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Customer Success Manager - Scale

Job Overview

Location

Austin

Job Type

Full-time

Category

Customer Success Manager

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • As a Customer Success Manager at DeepL, you will play a pivotal role in building long-term relationships with customers, ensuring they achieve their desired outcomes through effective product adoption and strategic guidance, directly contributing to customer retention and advocacy.
  • • Your day-to-day responsibilities include conducting business reviews, supporting onboarding, driving product adoption, collaborating with Account Executives on upsell/cross-sell opportunities, educating customers on API usage, advocating for customer needs across internal teams, troubleshooting inquiries, mitigating renewal risks, and working cross-functionally to improve processes and product effectiveness in a hybrid work environment.
  • • You will join DeepL’s growing Austin team, part of a global AI leader trusted by over 200,000 business customers and millions of individuals worldwide, where innovation, curiosity, and a growth mindset are core to the culture and mission of breaking down language barriers through intelligent AI technology.
  • • In this role, you will develop deep expertise in DeepL’s Language AI platform, particularly API integrations, sharpen your strategic account management skills, and grow as a trusted advisor who influences both customer success and internal product evolution through feedback and collaboration.

Skills & Technologies

Hybrid

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About DeepL SE

DeepL SE develops and operates neural machine translation technology. Founded in 2017 as Linguee GmbH, the Cologne-based company rebranded in 2019 after creating DeepL Translator, a service noted for outperforming Google Translate in blind tests. The platform supports 33 languages and offers browser, desktop, mobile and API access, serving individuals, businesses, and developers worldwide. Revenue comes from tiered subscription plans for pro features and volume-based API usage. DeepL continues to invest in AI research to maintain translation quality and expand language coverage.

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