Developer Growth, API & Agentic AI Products

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation.
Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.

Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.

What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.

When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.

What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog.

The DeepL API team is helping shape one of the company's most important strategic priorities: making DeepL the translation layer inside the tools people already use and the products developers build.

As AI assistants like Microsoft Copilot, Claude, and ChatGPT become embedded in everyday workflows, the question is no longer "How good is your translation?" but "Do you have an MCP?" We're building DeepL's presence across MCPs, CLIs, agent skills, prompt libraries, and marketplace integrations to ensure developers reach for DeepL first when building agentic workflows.

As part of the API Product Marketing team, you'll work at the intersection of Marketing, Product, and Engineering, partnering closely with API Product Managers and Engineering leaders to help define a rapidly evolving category. This is not a traditional DevRel team—we're focused on driving adoption, shaping ecosystem strategy, and helping DeepL become the default translation layer for the next generation of AI-powered products.

Engineering owns the DeepL MCP server and CLI. You own the reach of both.

• Partner with Engineering, Design, and Product to ensure DeepL's MCP and CLI fit naturally into how developers build, ship, and integrate agentic workflows

• Drive MCP discoverability across the Claude ecosystem, ChatGPT, Microsoft Copilot, and emerging agent marketplaces

• Drive CLI adoption through package registries (npm, pip, Homebrew), GitHub visibility, developer toolchains, CI/CD examples, and starter kits

• Work with the Partner team to incorporate MCP and CLI surfaces into hyperscaler marketplaces and co-sell motions

• Monitor the agentic tooling and developer ecosystem, identify emerging distribution opportunities, and bring ecosystem intelligence back to Product and Engineering

The strategy bets on usage-led growth through MCP and CLI adoption. You own the funnel from install to paid usage.

• Instrument the activation funnel end-to-end, from MCP install or CLI OAuth through first successful translation and first paid character

• Shape the free-tier strategy, onboarding experience, and adoption patterns that optimise conversion

• Identify and remove the highest-friction step in the funnel, bringing structural issues back to Product and Engineering with evidence

• Report on the headless funnel as a leading indicator of ecosystem growth and adoption

The distribution work that compounds fastest is the repository someone forks, the starter kit they adopt, or the implementation example their coding assistant surfaces.

• Create prompt libraries, agent templates, implementation examples, and integration guides that make DeepL the obvious choice for agentic builders

• Develop workflow documentation showing how DeepL's glossary, style, and customisation capabilities combine with agentic patterns in ways native LLM translation cannot replicate

• Build code samples and reference integrations that demonstrate production-quality usage, not toy demos

• Identify capabilities and opportunities that could unlock additional value for developers

The scarce skill in developer content is not explaining what an API does—it is showing how thoughtful practitioners actually use it.

• Create content that demonstrates where developers verify output, when they trust it, and how they combine DeepL with agentic workflows to achieve results native LLM translation cannot reproduce

• Show what production-grade implementations look like versus integrations that fail under real-world conditions

• Write, record, and publish content across GitHub, Discord, LinkedIn, developer newsletters, and other relevant channels

• Structure technical content so it is discoverable by both developers and AI coding assistants

Developers discover tools through communities, practitioner content, and increasingly through AI assistants.

• Participate meaningfully in the communities where agentic developers work as a credible practitioner

• Amplify developers already building with DeepL through showcases, workflow breakdowns, and collaborative content

• Build relationships with creator-developers and ecosystem voices whose audiences overlap with DeepL's target builder cohorts

• Strengthen DeepL's presence and trust across the surfaces where developers discover and evaluate tools

Sit at the boundary between the agentic developer ecosystem and DeepL's Product and Engineering teams.

• Gather signal from MCP communities, GitHub discussions, AI ecosystems, and developer feedback

• Identify emerging integration patterns, ecosystem needs, and gaps in DeepL's current API surface

• Understand where DeepL wins and loses against native LLM translation workflows and why

• Translate ecosystem insights into actionable input for the product roadmap

• Significant hands-on experience building with AI agents, copilots, developer tools, or related ecosystems

• Experience creating technical content that developers actively use and trust

• Strong understanding of developer workflows, APIs, integrations, and automation

• Ability to work cross-functionally with Product, Engineering, Marketing, and Partnerships teams

• Demonstrated ability to identify ecosystem trends and translate insights into action

• Excellent written and verbal communication skills

• Experience creating code samples, technical documentation, or developer-facing resources

• Experience with MCP, Copilot plugins, Claude tools, ChatGPT integrations, or similar ecosystems

• Familiarity with localization, translation technology, or language AI solutions

• Existing presence within developer communities or technical creator networks

• Experience optimizing technical content for AI-assisted discovery and retrieval

• Background in developer advocacy, developer marketing, product marketing, or developer-facing roles at API, infrastructure, or SaaS companies

You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.