
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…

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…
Founded: 2017 in Cologne, Germany
Core product: Language AI (DeepL Translator, DeepL Write, voice translation)
Latest major raise: $300M led by Index Ventures (May 2024)
Reported valuation: $2.0B post-money (May 2024)
Customers: Over 100,000 businesses
Machine translation, automated writing assistance, and real-time multilingual communication for enterprises and individuals.
2017
Software Development
$300,000,000
Reported post-money valuation ~$2.0B
“Raised a $300M growth round led by Index Ventures with reported participation from institutional investors; earlier-stage support from notable VCs has been referenced.”
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Meet DeepL 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 over 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 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.
What will you be doing at DeepL? DeepL is scaling its go-to-market operations and evolving Salesforce into a highly reliable, AI-enabled platform that supports global revenue teams.
This is not a Business Analyst role, this is a hands-on platform role where you are expected to:
You will work across core GTM workflows (Lead → Opportunity → Q2C → Renewals), ensuring Salesforce is consistent, trusted, and scalable. You will also be expected to actively use tools like ChatGPT and Claude Code to:
If your current role does not involve building in Salesforce or using AI tools regularly, this is not the right position. This is a senior individual contributor role focused on platform optimisation through hands-on delivery.
You Will
You are expected to think in systems, not tickets.
Your Responsibilities
Qualities we look for Core Requirements
What differentiates you (this is what we actually hire on)
Nice to Have
We are an equal opportunity employer 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.
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Platform Optimisation (Build, don’t just analyse)
Identify inefficiencies, inconsistencies, and data issues across GTM processes
Design and implement improvements using Salesforce declarative tools (Flows, validation rules, layouts, reporting)
Reduce manual work and standardise behaviour across the platform
Own delivery from idea → design → build → adoption
AI-Enabled Platform Delivery (Non-Negotiable)
Use AI tools to:
Analyse requirements and propose structured solutions
Generate and refine Flow logic, validation approaches, and reporting structures
Identify edge cases and data risks early
Accelerate documentation and stakeholder communication
Clearly demonstrate how AI improves:
Speed
Quality
Decision making
Declarative Solution Design
Design scalable, maintainable solutions using Salesforce best practices
Make deliberate trade-offs (e.g. when declarative is sufficient vs when to involve engineering)
Ensure automation is predictable, observable, and does not introduce hidden complexity
Align with platform standards and long-term maintainability
Data Quality & Governance
Own and improve data quality across key GTM objects
Define and enforce data standards (validation, required fields, controlled processes)
Identify root causes of data issues and fix them systematically
Ensure reporting is consistent and trusted across the business
Requirements & Delivery Discipline
Translate business needs into clear, structured, build-ready solutions
Challenge vague or low-quality requests
Act as a quality gate for incoming work
Maintain lightweight but effective documentation
Adoption & Enablement
Ensure solutions are usable and adopted
Provide clear, practical guidance to end users
Use data and feedback to continuously improve the platform
You build, not just analyse
You are comfortable owning delivery end-to-end
You don’t hand off everything to engineers
You take responsibility for outcomes
AI-Native Mindset
You actively use tools like ChatGPT or Claude Code in your daily work
You can clearly explain:
How AI helps you work faster and better
Where it adds value vs where it doesn’t
You use AI to improve both thinking and execution, not just documentation
Structured thinking & communication
You can break down messy problems into clear solutions
You communicate simply and directly
You challenge requirements when needed