DeepL

About the Company

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals around the world to make sense of the world and express their ideas.

Join us in exploring the possibilities of Language AI!

Listed Jobs

Company Name

DeepL

Job Title

Software Engineer | Language Products | Full-Stack

Job Description

**Job Title:** Software Engineer – Language Products (Full‑Stack) **Role Summary:** Develop and ship full‑stack features for DeepL’s real‑time voice translation products (Voice for Meetings, Voice for Conversations). Build responsive UI components, integrate high‑performance streaming APIs, and ensure millisecond‑level latency while collaborating in a fast‑paced, AI‑driven environment. **Expectations:** - Rapid learning and problem‑solving on novel AI and real‑time communication challenges. - Full‑stack adaptability across frontend (React/TypeScript) and backend (C# or Python). - Strong user empathy to deliver robust, intuitive experiences in high‑pressure contexts. - Bias for action: prototype quickly, iterate based on feedback. - Leverage AI‑assisted development tools to accelerate coding and testing. **Key Responsibilities:** - Design, implement, and refine user‑facing features for web and mobile applications. - Connect frontend clients to DeepL Voice APIs using WebSockets/gRPC, handling connection stability on unreliable networks. - Profile and optimize React components and backend audio‑processing services for real‑time performance. - Participate in code reviews, pair programming, and knowledge‑sharing sessions. - Collaborate with senior engineers and researchers to integrate cutting‑edge Text‑to‑Speech and LLM models. - Employ AI tools for boilerplate generation, test creation, and debugging. **Required Skills:** - Proficient in React and TypeScript; solid experience with C# or Python backend development. - Hands‑on experience with real‑time streaming protocols (WebRTC, WebSockets, gRPC). - Ability to profile, benchmark, and tune latency‑critical applications. - Familiarity with AI integration concepts (LLMs, TTS) and AI‑assisted development tools (e.g., GitHub Copilot, Claude). - Strong problem‑solving mindset, code quality focus, and effective communication. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - No specific certifications required; demonstrable expertise in the above skill set is essential.

London, United kingdom

On site

17-02-2026

Company Name

DeepL

Job Title

Technical Enablement Manager

Job Description

**Job Title:** Technical Enablement Manager **Role Summary:** Design, build, and scale enablement programs for DeepL’s technical go‑to‑market teams—including Solutions Consultants, Customer Success Managers, Customer Support, and Professional Services Consultants—to accelerate product adoption, customer satisfaction, and revenue growth. **Expectations:** - 7–10 years of enablement experience in a SaaS, B2B environment. - Proven track record building programs from inception to scale across multiple regions. - Strong technical acumen, ability to translate product features into customer value. - Comfortable collaborating with cross‑functional stakeholders (Sales, Knowledge Management, Support). - Capacity to thrive in fast‑paced, high‑impact settings. **Key Responsibilities:** 1. **Enablement Program Development** - Design onboarding curricula for each technical role. - Create comprehensive enablement programs (product knowledge, consultative selling, ROI articulation, troubleshooting, expansion identification). - Build role‑based certification paths. 2. **Content Development & Delivery** - Produce instructor‑led, self‑paced, workshop, and hands‑on lab experiences. - Develop playbooks, job aids, quick reference guides. - Leverage Sana LMS to maintain up‑to‑date resources. 3. **Tool Enablement** - Ensure teams master Salesforce, Salesloft, prospecting tools, and other platform integrations. 4. **Process Enablement** - Standardize new‑customer kick‑off, onboarding, go‑live, incident management, QBR, renewal, and VoC feedback workflows. 5. **Performance Measurement & Optimization** - Track engagement, completion rates, and enablement effectiveness. - Deliver executive‑level reporting on program impact. - Continuously refine curricula based on data insights. **Required Skills:** - Program & curriculum design, instructional design. - Technical product knowledge (AI, SaaS, language platforms). - Sales & customer success basics (value selling, storytelling, ROI). - LMS administration (Sana or equivalent). - Data analysis, reporting, and performance metrics. - Cross‑functional stakeholder management. - Strong communication, facilitation, and coaching abilities. **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, Computer Science, or related field. - Certifications such as Certified Sales Enablement Professional (CSEP), PMP, or relevant SaaS enablement credentials are a plus.

London, United kingdom

Hybrid

Senior

07-03-2026

Company Name

DeepL

Job Title

Research Scientist

Job Description

Job Title: Research Scientist Role Summary: Lead the design, research, and deployment of cutting‑edge AI models across Language, Foundation Model, and Voice domains. Own the full lifecycle of research projects — from theoretical development and prototyping to large‑scale training, ablation, and production integration. Expectations: - Deliver innovative solutions that transition from academic research to high‑impact products. - Publish findings in peer‑reviewed venues and maintain scientific rigor. - Collaborate closely with platform, HPC, and DevOps teams to operationalize research at global scale. - Participate in on‑call rotations to uphold service reliability. Key Responsibilities: - Design and implement state‑of‑the‑art neural architectures for translation, model alignment (RLHF/RLAIF), or real‑time voice processing. - Train and benchmark models on large GPU clusters, optimizing for latency and throughput. - Conduct ablation studies, iterate on model performance, and document reproducibility. - Interface with ML platform, HPC, and DevOps engineers to integrate research into production pipelines. - Lead research initiatives that deepen understanding of neural networks and align with industry safety/ethics standards. Required Skills: - Strong mathematical foundation in probability, statistics, or linear algebra. - Proficiency in Python and at least one deep‑learning framework (PyTorch, JAX, TensorFlow). - Experience with large‑scale distributed training and performance tuning. - Familiarity with RLHF/RLAIF or similar model alignment techniques. - Ability to translate research insights into production‑ready code and documentation. Required Education & Certifications: - PhD or Master’s degree (or equivalent industry experience) in Computer Science, Mathematics, Physics, or a closely related field. - Demonstrated research track record with publications or substantial independent project experience.

London, United kingdom

Hybrid

05-03-2026

Company Name

DeepL

Job Title

Head of Security

Job Description

**Job Title** Head of Security **Role Summary** Strategic leader responsible for defining and executing the organization’s information and IT security strategy, ensuring confidentiality, integrity, and availability of data, and aligning security initiatives with business objectives and regulatory requirements. **Expectations** - Provide executive security leadership and board‑level reporting. - Build and scale security teams in line with company growth. - Drive a strong security culture across all functions. - Maintain compliance for global standards and support high‑stakes customer engagements. **Key Responsibilities** - Own and continuously improve the enterprise security framework (infrastructure, application, organizational, and data governance). - Lead compliance programs (SOC 2, ISO 27001, BSI C5, GDPR) and manage risk assessments, third‑party risk, and internal audits. - Oversee security architecture for cloud, on‑premises, SaaS, and endpoint environments; ensure proactive threat monitoring, vulnerability management, hardening, and incident response. - Embed security‑by‑design into product development and infrastructure engineering processes. - Partner with Infrastructure, Product, Legal, Sales, People, and other leaders to integrate security into all business processes. - Conduct security awareness training and communicate metrics and incidents transparently. - Represent the company in customer, partner, auditor, and regulator security discussions; support sales in enterprise deals. **Required Skills** - 5+ years of progressive experience in information security, including senior leadership (Head of Security, CISO, or equivalent). - Proven track record building and scaling security teams in SaaS/AI or technology environments. - Deep technical expertise in network, cloud, endpoint, identity management, and incident response. - Strong knowledge of international and EU compliance frameworks (ISO 27001, GDPR, SOC 2, BSI C5). - Experience with IPO readiness, SOX compliance, and board‑level reporting. - Strategic mindset combined with hands‑on execution ability. - Excellent communication and stakeholder‑management skills; ability to translate technical concepts for business audiences. - Fluency in English (German proficiency preferred). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Security, or a related field (or equivalent practical experience). - Relevant security certifications such as CISSP, CISM, CISA, ISO 27001 Lead Implementer, or comparable credentials.

London, United kingdom

Hybrid

Mid level

13-03-2026