficiency.
• Experience working directly with customers, including technical proposal development and negotiations.
• Strong passion for helping organizations improve operational efficiency and address business challenges through automation and technology solutions.

Preferred Qualifications

• 5+ years of presales experience.
• Experience with RPA development, implementation, or operations.
• Background in strategy consulting, business consulting, solution design, or requirements definition.
• Programming experience in technologies such as Python, Java, JavaScript, C, or similar languages.
• Experience delivering software implementation or development projects.
• Experience working in global or international teams.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience implementing, developing, or supporting SAP solutions.

Ideal Candidate Profile

• Hands-on experience implementing, developing, or utilizing RPA and AI-enabled systems.
• Expertise in one or more technical disciplines, including software development, infrastructure, networking, databases, security, IT operations, or project management.
• Ability to identify customer business challenges and validate hypotheses through direct engagement.
• Strong problem-solving skills with the ability to translate business needs into technology solutions.
• Excellent documentation and presentation skills.
• Persistent and resourceful when addressing customer, product, and organizational challenges.
• Curious about emerging technologies and innovative software solutions.
• Effective collaborator with strong relationship-building skills across internal and external stakeholders.