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# Customer Success Engineer

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/algolia.md)ShareRemote from[Australia](https://jobicy.com/job-region/australia.md)SalaryAUD 130,500–163k / yrDepartment[Technical Support](https://jobicy.com/categories/technical-support.md)EmploymentFull TimeExperienceOpen levelPublished5 Oct 2026Apply before4 Nov 2026Listing views30Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Algolia is hiring a Customer Success Engineer to drive technical onboarding, implementation, adoption, and optimization of its search and discovery platform. The role combines customer consulting, solution design, technical workshops, risk management, and account delivery in partnership with Customer Success Managers, Product, and Engineering. Candidates need 4+ years in a customer-facing technical SaaS role, with programming, REST API, database, and web-development knowledge. The position also values experience with search, generative AI, agentic applications, e-commerce platforms, and clear communication with technical and non-technical stakeholders.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a technically demanding, customer-facing role requiring practical software-development knowledge alongside solution consulting and implementation delivery. The engineer must diagnose varied customer architectures, resolve technical risks, and translate complex concepts for diverse stakeholders.

## Salary analysis

Estimated compensation compared with the broader AU market for similar roles.

Estimated job medianHighly competitiveA$146,750AU market rangeA$115k–A$155k0A$171k

AI insightThe disclosed annual on-target earnings range is AUD 130,500 to AUD 163,000, with a midpoint of AUD 146,750; it includes base salary and commission. For comparison, the estimated US yearly market range for a mid-level Customer Success Engineer with SaaS and technical implementation expertise is approximately USD 115,000 to USD 155,000, varying by location, commission mix, and depth of solution-engineering experience.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Customer Success Engineering](https://jobicy.com/jobs?search_keywords=Customer%20Success%20Engineering.md)[Technical Consulting](https://jobicy.com/jobs?search_keywords=Technical%20Consulting.md)[SaaS](https://jobicy.com/jobs?search_keywords=SaaS.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Database Management](https://jobicy.com/jobs?search_keywords=Database%20Management.md)[Technical Workshops](https://jobicy.com/jobs?search_keywords=Technical%20Workshops.md)[Search Optimization](https://jobicy.com/jobs?search_keywords=Search%20Optimization.md)[Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)

Sample interview questionsHow would you approach onboarding a customer that is integrating a search platform into a complex existing web architecture?I would begin with discovery of the customer’s business goals, user journeys, data sources, existing architecture, performance requirements, and success metrics. I would then propose a phased implementation plan covering data modeling, indexing, API integration, relevance configuration, testing, launch, and post-launch measurement. Throughout the process, I would document decisions, identify risks early, and hold regular checkpoints with both technical and business stakeholders.

Describe how you would troubleshoot poor search relevance or slow search performance for a customer.

I would first establish the observable symptoms and collect relevant examples, query patterns, analytics, index configuration, and performance data. For relevance, I would review attributes, ranking criteria, filters, synonyms, query rules, and the quality and freshness of indexed data. For performance, I would examine request patterns, payload size, network behavior, caching opportunities, and implementation choices, then validate improvements against agreed user and business metrics.

How do you explain a technical API or architecture issue to a non-technical customer stakeholder?

I start with the business impact, explain the issue in plain language, and avoid unnecessary implementation detail. I use a simple analogy or visual when helpful, present the available options with trade-offs, and make a clear recommendation. I then confirm understanding and provide written next steps so all stakeholders know what will happen and why.

Tell us about how you would structure and deliver a technical workshop for a customer team.

I would define the workshop’s audience, goals, prerequisites, and desired outcomes in advance. The agenda would combine concise product context with hands-on exercises tied directly to the customer’s use case, such as API integration, indexing, relevance tuning, or debugging. I would leave time for questions, capture decisions and follow-up actions, and provide reusable documentation and implementation guidance afterward.

How would you manage a technical risk that could delay a customer implementation?

I would document the risk clearly, assess its impact and urgency, identify root causes and owners, and communicate it early to the customer and internal partners. I would propose practical mitigation options, such as a phased rollout, workaround, escalation to Engineering, or scope adjustment. I would maintain a visible action plan and provide regular status updates until the risk is resolved or an agreed alternative is implemented.

Opportunity details

## About this role.

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company’s products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact.

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.

The annual total cash compensation range (base salary and commission) for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.

On-Target Earnings Pay Range

$130,500—$163,000 AUD

FLEXIBLE WORKPLACE STRATEGY:

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 SOMEONE WHO CAN LIVE OUR VALUES:

* GRIT – Problem-solving and perseverance capability in an ever-changing and growing environment.
* TRUST – Willingness to trust our co-workers and to take ownership.
* CANDOR – Ability to receive and give constructive feedback.
* CARE – Genuine care about other team members, our clients and the decisions we make in the company.
* HUMILITY – Aptitude for learning from others, putting ego aside.

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.

IMPORTANT NOTICE FOR CANDIDATES – Recruitment Fraud Notice

We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:

* Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
* All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
* We’ll never ask for payments, purchases, or financial details during the hiring process.

READY TO APPLY?

If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!

Show more

[Apply now >](https://jobicy.com/jobs/154612-customer-success-engineer-5.md)

*

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