Coveo Platform Lead

Job Description WHAT YOU’LL DO Own end-to-end implementation and platform administration of Coveo for Commerce, including source and index configuration, query pipelines, and ML models (Automatic Relevance Tuning, Product Recommendations, Personalization). Architect and maintain the integration between Coveo and headless CMS/DXP platforms such as Optimizely, ensuring clean, reliable data flows between content, product catalog, and search indices. Tune search relevance and merchandising rules, ranking expressions, facets, filters, synonyms/thesaurus, featured results, and category/listing page rules to drive findability and conversion. Design and implement product recommendation and personalization strategies rooted in Coveo’s ML capabilities, tied to measurable commerce KPIs such as conversion rate, AOV, and search abandonment. Apply B2B commerce search patterns across account-based catalogs, contract pricing visibility, complex faceting, and buyer-role-specific relevance distinct from standard B2C search tuning. Evaluate and design conversational and generative AI search experiences (Coveo Relevance Generative Answering and related agentic/conversational search patterns) to extend beyond traditional keyword search. Partner with, or act as, a Product Manager on the search roadmap: prioritizing features, running ROI analysis, and aligning stakeholders on trade-offs between platform capability and business value. Contribute hands-on to development across Next.js, React, and Coveo Headless/Atomic, building and maintaining custom search UI components, result templates, and interfaces. Monitor Coveo Usage Analytics to identify relevance gaps, zero-result queries, and merchandising opportunities, and translate findings into a continuous tuning cadence. Serve as the technical point of contact for the client’s search platform, presenting roadmap, performance results, and recommendations to both technical and business stakeholders. Collaborate with engineering, design, and DevOps teams to ensure the Coveo implementation meets performance, security, and scalability standards in production. Mentor developers and analysts on Coveo best practices, query syntax, and search UX patterns, building internal accelerators and reusable components for future engagements. unordered WHAT WE’RE LOOKING FOR 5+ years of hands-on experience implementing and administering the Coveo platform, including Coveo for Commerce, in production enterprise environments. Proven experience integrating Coveo with a headless CMS/DXP platform (Optimizely strongly preferred; experience with Sitecore, Adobe, or similar platforms also valuable). B2B commerce experience including understanding of contract pricing, account-based catalogs, complex product hierarchies, and buyer-specific relevance requirements. Strong hands-on search and merchandising tuning experience: ranking, relevancy models, facets, synonyms/thesaurus, recommendations, and listing/category page configuration. Working knowledge of conversational AI search solution patterns and generative search (e.g., Coveo RGA, LLM-powered search assistants, agentic search). Experience partnering with or acting as a Product Manager—prioritizing a roadmap, sizing ROI, and translating business requirements into a technical backlog. Development experience across Next.js, React, and Coveo Headless (or comparable JavaScript-based search UI frameworks). Familiarity with Coveo Usage Analytics and using data to drive continuous relevance and merchandising improvements. Excellent communication skills, with the ability to present platform strategy and results to both engineering teams and client executives. unordered WHAT SETS YOU APART Coveo certification (Coveo Certified Professional or equivalent). Optimizely Content Cloud or Commerce Cloud certification. Experience with additional enterprise search or DXP platforms (Adobe Experience Cloud, Sitecore, Algolia). Background in consulting or multi-client delivery environments where adaptability and client-facing communication are essential. Experience with cloud infrastructure (Azure or AWS) supporting search and commerce workloads or backend integrations. Familiarity with headless commerce architectures and API-first integration patterns (REST/GraphQL). Track record of building internal accelerators, frameworks, or reusable components that scale across client engagements. unordered