Senior Solutions Engineer

Senior Solutions Engineer

Remote - Australia

At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 18,000+ 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.

This Solutions Engineer role is a critical part of Algolia's go-to-market organization, working closely with Sales and Solutions partners, as well as with select channel partners, to drive solution sales, customer adoption, and best practices. You will play a key role in helping prospects, customers and partners evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases.

In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit.

You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia's APIs.

You thrive in conversations with engineers, product leaders, and executives, and you know how to translate complex technical concepts into business value for diverse audiences.

Beyond customer-facing work, you will serve as an advocate for customer needs internally, partnering with Product and Engineering, contributing to technical content, enabling internal teams, and supporting cross-company initiatives that improve how customers succeed with Algolia.

Our priorities are guided by a simple question: what will help our customers be more successful with Algolia?

YOUR ROLE WILL CONSIST OF:

• Work with Sales Teams and prospects on their evaluation and adoption of Algolia solutions
• Understand and qualify customer goals with KPIs and effectively articulate Algolia's ability to meet them
• Assist in the Sales process including discovery, demo, Proofs of Concept (POC), RFP responses & business justification
• Assist in partner-led and partner-assisted sales motions including partner enablement, education, demo, POC
• Deliver and record occasional partner onboarding and enablement webinars, sharing Algolia platform introduction as well as newly shipped features
• Develop custom search applications leveraging the tools, frameworks, and partners of the Algolia ecosystem.
• Distill and advocate customer interests, needs and product feedback in order to relay to Product and Engineering teams
• Continuously learn and update skills and keep aware of industry trends in the Search and Discovery space, and contribute to thought leadership to make Algolia more accessible to the world.
• Work with the Solution Architects and Customer Success teams on seamless transition to the post sales process to ensure highly successful onboarding

YOU MIGHT BE A FIT IF YOU HAVE:

• Strong desire to help solve problems with the ability to explain complex technical concepts to a broad audience
• 4+ years experience in a customer-facing technical role (SE, SA, consultant, PM), ideally in the SaaS space
• Previous software development experience in one or more of the following areas:
• Front End: JavaScript, TypeScript, React
• Back-End: Java, Ruby, Go, Node, Python, Swift/Objective-C
• Experience with data modeling, data transformation and enrichment
• Great oral and written communication skills
• Experience delivering technical presales workshops of various nature (discovery, education, product demonstration)
• Experience working with channel partners such as SIs or ISVs
• Superior organisational skills working with multiple customers and have the ability to switch context quickly throughout the day with various competing demands and attention to detail
• Experience at our current stage and beyond ($150-300M+ ARR range, high growth, lots of change and building internal infrastructure)
• Growth mindset and constant curiosity to keep up with industry trends and technical developments

NICE TO HAVE:

• Experience designing mockups / wireframes / UI using tools like Photoshop, SketchApp
• Experience implementing or optimising search & discovery experiences
• Experience in ecommerce and user experience optimisation
• Experience designing and developing generative AI and agentic application
• Experience working in a high-growth SaaS environment
• Familiarity with iOS & Android platforms
• Specific knowledge in frameworks Magento, Shopify, Salesforce Commerce Cloud, commercetools and alike
• Knowledge in Analytics, SEO

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

$223,000 - $251,100 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.
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