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Senior Solutions Engineer

Algolia
CompanyAlgolia
CategoryEngineering
LocationSydney
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted10 Jun 2026
Last verified31 Jul 2026
SourceEmployer career page (greenhouse)
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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. 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, RFP 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 commu
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