Enterprise Commerce – Data Integration Engineer (Salesforce B2C Commerce)
Job Description
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At Algolia, we’re a pioneer and market leader in AI Search, empowering 18,000+ 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.
Algolia was built to help users deliver intuitive search and discovery experiences across their websites and applications. We provide APIs and integrations used by thousands of customers around the world. The Enterprise Commerce – Data team focuses on designing and supporting integrations that enable thousands of customers to seamlessly link their commerce platforms with Algolia.
What You Will Do
- Design, develop, and evolve Algolia’s Salesforce B2C Commerce (SFCC) integration, with ownership of its architecture, scalability, and long-term technical direction, while contributing to other integrations as needed.
- Own technical work from design through delivery and ongoing improvement.
- Write technical RFCs and contribute to architecture and design decisions.
- Improve the quality, reliability, and maintainability of the integration.
- Investigate and resolve complex integration issues, partnering across Engineering, Product, Support, and customer-facing teams to provide technical solutions within the integration.
- Provide technical input to support roadmap planning, including level-of-effort estimates and identifying opportunities to improve and evolve the integration.
What You Might Bring
- Extensive Salesforce B2C Commerce (SFCC) experience, with deep knowledge of SFRA, cartridges, hooks, jobs, services, and B2C Commerce APIs, including designing and maintaining production SFCC integrations.
- Strong JavaScript skills and experience with requireJS, TypeScript, and Node.js.
- Experience integrating commerce platforms with external APIs and services.
- Solid software engineering fundamentals, including automated testing, maintaining existing test suites, debugging, code quality, and maintainable design.
- Ability to own complex technical problems, identify root causes, and implement reliable engineering solutions.
- Ability to communicate technical findings, remediation plans, and trade-offs clearly through technical documentation and RFCs.
- A collaborative approach and willingness to learn, share knowledge, and work across technologies when needed.
- Alignment with Algolia’s Core Values: Grit, Trust, Care, Candor, and Humility.
- Excellent spoken and written English.
Nice to Have
- Experience with Algolia, search, or indexing systems.
- Experience with React and headless commerce.
- Experience with Adobe Commerce and PHP.
- Experience with Adobe Commerce Cloud Service (ACCS) and Adobe App Builder.
- Experience with other enterprise commerce platforms, including headless or composable commerce.
- Experience building or maintaining publicly distributed cartridges, plugins, SDKs, integrations, or open-source software.
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Algolia
View Company ProfileAlgolia is a premier, enterprise-grade AI search and discovery powerhouse engineered to orchestrate massive-scale information-retrieval ecosystems and intelligent, frictionless content-navigation workflows. Operating as an "API-first" search-as-a-service hub, the company eliminates the operational friction of traditional, legacy search implementations—which frequently suffer from slow query-latency, poor typo-tolerance, and disconnected data-indexing pipelines—by seamlessly deploying advanced "NeuralSearch" telemetry, rigorous vector-based semantic search architectures, and cohesive cross-platform integration frameworks. Moving beyond rigid legacy keyword-search paradigms, Algolia empowers global enterprises—including leaders like Under Armour, Stripe, and Slack—to dynamically synchronize their product discovery, generative AI responses, and personalized user-journey pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by 70+ global data centers and hyperscale indexing—natively manages complex global multi-region data ingestion, instantaneous automated relevance-optimization, and secure, compliance-hardened deployment workflows, providing the necessary operational foundation to support the modern, high-velocity AI-driven economy. What sets Algolia apart is its uncompromising dedication to frictionless "discovery-orchestration"; by bridging the gap between highly technical, performance-intensive retrieval demands and accessible, high-velocity developer-centric interfaces, the firm empowers modern commercial organizations to radically accelerate their search-to-conversion velocity, eliminate systemic relevance-bottlenecks, and build an unassailable foundation for continuous commercial and institutional success in the modern, AI-transformed global-technology landscape.
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