Jobs at DeepL

Build end-to-end features for DeepL Voice across frontend and backend, focusing on real-time streaming, low-latency audio, transcript stability, and AI inference integration. Prototype and scale features in a 0-to-1 environment while collaborating closely with PMs, designers, and researchers to solve product and technical challenges.

Lead and own end-to-end development of revenue-critical full-stack systems: define problems, design architectures, make pragmatic trade-offs, deploy and ensure production reliability, and translate technical constraints into business impact. Work across backend, frontend, and infra, mentoring teams and using AI-assisted tools to accelerate delivery.

Join the API Core team to design and build developer-facing APIs and platform components. Implement self-service onboarding, SDKs, and dashboards; write production-ready, well-tested backend code; improve monitoring, reliability, and developer experience. Collaborate across product and engineering teams to deliver consistent, high-quality API products.

Design and implement enterprise-grade full‑stack features for DeepL's Enterprise platform, owning everything from React admin UIs to C#/.NET billing logic. Architect secure identity (SSO/SCIM/SAML), subscription and provisioning flows, ensure idempotent distributed transactions, and collaborate with Sales, Product, and Finance to deliver reliable, auditable revenue systems.

Build and own end-to-end full‑stack features: implement, test, deploy, and maintain production code. Collaborate in pair programming and code reviews, use modern tooling (including AI-assisted tools), and prioritize product-focused solutions with clean, maintainable implementation.

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.

Serve as a technical advisor for enterprise customers implementing DeepL: translate business needs into technical solutions, troubleshoot integrations, configure authentication, support deployments, enable customer teams with tools and collateral, and feed product requirements back to product teams to drive customer satisfaction and scalable implementations.

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.

As a Renewal Success Manager, you will oversee the renewal process, manage complex customer engagements, design pricing models, and ensure alignment with the customer journey throughout their lifecycle.

Lead design and delivery of developer-facing APIs and platform tooling: improve onboarding and DevEx, build SDKs and docs, enforce contract testing and automated quality gates, partner cross-functionally to ensure secure, scalable API platform operations and SLO-driven production reliability.

As an Enterprise Account Executive at DeepL, you'll drive growth across APAC, manage new business sales cycles, and expand existing accounts by building relationships with enterprise clients, while ensuring effective collaboration across teams.

Lead developer-focused growth for DeepL's headless surfaces (MCP, CLI). Drive discoverability, instrument activation funnel to paid usage, create production-quality developer artifacts and content, build ecosystem presence, and feed actionable developer insights into product and engineering.

Drive strategic outbound SaaS sales in Italy from a London base: build pipeline via targeted outreach, qualify and demo solutions, close deals, manage CRM forecasting, pursue upsell, and collaborate with SDR, Marketing, and Product teams to meet revenue targets.

Lead and scale a technical support engineering function for a B2B SaaS product. Define strategy, grow specialist talent, modernize support workflows with automation and AI, partner with Engineering/Product/GTM, measure technical effectiveness, drive product improvements, and guide teams through growth and change.

Lead the architecture and scaling of a hyper-scalable API platform and microservices, enable enterprise integrations (AWS Marketplace, SaaS), deliver trust features (granular billing, data residency, auditability), establish platform standards and self-service tooling, and drive engineering velocity and cross-team technical strategy.

Lead design, implementation, deployment, and operation of identity services (SSO, OIDC, SCIM, sessions). Mentor engineers, own reliability and performance, respond to incidents, set technical direction, and evolve the identity platform for scale and availability.

Lead research and engineering for multimodal and vision document-translation models. Own post-training, fine-tuning, RL-based optimization, evaluator models, and full model lifecycle from prototype to production. Build data and evaluation pipelines, mitigate reward hacking, and collaborate with engineering to deploy scalable, real-time systems.

Lead delivery for the Acceleration team that builds internal platforms and automation for commercial operations. Hire and develop engineers, set roadmaps with Product and stakeholders, maintain system reliability and data integrity, make architectural trade-offs, drive cross-functional alignment, and represent delivery health to senior leadership.