Jobs at DeepL

Build and improve DeepL’s API platform and developer experience through self-service onboarding, configuration flows, reusable platform components, documentation, SDKs, and starter templates. Collaborate across product and engineering teams, write tested production code, contribute to monitoring and alerting, and participate in incident response. The role emphasizes backend development, RESTful APIs, reliability, developer-centric design, and occasional full-stack work with React and TypeScript.

Provides end-to-end support to a global sales organization by managing Sales Operations requests, troubleshooting Salesforce opportunities and data issues, coordinating with Operations, Finance, and Salesforce Administration, and creating self-service documentation. The role supports sellers during peak quarter-end and year-end periods, identifies recurring issues, and helps maintain accurate sales and billing processes. It is a six-month fixed-term contract based in the UK with hybrid London office attendance.

Lead DeepL's market entry and growth in Austria: build sales processes, develop pipeline, own full enterprise sales cycles, represent product experts, collaborate cross-functionally, meet activity and revenue goals, and cultivate long-term client relationships.

Design, implement, and operate reliable, scalable platform services; handle on-call incidents and support requests; collaborate with product and engineering teams to meet SLAs/SLOs and improve systems and practices.

Lead product design for DeepL Translate, researching user needs, defining problems, creating and validating solutions, and delivering prototypes and specifications. Collaborate with product and engineering leaders, use qualitative and quantitative insights, make production code changes, and help maintain the design system. The role also contributes to company-wide design practices and supports scalable, trustworthy translation experiences for global B2B and B2C users.

Lead the Production Inference team of research scientists and ML engineers. Own people development, technical direction, research and development roadmaps, architecture decisions, and model-serving reliability, efficiency, latency, and cost performance. Partner with research, infrastructure, product, and commercial stakeholders; guide production deployment and lifecycle improvements; and recruit technical talent. The role emphasizes leadership and technical reviews rather than hands-on coding.

Leads complex enterprise customer engagements across the sales cycle, including discovery, solution design, demos, pilots, POCs, RFI/RFP processes, and objection handling. Partners with Account Executives, Product, Marketing, Legal, Information Security, and Customer Success. Builds prototypes and proof-of-value environments, communicates technical value to business and technical stakeholders, coaches junior consultants, improves processes, and provides product feedback.

Lead and develop a small senior full-stack engineering team building DeepL’s customization platform. Own terminology, glossaries, style rules, translation memory, administration, adoption, security, portability, and customer experience. Define product direction with product and design, partner with research teams on adaptive personalization, and coordinate with platform, identity, and go-to-market stakeholders. Prioritize customer needs, improve self-service administration, and translate usage insights into engineering priorities.

Own technical direction and initiatives across Developer Experience, improving developer productivity, software delivery workflows, CI/CD, internal platforms, AI-assisted tooling, security guardrails, and release automation. Build and operate scalable developer tooling, measure outcomes through surveys and delivery metrics, drive standards and migrations across teams, mentor engineers, build community, and participate in on-call support.

Lead complex enterprise sales opportunities in Japan by conducting discovery, demonstrations, solution design, pilots, and proofs of concept. Build prototypes and PoV environments, guide account strategy and technical differentiation, manage RFI/RFP processes, and engage executive stakeholders. Collaborate with sales, product, marketing, legal, security, and customer success. Coach junior consultants, improve team processes, and relay customer insights to product and engineering.

Leads technical solution consulting for enterprise customers across APJ, primarily Japan. Designs account and deal strategies, delivers customized demos, prototypes, POCs, and PoVs, and advises on APIs, SSO, streaming, security, and compliance. Builds reusable sales assets and processes, mentors consultants, supports complex enterprise negotiations, and feeds customer insights into product and engineering roadmaps.

Lead technical pre-sales engagements across APJ, especially with Japanese enterprise customers. Partner with Account Executives to shape complex opportunities, conduct technical discovery, and build tailored demos, prototypes, POCs, and proof-of-value environments. Advise customers on APIs, authentication, SSO, integrations, security, and compliance. Create reusable sales frameworks and assets, lead opportunity retrospectives, mentor Solutions Consultants, and provide customer insights to Product and Engineering.

Develop and execute go-to-market strategies for Germany’s state and municipal public-sector markets. Identify high-impact enterprise accounts, expand existing customers from departmental to organization-wide usage, develop scalable AI use cases, and secure executive sponsorship. Build relationships with senior public-sector decision-makers, establish reference customers, create repeatable market models, and develop a partner ecosystem for co-selling and broader market expansion.

Lead a small senior engineering team building DeepL’s real-time voice products for meetings. Own hiring, performance, career development, architecture, technical direction, and end-to-end feature delivery from design through production. Collaborate closely with product and applied science teams, balancing latency, model quality, reliability, and delivery timelines. Remain hands-on enough to evaluate code and architecture, manage technical risks, and foster a high-agency engineering culture.

Design, build, and operate DeepL’s Databricks-based lakehouse and ingestion infrastructure (Kafka, dlt). Enable AI-powered data workflows via connectors and integrations, implement data observability and quality frameworks, and steward infra-as-code, CI/CD, access, security, and governance to provide a reliable, scalable data platform.

Lead research and engineering to design, implement, and deploy reinforcement learning and post-training methods that align large (multi-modal) models with human intent. Build scalable RL pipelines, run reproducible experiments from prototype to production, collaborate with engineering, ML platform, and HPC teams, and foster academic and industrial partnerships.

Architect and build user-facing identity and access management features across account, session, SSO, SCIM, and OIDC systems. Own services from problem definition through deployment and production reliability, ensuring high availability, security, maintainability, and strong user experience. Lead incident response, on-call operations, system design, technical scoping, and cross-functional collaboration. Primarily develop scalable backend systems using C# and .NET, with optional frontend work in React and JavaScript.

Lead global communications with a US focus: own media relationships, write press releases and bylines, define messaging frameworks, shape executive thought leadership, manage reputation and crises, secure speaking opportunities, measure coverage and sentiment, and scale comms operations across product, policy, marketing, and leadership.

Customer-facing product evangelist for DeepL Voice: support sales teams, lead discovery/demos/pilots, create sales materials and messaging, gather customer feedback, enable GTM through training and thought leadership.

Own integrated, multi-channel campaigns targeting marketing, HR, and learning leaders. Develop persona-specific strategy, messaging, ABM programs, nurture streams, and localized campaign assets in partnership with Product Marketing, Sales, SDR, Field Marketing, Content, Creative, and RevOps. Track pipeline, engagement, conversion, and ROI metrics; use analytics, testing, competitive intelligence, and sales feedback to optimize campaign performance and represent campaign insights to leadership.