Job Overview
Location
Tokyo
Job Type
Full-time
Category
Software Engineering
Date Posted
June 2, 2026
Full Job Description
📋 Description
- • Serve as the primary Enterprise Account Executive responsible for driving rapid growth of DeepL’s enterprise customer base across the APAC region, with a focus on Taiwan, Hong Kong, Singapore, and India.
- • Lead the full sales cycle from lead qualification and prospecting to closing deals and expanding existing accounts through upselling and cross-selling opportunities.
- • Act as a trusted advisor to enterprise clients by understanding their language and communication challenges and positioning DeepL’s AI-powered translation and writing solutions as strategic business tools.
- • Build and maintain a robust pipeline of new enterprise business by identifying, engaging, and converting high-value prospects across APAC markets.
- • Conduct executive-level meetings with C-suite and senior decision-makers, including in-person engagements and regional travel across APAC to foster relationships and close deals.
- • Collaborate closely with regional partners and channel businesses to co-develop pipeline and accelerate revenue generation across the APAC territory.
- • Utilize Salesforce to accurately forecast, track, and report on all sales opportunities, including use cases, purchase timelines, and next steps, ensuring data integrity and reliable revenue projections.
- • Meet and exceed monthly activity, pipeline, and revenue targets while maintaining a disciplined focus on performance metrics and sales KPIs.
- • Stay informed on industry trends, competitive dynamics, and emerging technology adoption patterns within enterprise markets in APAC to inform sales strategy and client conversations.
- • Work in close alignment with cross-functional teams including SDRs, Marketing, Customer Success, and Product to ensure seamless customer experiences and effective go-to-market execution.
- • Represent DeepL as a product ambassador by demonstrating deep knowledge of the Language AI platform, its capabilities, and its impact on global business communication.
- • Deliver clear, persuasive presentations and demos tailored to enterprise stakeholders, translating technical features into tangible business value.
- • Adapt quickly to evolving priorities in a fast-paced, high-growth startup environment, maintaining agility and resilience under dynamic market conditions.
- • Contribute to a collaborative, globally distributed team culture by supporting colleagues, sharing insights, and participating in team-wide initiatives.
🎯 Requirements
- • 5+ years of sales experience, ideally in software or SaaS sales
- • Proven track record of selling into and expanding large enterprise accounts
- • Experience selling emerging technologies and acquiring new logos
- • Full fluency in English
- • Ability to collaborate with and orchestrate cross-functional teams
- • Strong ability to thrive in a fast-paced, dynamic startup environment
🏖️ Benefits
- • Virtual Shares: Equity-like compensation linking employee contribution to DeepL’s growth
- • Hybrid work model with two office days per week and flexible working hours
- • 20 days of annual leave (excluding public holidays) plus access to mental health resources
- • Regular in-person team events, including local gatherings, onboarding celebrations, and company-wide gatherings
- • Monthly Hack Fridays: full-day sessions to pursue passion projects and collaborate across teams
- • Competitive, locally tailored benefits package designed for global employees
Skills & Technologies
About DeepL SE
DeepL SE develops and operates neural machine translation technology. Founded in 2017 as Linguee GmbH, the Cologne-based company rebranded in 2019 after creating DeepL Translator, a service noted for outperforming Google Translate in blind tests. The platform supports 33 languages and offers browser, desktop, mobile and API access, serving individuals, businesses, and developers worldwide. Revenue comes from tiered subscription plans for pro features and volume-based API usage. DeepL continues to invest in AI research to maintain translation quality and expand language coverage.
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