Senior Software Engineer, Merchandising (US Eastern)

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. The Team The Digital Merchandising Product team is enabling companies to optimize their business metrics by personalizing and curating search and discovery experiences mapped to the shopper journey. We work across Algolia stack in building solutions leveraging Search Engine, Rules, AI Studio, Analytics etc. We have ambitious goals ahead of us, including building several new products on top of Algolia existing APIs and capabilities. The Opportunity As a member of the Digital Merchandising team: You will have a direct impact on Algolia’s user adoption and revenue stream You will play a pivotal role in architecting and implementing new products, that will play a central role for the future of Algolia You will be in the driver seat to innovate in the multi-billion dollar market eCommerce industry Work closely with the rest of R&D teams to deliver the next generation products Your role will consist of: Be a key full-stack contributor to the design, development, and operation of the Merchandising services at scale Be responsible for the quality, reliability and availability of the system Work with other teams to build features and resolve high impact issues You might be a fit if you have: Experience building and working with APIs at scale preferably in Golang and backend experience in Ruby on Rails Rigor in high code quality, automated testing, and other engineering best practices Located in US Eastern or Central time zones Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure). Nice to have: Experience in C++ Experience working with large datasets and high traffic Experience in Site Reliability Engineering Experience in Kubernetes based deployments #LI-Remote Algolia is an Equal Opportunity Employer and 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 base salary compensation range for this role reflects US 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. Remote US: Base Salary Pay Range $176,000—$215,000 USD 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!