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This role is ideal for someone who is deeply curious, loves solving complex technical problems, and is energised by learning and applying new technologies including modern development patterns, cloud infrastructure, and emerging AI capabilities. You’ll work across a variety of customer architectures and use cases, helping teams design performant, scalable solutions while championing technical excellence.
You will also support our Professional and Expert Foundation offerings, acting as a technical owner for assigned accounts and ensuring smooth delivery through clear communication, rigorous documentation, and thoughtful stakeholder alignment.
Success in this role means being proactive, reliable, and collaborative, balancing customer-facing delivery with internal best practices such as accurate time tracking, strong documentation habits, and ongoing knowledge sharing.
If you’re excited by the idea of shaping customer outcomes, diving into new tools and technologies, and working in a team that values craftsmanship, curiosity, and continuous learning, we’d love to meet you.






Mid-Level
Customer Success Engineer - German Speaker
Confirmed live in the last 24 hours
Algolia
Remote - Germany
Hybrid
Posted March 9, 2026
Job Description
At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.
In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.
As a Customer Success Engineer at Algolia, you will play a key role in ensuring our customers adopt, implement, and scale our search and discovery platform successfully. You’ll partner closely with customers to deliver high-quality technical onboarding, solution design, best-practice guidance, and hands-on implementation support.
This role is ideal for someone who is deeply curious, loves solving complex technical problems, and is energised by learning and applying new technologies including modern development patterns, cloud infrastructure, and emerging AI capabilities. You’ll work across a variety of customer architectures and use cases, helping teams design performant, scalable solutions while championing technical excellence.
You will also support our Professional and Expert Foundation offerings, acting as a technical owner for assigned accounts and ensuring smooth delivery through clear communication, rigorous documentation, and thoughtful stakeholder alignment.
Success in this role means being proactive, reliable, and collaborative, balancing customer-facing delivery with internal best practices such as accurate time tracking, strong documentation habits, and ongoing knowledge sharing.
If you’re excited by the idea of shaping customer outcomes, diving into new tools and technologies, and working in a team that values craftsmanship, curiosity, and continuous learning, we’d love to meet you.
YOUR ROLE WILL CONSIST OF
- Act as a consultant on a variety of customers, delivering ad-hoc services tailored around their needs
- Scope, shape and present technical workshops to drive Algolia’s adoption
- Advise Algolia’s customers on the best technical and industry practices around search implementation and optimisation
- Work closely with your account’s Customer Success Manager to ensure the customer’s long term health through a world-class support experience.
- Work across the organisation and escalate as necessary for confirmation of solutions or other options.
- Partner with Product Teams and Engineering to develop subject matter expertise and serve as a product expert to your customers.
- Develop, maintain and present comprehensive case status reports to customers on a regularly scheduled meeting.
- Proactively identify and work with the customer to resolve technical risks and bottlenecks.
- Provide guidance on how to optimise the use of their environment.
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