Staff Engineer, Search
Fullscript- Full Time
- Senior (5 to 8 years)
Candidates should possess 7+ years' experience working in ecommerce as a data/business analyst, 5+ years of experience collaborating with cross-functional teams including sales, customer success managers, solution engineers, data scientists, product managers, partners, and customers, and 2+ years' experience with search relevance and ranking optimization. Strong analytic skills working with both structured and unstructured datasets are required, along with experience performing root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
The Senior Search Performance Business Analyst will analyze 1st party and 3rd party analytics and A/B test data to assess search and discovery performance, including query spectrum coverage, result-set relevance, and ranking efficiency. They will work with large customers to improve AI feature adoption, expansion, and renewal rates, tying performance data to business outcomes and delivering ROI analyses for prospective and existing customers. Additionally, the role involves analyzing and optimizing core ranking and AI feature configuration, identifying customer areas for focused effort, developing thought leadership, and advising customers on maximizing Algolia’s AI Search platform.
Provides hosted search and discovery solutions
Algolia offers search and discovery solutions through a hosted search API, enabling businesses to create fast and relevant search experiences. Its services are particularly useful for e-commerce platforms and media companies, providing extensive support to help clients integrate advanced search capabilities. Algolia operates on a subscription model, allowing clients to access its APIs without managing infrastructure, which ensures scalability and reliability. The company aims to enhance user experience by enabling tailored and efficient search functionalities for businesses of all sizes.