Job Opportunities API

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com . About this position: We’re looking for a motivated Software Development Co-op who’s excited to build modern web applications, experiment with agentic development patterns, and work with real‑world creator‑economy data. You’ll collaborate with our engineering team to build React front‑end features, integrate Node/NestJS backend services, and help us classify and understand social media creators using model‑driven inference. This co-op is ideal for students who have built meaningful projects, enjoy learning new technologies quickly, and want hands‑on experience with production‑grade systems. What You’ll Work On Build responsive, component‑driven React front‑end features using modern tooling. Develop and maintain backend endpoints using Node.js and NestJS. Integrate with first- and third‑party APIs (Facebook, Instagram, TikTok, Snapchat, etc.) to fetch, normalize, and aggregate data. Implement state management and data‑fetching patterns using ReactQuery/TanStack Query. Use agentic development practices to design workflows that call models or tools autonomously. Work with ML‑powered inference to classify data. Participate in code reviews, architecture discussions, and iterative product development. What You Bring Currently pursuing a degree in Computer Science, Engineering, or a related field. Coursework or project experience with JavaScript/TypeScript. Hands‑on experience building React applications (class projects, personal projects, hackathons, etc.). Familiarity with Node.js; experience with NestJS is a plus but not required. Understanding of REST APIs, JSON, and asynchronous programming. Experience using ReactQuery/TanStack Query or similar data‑fetching/state tools. Comfort working with external APIs and handling varied data formats. Curiosity about agentic development, LLM‑powered workflows, or tool‑calling patterns. Interest in applying models for classification, tagging, or inference tasks. Nice-to-Have Exposure to social media APIs or creator‑economy tools. Experience with TypeScript end‑to‑end (React + Node). Familiarity with prompt engineering or model‑driven automation. Understanding of basic ML concepts (classification, embeddings, etc.). Experience building dashboards or data‑rich UI components. What You’ll Gain Real-world experience building production features with modern frameworks. Mentorship from engineers working on distributed systems, data pipelines, and agentic workflows. Exposure to the creator economy, social API ecosystems, and model‑driven classification. A portfolio of shipped features and measurable impact. How you work:  Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear. Strategic & Customer-Centric: You anticipate risks