Senior Solutions Engineer

Algolia brings Agentic Commerce to the modern storefront, giving retailers AI shopping experiences built on trusted product data. New Agent Studio capabilities help commerce teams ground AI agents in trusted product data, apply guardrails and cost controls, and bring guided discovery into high-intent shopper journeys. July 28, 2026 SAN FRANCISCO, CA - July 28, 2026 - Algolia, the AI Search and Retrieval platform orchestrating more than 1.75 trillion queries each year, trusted by over 18,000 businesses and used by millions of developers worldwide, today announced significant enhancements to Agent Studio, its application for accelerating the creation and optimization of AI agents and onsite agentic commerce experiences. AI is transforming how consumers shop. Instead of navigating filters and product grids, shoppers increasingly expect to be able to take advantage of generative experiences that can answer complex questions, compare products, provide personalized recommendations & inspire confidence in every purchase. But generic LLMs are not built for commerce. They do not inherently understand the pace of change of catalogs, inventory, pricing, merchandising logic, compatibility requirements, or the business rules that determine what should be shown, recommended, or suppressed. Algolia's Agent Studio closes this gap by acting as the intelligent layer for agentic commerce, connecting AI-powered shopping experiences to multiple, different data including blog content, customer reviews, shoppers' context, business rules, merchandising logic, and relevance signals retailers depend on. Rather than treating AI as a standalone assistant, Agent Studio enables retailers to deploy governed AI conversational experiences that consistently guide shoppers toward the right products while protecting brand standards & maximizing commercial performance, from the search bar and product detail pages to guided selling, recommendations, comparisons, fitment, reviews, and other customer touchpoints. Stephen Lynch, Chief Executive Officer, Algolia, said: "Retailers want to effortlessly deploy AI shopping experiences that understand their products, answers questions accurately, make relevant recommendations, and help their customers buy with confidence. Agent Studio gives retailers the trusted foundation, governance, and control to bring AI into every shopping journey, while also ensuring every experience remains accurate, relevant, and aligned with their business." Useful AI shopping experiences require more than a conversational interface. They need accurate product data, reviews, attributes, inventory, pricing, and merchandising logic. Algolia helps transform these inputs into a high-performing index optimized for intelligent retrieval, giving AI experiences the foundation they need to respond with speed, precision, and confidence. The latest Agent Studio enhancements focus on three priorities for retailers bringing agentic commerce to the storefront: * Production-ready AI * Better shopping experiences * A faster path to launch. Production AI for live retail environments Agent Studio gives retailers confidence in how AI agents behave in live shopping environments, with guardrails, cost controls, and governance settings that can be configured for each agent. These capabilities help retailers protect against unsafe inputs, unsafe outputs, misuse, and runaway LLM costs, while setting clear boundaries for where and how agents operate. Custom guardrails allow teams to define disallowed content categories, apply them to shopper inputs, agent outputs, or both, and configure fallback messages when content is blocked. Input guardrails evaluate shopper messages before they reach the LLM, while output guardrails review generated responses before they are shown to the shopper. Retailers can also configure global request limits, per-IP limits, maximum tokens per response, conversation-depth limits, maximum steps per completion for tool-using agents, and approved domains. Together, these controls help commerce teams manage cost, reduce abuse, and bring greater discipline to AI deployments before agents are exposed to shoppers. Heather Hershey, Senior Research Director, Digital Commerce & Agentic Commerce Strategies, IDC, noted: "Agentic commerce cannot scale on intelligence alone. Retailers need guardrails that make AI agents safe, governed, and economically manageable in live shopping environments. When teams can control what an agent can say, where it can operate, and how much it can consume, they can move faster from pilot projects to production experiences that shoppers actually trust." Better shopping experiences across the customer journey Agent Studio brings AI-powered product discovery directly into the shopping experiences customers are familiar with, beyond a chatbot they may be hesitant to use. Retailers can embed conversational AI across search, autocomplete, chat, and mobile, making it easier for shoppers to move seamlessly from keyword search to AI-guided discovery. Prompt suggestions help shoppers ask better questions and explore products more effectively, reducing friction at the start of the journey. Retailers can configure the underlying prompt, number of suggestions, and response behavior to align the experience with their brand voice, merchandising strategy, and customer needs. In the search bar, AI mode gives shoppers a clear bridge from traditional search into a conversational experience. As shoppers type, contextual prompt suggestions can appear and open the chat experience with the selected prompt already populated. AI mode and prompt suggestions are also supported on mobile, giving retailers a consistent way to bring conversational product discovery to the device many shoppers use first. Across desktop and mobile, these capabilities create a more intuitive shopping experience that helps customers compare options, discover relevant products faster, and buy with greater confidence. A faster path from pilot to storefront Agent Studio helps retail and merchandising teams move from AI pilots to live storefront experiences faster, with guided setup, configurable agent behavior, and implementation tools that make it easier to bring AI-powered product discovery into the customer journey. Retailers can rapidly build on the search, relevance, and merchandising work they already have in Algolia, rather than starting from scratch, helping teams launch more quickly while keeping AI experiences aligned with their catalog, brand standards, and business goals. The enhanced Agent Studio capabilities are available to Algolia customers with Guardrails and Cost Controls available today. Teams can configure the new capabilities in Agent Studio and use Algolia's implementation path to embed agentic discovery experiences into their ecommerce sites. About Algolia. Algolia is the leading AI Search and Retrieval platform, powering 1.75 trillion searches a year for more than 18,000 businesses. With a unified keyword and vector search and retrieval engine, Algolia delivers the world's fastest and most scalable search and discovery technology. Companies rely on Algolia to build agentic, generative, and search experiences through tools like Agent Studio. With over a decade of innovation, Algolia is redefining retrieval-powered applications and the future of AI discovery. Learn more at www.algolia.com.

Algolia has launched Dynamic Facets, a feature that automatically prioritises the most relevant product filters based on shopper behaviour and search context. Rather than displaying fixed filter options for every query, the system adapts in real time to help shoppers find products faster. The capability addresses a common e-commerce challenge where static filter panels become outdated as catalogues and customer behaviour evolve. Dynamic Facets uses AI to surface the most appropriate refinement options for each search, reducing manual merchandising work. Early results show click-through rates on specific filters improved by 10 to 15% in top-performing markets. The feature is available now for Algolia's customers, who include over 18,000 businesses generating 1.75 trillion queries annually.

Algolia launches Dynamic Facets to make product discovery faster, smarter, and more relevant. New capability uses shopper behavior to automatically prioritize the most relevant filters for every search, helping retailers improve conversion while reducing manual merchandising workNew capability uses shopper behavior to automatically prioritize the most relevant filters for every search, helping retailers improve conversion while reducing manual merchandising work. July 21, 2026 SAN FRANCISCO, Calif., July 21, 2026 - Algolia, the AI Search and Retrieval platform powering more than 1.75 trillion queries each year for over 18,000 businesses worldwide, today announced the availability of Dynamic Facets, a new capability that automatically surfaces the most relevant filters based on what a shopper is actively searching for. Rather than presenting the same fixed refinement options for every query, Dynamic Facets adapts in real time to search context and user behaviour, helping shoppers find what they need faster while reducing the manual configuration work typically required by search and merchandising teams. For online shoppers, filtering is supposed to be the shortcut. Too often, it becomes another obstacle. As product catalogues grow, shoppers are forced to navigate numerous options through filter panels that show the same fixed refinement choices regardless of intent. Someone searching for televisions may have to scroll past irrelevant attributes before finding screen size or resolution, while a skincare shopper may need to hunt for ingredients, skin type, or product concerns. The issue is not poor design. Most filter experiences were configured once in the early stages of the web design and based on reasonable assumptions about how people would shop. But categories change, inventory shifts, trends move, and customer behaviour evolves. Over time, the filter panel starts to reflect how the business organizes its catalogue rather than how shoppers search. The result is more scrolling, fewer refinements, slower discovery, and missed opportunities to convert. Algolia's Dynamic Facets addresses this challenge by intelligently adapting the filtering experience to each search. Facets, the attributes shoppers use to narrow results such as size, color, brand, or format, are automatically prioritized based on what is most relevant in the context. Egil Grønn, Search and Discovery System Lead at Elkjøp, said: "We see significant potential with Algolia's Dynamic Facets feature to make filtering more responsive to how people actually shop. Rather than relying on a fixed order of filters, the experience can automatically prioritize the attributes that matter most in each category. For example, when someone searches for a television, screen size should not be buried at the bottom of the filter list. If shoppers consistently use that attribute, it should automatically rise to the top." Early usage of Dynamic Facets shows that when the most relevant filters are surfaced sooner, shoppers engage faster and more frequently. In the strongest-performing markets, clickthrough rates on specific filters improved by 10 to 15 percent, with shoppers clicking results that appeared two to three positions higher on the page. By reducing the distance between search intent and the right result, Dynamic Facets helps retailers create faster, more effective discovery experiences that move shoppers closer to purchase. Dynamic Facets also surfaces data on which filter values are seeing the most interaction, for example which brand, size, color, or attribute users are actually clicking on. Algolia exposes this as a data layer that teams can build on. A practical example: pulling the top five filter values for a given query and surfacing them as quick-filter chips directly on the page, reducing the number of steps between a search and a refined result. Nate Barad, Vice President, Product & Technical Marketing at Algolia noted: "Shoppers instinctively turn to filters to refine search and move quickly from intent to product. But as language, trends, and customer expectations evolve at speed, static facets can hold retailers back and place unnecessary pressure on merchandising teams. Dynamic facets, powered by behavior and AI, adapt automatically to each shopper's context, surfacing the most relevant refinement options in real time. The result is a faster, more intuitive discovery experience for customers, and a more scalable, efficient way for merchandising teams to deliver relevance without constant manual intervention." Dynamic Facets is particularly valuable wherever search must work across large, varied catalogues, especially for retailers, marketplaces, media libraries, and any environment where what someone is looking for varies dramatically from one query to the next. The more diverse the catalogue and the more varied the queries, the more likely a static filter list gets in the way. Algolia's observations on digital commerce points to a future where AI and automation sophistication has become increasingly central to the shopping experience. Algolia's Dynamic Facets aligns with this by using shopper behavior and search context to automatically surface the most relevant filters and values, helping retailers reduce friction for customers while lowering the manual burden on merchandising teams. Heather Hershey, IDC's Senior Research Director for Digital Commerce & Agentic Commerce Strategies, added: "Dynamic Facets is compelling because it's incorporated within an AI Search platform and applies AI and automation analysis to a very practical commerce problem: helping shoppers get from intent to product faster. Retailers do not need more novelty AI. They need capabilities that reduce friction, improve relevance, and make merchandising operations more scalable. Context-aware faceting is especially important as discovery moves from static navigation toward AI-enabled, behaviour-driven experiences." Dynamic Facets builds on Algolia's existing faceting suite, including searchable facets, which let users search within long filter lists without scrolling. Together, they give teams the flexibility to choose how much to configure manually and how much to automate. Dynamic Facets is available now for Algolia customers - see more details here: https://www.youtube.com/watch?v=dli4ekL_GbQ&t=25s. About Algolia Algolia is the leading AI Search and Retrieval platform, powering 1.75 trillion searches a year for more than 18,000 businesses. With a unified keyword and vector search and retrieval engine, Algolia delivers the world's fastest and most scalable search and discovery technology. Companies rely on Algolia to build agentic, generative, and search experiences through tools like Agent Studio. With over a decade of innovation, Algolia is redefining retrieval-powered applications and the future of AI discovery.