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A technology company is seeking a Customer Success Engineer to ensure effective adoption and implementation of their search and discovery platform. The role involves delivering technical workshops, consulting with customers on best practices, and providing ongoing support to enhance customer satisfaction. Ideal candidates should have a strong technical background, problem-solving skills, and the ability to communicate complex issues clearly. This position offers flexible working arrangements, including hybrid options.
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.
#LI-hybrid
Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high‑trust environment and many of our team members have the autonomy to choose where they want to work and when.
We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid‑remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location – depending on the role it may be available with either a hybrid‑remote or in‑office schedule.
We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.
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If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!
As your prospective employer, Algolia has outlined our policy on how candidates are permitted to use AI in our hiring processes. Knowing that the way we experience AI may evolve over time, we will regularly review our approach to AI to ensure alignment with current legislation and to protect against potential biases in our processes. Prior to engaging in the interview process, please review our current policy .