Business Development Representative
About the job
- Have 1–2 years of experience in outbound prospecting and pipeline generation.
- Bring a self-starter mindset and competitive drive.
- Have strong written and verbal communication skills.
- Be able to learn quickly and adapt to change.
- Have demonstrated success in overachieving professionally or personally.
- Have an interest in the technology industry.
- Work with Enterprise or Commercial Account Executives to strategize approaches to targeted accounts and build global pipeline.
- Research and prospect key contacts at target accounts, creating personalized outreach based on each prospect’s business, pain points, and use cases.
- Conduct high-quality outbound outreach across email, phone, and LinkedIn to build pipeline.
- Participate actively in the team by sharing best practices and contributing to Sales Development organization projects.
- Manage, track, and report sales activities and results using Salesforce (SFDC).
- SaaS experience is preferred, but not required.
At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds!
We are looking for highly driven individuals with strong technical aptitude and natural sales instincts to join our growing sales organization. As a Business Development Representative (BDR) at Algolia, you will play a critical role prospecting and expanding business opportunities for our Enterprise and Commercial teams. You will take part in a wide variety of responsibilities that will help foster, qualify, and mature our pipeline with high profile customers. We need someone with a hunter attitude who thrives in autonomy.
This is a role where your ideas matter! As a BDR, you will research your accounts, hone your craft in effective outreach, and have room to experiment with new ways of reaching prospects. Our team shares what works and what doesn’t, so you’ll grow quickly and help others do the same. We’re looking for a team player who welcomes feedback and is committed to continuous improvement.
- Work closely with our Enterprise or Commercial Account Executives to strategize on how to approach targeted accounts and build global pipeline
- Research and prospect key contacts at target accounts, creating personalized outreach by understanding each prospect’s business, pain points, and use casesConduct high quality outbound across email, phone, and LinkedIn to build pipeline
- Be an active part of the team, sharing best practices and participating in the Sales Development organization's projects
- Manage, track and report sales activities and results using SFDC
- 1 - 2 years of experience in outbound prospecting and pipeline generation (SaaS experience preferred, but not required)
- A self starter mindset with a competitive drive
- Excellent written and verbal communication skills
- Ability to quickly learn and adapt to change
- Demonstrated success overachieving (professionally/ personally)
- You have an interest in the tech industry
Algolia 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 total cash compensation range (base salary and commission) for this role reflects 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.
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!
On-Target Earnings Pay Range 76000 - 95000 USD
About the company
Algolia provides hosted search and discovery APIs as a software-as-a-service. It helps businesses build fast and relevant search experiences on their websites or apps by offering a managed API for indexing and querying data, as well as features like recommendations. Developers and product teams integrate Algolia’s API into their sites or apps; Algolia handles the infrastructure, scaling, and maintenance so customers don’t need to run their own search servers. The company differentiates itself through a ready-to-use, cloud-hosted search solution with strong documentation and support that makes it easy to implement and optimize search without building from scratch. Its goal is to help businesses deliver efficient, tailored search experiences at scale, improving user experience and conversion across industries such as e-commerce and media.
Company Size
501-1,000
Company Stage
Series D
Total Funding
$333.9M
Headquarters
San Francisco, California
Founded
2012
Get referred to Algolia
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Simplify's Take
What believers are saying
- September 10, 2026 hired Steven Chung and Veronica Servantez to expand enterprise AI sales.
- July 28, 2026 Agent Studio upgrades and July 21, 2026 Dynamic Facets lift conversion.
- April 1, 2026 Content Aware dismissed with prejudice, clearing a patent overhang.
What critics are saying
- Elastic, AWS OpenSearch, and Vertex AI Search commoditize retrieval, pressuring pricing by 2027.
- OpenAI and Google can own product discovery interfaces, shrinking Algolia to a backend utility.
- Algorithmic search budgets shift toward bundled suites from Shopify, Adobe, and Salesforce.
What makes Algolia unique
- Algolia powers 1.75 trillion queries yearly across 18,000+ businesses, proving scale and reliability.
- September 15, 2026 MCP Server connects ChatGPT, Claude, and Gemini to live catalogs.
- Agent Studio and Dynamic Facets combine governed AI agents with adaptive merchandising.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Flexible Work Hours
- Remote Work Options
Growth & Insights and Company News
6 month growth
2%1 year growth
1%2 year growth
1%Algolia's Chief Ecosystem Officer to discuss How AI Agents shape shopping decisions at Gartner IT Symposium/Xpo 2026. Piyush Patel to present on autonomous shopping as Algolia showcases AI Retrieval Intelligence at booth #1003 in Orlando, October 19-22. October 15, 2026 SAN FRANCISCO, CA - October 15, 2026 - Algolia, a leading Retrieval Intelligence platform handling nearly two trillion searches a year, today announced that its Chief Ecosystem Officer, Piyush Patel, will speak at Gartner IT Symposium/Xpo(TM) 2026, taking place October 19-22 in Orlando, Florida... Algolia will also host demos and meetings at booth #1003 on how retrieval intelligence turns business data into trusted, measurable answers across every AI experience. Patel's session, "The Autonomous Shopper: How AI Agents Decide What Customers Buy", will examine how AI agents are changing product discovery as shoppers move beyond traditional search, and what brands can do now to prepare for autonomous shopping. Attendees will learn why trusted business data matters when AI agents initiate search and make shopping decisions for customers and how Algolia approaches AI retrieval to deliver product recommendations grounded in relevance, context, and business requirements. The conversation will explore how real brands are solving for accurate, relevant product discovery through AI experiences at scale. "The majority of shoppers now use AI for recommendations, forcing brands to consider how those systems understand their products and respond to customer needs," said Patel. "AI agents need access to accurate, relevant business information to support useful decisions. At Gartner IT Symposium/Xpo, we'll unpack how organizations can build that foundation while retaining control over the experiences they deliver." At booth experiences (Algolia booth #1003), will include demonstrations of how intelligent retrieval connects enterprise data to search, generative, and agentic experiences. Demos and conversations will focus on reducing fragmentation across AI applications through a shared retrieval layer, grounding AI responses in current business data, and integrating AI capabilities into existing architecture. Attendees who visit the booth can score Pokémon cards from Algolia's retro vending machine and spin for a chance to win a $400 Gold Charizard card. To schedule a demonstration or connect with Algolia in Orlando, visit: https://www.algolia.com/lp/event-gartner-NA-IT-Symposium-2026 About Algolia Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering nearly 2 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, Algolia, Inc. is the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Learn more at www.algolia.com.
Algolia launches native Shopify B2B integration, bringing account-specific search & discovery to wholesale & retail. Account-specific catalogs, pricing and quantity rules now shape search results automatically, so every business buyer sees the right products at the right price, without custom development. Algolia, the Retrieval Intelligence platform that helps ecommerce teams turn every search into a sale, announced native support for Shopify B2B. Retailers, brands, wholesalers and distributors selling to business buyers on Shopify can now deliver search & product discovery that adapts to each customer, from the products and prices they see to how results are ranked, so buyers find the right items faster, reorder with less effort and spend more. When a business buyer signs in, Algolia search shows only the products their company is authorized to purchase, at the prices it has negotiated, with the quantity rules that govern each order. Merchants get this through the same Algolia integration that powers their consumer storefronts, with no separate search system or custom middleware to build or maintain. The launch comes as digital commerce becomes an increasingly important source of B2B growth. The global B2B ecommerce market is projected to reach $36 trillion in 2026, while Shopify reports that B2B gross merchandise value on its platform grew 96% during 2025. Yet B2B discovery remains considerably more complicated than consumer search. A wholesaler may serve hundreds of companies, each with different catalogs, contract prices, company locations, volume discounts and purchasing requirements. When search exposes an unauthorized product or displays a price that changes at checkout, the experience creates confusion, generates support requests and undermines buyer confidence. Piyush Patel, Chief Ecosystem Officer, Algolia said: "Complex B2B use cases have typically required lengthy custom builds. Working with Shopify, one of our top strategic enterprise partners, we can now bring the retrieval intelligence that thousands of Shopify customers rely on today to a much wider audience." One search experience, tailored to every business buyer When a buyer signs into a merchant's B2B portal and selects their account location, Algolia automatically adapts the products and commercial information presented in search: * Account-specific catalog visibility: Search results include only products published to the buyer's assigned company catalog. * Negotiated and account-specific pricing: Results display the price the buyer will pay at checkout, including fixed prices and percentage-based adjustments from standard pricing. * Quantity and volume rules: Minimum and maximum quantities, purchasing increments and available volume discounts appear during discovery, helping buyers make informed purchasing decisions earlier. Amanda Engelman, Director of Product, Collective & B2B, Shopify noted: "Business buyers want the convenience and speed they experience as consumers, while still receiving the pricing, products and purchasing terms specific to their company. Algolia brings its speed, relevance and scale to Shopify B2B, helping merchants deliver that experience across even their most complex catalogs." Helping retailers operate consumer and wholesale channels together Many retailers and brands sell directly to consumers while also serving wholesale accounts, franchisees, dealers, professional buyers or corporate customers. These businesses have traditionally relied on separate storefront technologies and duplicated search logic to support each audience. Algolia's native Shopify B2B support allows merchants to extend the speed and relevance of their consumer search experience to wholesale commerce while preserving the rules associated with each business account. Merchants can manage thousands of SKUs, multiple company locations and different pricing and catalog configurations without maintaining a separate B2B search stack.
Algolia has acquired Velou, a New York-based company that uses multimodal AI to extract context-rich product data from catalogue text and images. Financial terms were not disclosed. Velou serves more than 50 retail and premium brand enterprise customers. The acquisition adds a layer of product intelligence to Algolia's platform, which handles nearly two trillion searches annually for over 18,000 customers. Velou's technology automatically extracts specific product attributes against a curated retail taxonomy, improving search accuracy without manual tagging. UK sportswear retailer Get The Label added more than 190,000 product attributes over six months using Velou, and revenue from site search rose 60%. The six-person Velou team joins Algolia. Existing APIs and integrations remain unchanged, with enhanced intelligence operating underneath.
Algolia launches production-grade MCP for agentic commerce. Developers can now connect ChatGPT, Claude, Gemini and custom AI apps to live product data without rebuilding retrieval for every framework. Algolia, the AI Search and Retrieval platform orchestrating more than 1.75 trillion queries each year, trusted by more than 18,000 businesses and used by millions of developers worldwide, announced the Algolia MCP Server, its application for accelerating the creation of AI agents, and optimizing agentic commerce experiences. As AI becomes the interface for commerce, developers face a fundamental challenge: Large Language Models (LLMs) can reason, but they cannot answer commerce questions without access to live product catalogs, pricing, inventory, merchandising rules and business context. Today, those integrations are often rebuilt for every model, framework and application. Algolia eliminates that work by exposing Algolia's commerce intelligence through a production-ready Model Context Protocol (MCP) foundation. Developers can connect any leading LLM (including ChatGPT, Claude, Gemini) and MCP-compatible agent frameworks to trusted product search and retrieval without rebuilding retrieval infrastructure for every AI experience. At the core of the release is Algolia's MCP Server, which exposes product search, facet discovery, catalog context and retrieval as standardized AI tools. The same MCP foundation powers both Agent Studio and direct MCP integrations across chat experiences, search, and agent experiences. AI-generated index descriptions further help LLMs determine which catalogs to query and when to query them, which improves retrieval quality without additional developer effort. Stephen Lynch, Chief Executive Officer, Algolia, said: "AI is creating an entirely new interface for commerce. The companies that win won't be the ones building the best chatbot, rather they'll be the ones exposing trusted commerce intelligence to every AI agent, application and customer touchpoint. Agent Studio gives developers that foundation through MCP, making it possible to build once and extend intelligent commerce anywhere." Unlike generic LLMs, Algolia MCP gives AI agents access to that same live commerce data in production, including pricing, inventory, relevance, and merchandising rules rather than recreating those integrations for every framework or application. Developers can expose a single trusted commerce foundation that works consistently across the rapidly expanding ecosystem of AI agents. The latest release focuses on three developer priorities: a production-ready MCP foundation, a build-once deployment model across every commerce surface and production-grade controls for running AI agents safely at scale. A Production-Ready MCP Foundation for AI Agents Algolia's MCP Server turns Algolia's retrieval engine into a reusable foundation that AI agents can consume directly. Product search, facet discovery, relevance signals and catalog context become standardized tools that can be used consistently across ChatGPT, Claude, Gemini, custom applications or any framework that supports the MCP. The result is a portable discovery layer for AI commerce that powers conversational shopping, AI search and guided selling, without duplicating business logic or retrieval infrastructure. Build Once. Deploy Across Every Commerce Surface Agent Studio provides developers with the components, SDKs and deployment path needed to move from prototype to production quickly. A redesigned Quick Setup experience in the dashboard guides developers through connecting a catalog, configuring system prompts, enabling MCP tools, defining agent behavior and establishing safety policies. Once configured, Agent Studio generates production-ready implementation code, allowing teams to deploy their first AI experience in minutes rather than weeks. Developers can then embed the same AI capabilities across every customer touchpoint using Algolia's UI SDK, including search bars, autocomplete, chat, product pages, mobile applications and custom storefront experiences. AI-powered search becomes another interface to the same retrieval foundation rather than a separate application, which allows teams to extend identical product intelligence across every surface. Prompt suggestions, conversational entry points and agent behavior remain fully configurable, which provides developers control over how AI interactions begin and evolve without requiring application-specific implementations. Because the retrieval layer is shared through MCP, the same commerce intelligence extends beyond storefront experiences to external AI clients and agent frameworks ensuring catalogs are available wherever customers choose to interact with AI. Production controls for AI Agents Agent Studio provides the operational controls developers need to run AI-powered commerce applications with confidence. Guardrails, governance policies and cost controls can be configured independently for every agent without requiring custom infrastructure or middleware. Developers can define input and output guardrails, restrict disallowed content categories, configure fallback behaviors and enforce moderation before responses reach end users. For streamed interactions, responses are evaluated before presentation, preserving the responsiveness users expect while ensuring generated content complies with organizational policies. Operational controls extend beyond safety. Teams can configure request limits, per-IP rate limiting, maximum token budgets, conversation depth, tool execution limits, approved domains and other production boundaries that help control costs, reduce abuse and ensure predictable agent behavior at scale. Together, these updates make Agent Studio more than an interface for building AI commerce experiences, they make it the production infrastructure for exposing trusted commerce intelligence to modern AI systems. For developers, this means moving beyond isolated AI experiments and toward commerce applications that scale safely across every model, framework and customer touchpoint.
From Search & Discovery to agentic commerce experience. Algolia is pushing Search & Discovery forward with increasingly sophisticated AI. Bayezon changes the architecture. Product Intelligence understands the products. Intent Intelligence understands the shopper's objective. Agentic Search determines how to fulfill it. Journey Optimization determines what should happen next. Agentic Storefront(TM) turns those decisions into the experience. Algolia is evolving Search & Discovery. Bayezon is creating the step change to Agentic Commerce Experience. Don't just make Search & Discovery more intelligent. Make the entire commerce experience agentic.