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Join Algolia as a Customer Success Engineer to empower businesses with AI Search and deliver high-quality technical onboarding and support.
Posted by employer 4 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 1 week ago
Skills & Technologies
AI in the day-to-day
null
Requirements
- Experience
- 4+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Customer Success Engineer at Algolia, the individual will focus on guiding customers through the adoption and implementation of the company's advanced search platform, ensuring they achieve optimal performance. Key skills include a solid understanding of programming languages, REST APIs, and web development, alongside experience in delivering technical workshops. This position is well-suited for someone with over four years in a customer-facing technical role, particularly in the SaaS sector, who thrives on problem-solving and continuous learning. Algolia's emphasis on craftsmanship and collaboration highlights its commitment to customer success and innovation.
Joblaze insights
- Listed about 4 months ago — first seen on Joblaze June 11, 2026. Last confirmed on Algolia's careers page October 22, 2026.
- Starts above 25% of 1586 comparable mid other roles we track (median $105,000 across 205 companies).
Quick facts
- Is the Customer Success Engineer role remote?
- It's hybrid — Algolia expects some on-site time in Remote - Australia.
- What's the salary range?
- Algolia lists AUD 130,500–AUD 163,000 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Customer Success Engineer role.
- Where is the role based?
- Algolia is hiring for this position in Remote - Australia.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C#, Java, JavaScript, Objective-C, PHP, Python.
- What seniority level is this role?
- Algolia targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Customer Success Engineer role at Algolia.
From the original posting
As a Customer Success Engineer at Algolia, you will play a key role in ensuring our customers adopt, implement, and scale our agentic, generative, search & 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 energized 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 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 optimization
- 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.
YOU MIGHT BE A FIT IF YOU HAVE
- 4+ years experience in a customer-facing technical role (CSE, SE, SA, consultant), ideally in the SaaS space
- Functional knowledge of at least one programming language such as: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python
- Experience with REST API, database management, and web development technologies
- Experience delivering technical workshops of various nature (training, knowledge transfer, implementation, code review)
- A lifelong learning and growth mindset
- Strong desire to help people solve problems with the ability to explain complex technical concepts to a broad audience
- Proficiency in communicating complex technical issues to both technical and non-technical audiences via phone and email channels
- Excellence in time management, task prioritization, and evaluation of situational urgency
- Travel to customers' locations may be required occasionally
NICE TO HAVE
- Experience implementing or optimising search & discovery experiences
- Experience designing and developing generative AI and agentic application
- Experience working in a high-growth SaaS environment
- Familiarity with iOS & Android platforms.
- Experience supporting open-source projects & their GitHub communities.
- Experience with Shopify, Magento, and Salesforce a plus
#LI-remote
Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
FLEXIBLE WORKPLACE STRATEGY:
Standard company text repeated across Algolia's postings is omitted here.