Full-Stack Software Engineer

About the RoleJoin an early-stage, AI-native B2B SaaS startup building a consumer intelligence platform that helps enterprise brands make sense of fragmented data at scale. As a Full-Stack Software Engineer, you'll work across every layer of the platform — from backend services that process enterprise data to the frontend interfaces that make that intelligence accessible and actionable.This is a high-ownership role on a small, fast-moving team. You'll take features from idea to production, iterate directly with enterprise clients, and contribute meaningfully to the product's direction. If you're energized by breadth and see product context as a superpower, this role is for you.What You'll DoBuild and ship features end-to-end — backend services in Go/Python and frontend experiences in React/TypeScriptDesign APIs, data models, and service architectures that support agentic AI capabilitiesCreate intuitive interfaces that translate complex enterprise data into clear, actionable workflowsCollaborate with ML engineers to bring AI-driven features to productionOwn features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iterationWork directly with enterprise customers and stakeholders to understand real-world needs and refine the productContribute to infrastructure, tooling, and developer experience as the engineering team scalesWhat We're Looking ForRequired5+ years of professional full-stack engineering experience building and shipping production web applicationsProduction experience with TypeScript/React and at least one of: Go or PythonDemonstrated end-to-end ownership of features across both frontend and backend systemsExperience deploying and maintaining production systems on AWSTrack record of broad-scope responsibilities including infrastructure, deployment, or DevOpsProven comfort in early-stage, high-ownership startup environmentsStrong product instincts — you think about the user, not just the codeComfortable with ambiguity and rapid iteration; able to take a vague problem and ship a solutionNice to HaveExperience building data pipelines or working in data engineering rolesExperience integrating LLMs or building agentic AI systems (e.g. RAG architectures)Background in enterprise SaaS, retail technology, or data-intensive productsFamiliarity with data visualization, real-time systems, or streaming architecturesContributions to developer tooling, CI/CD, or infrastructure automationNote: Visa sponsorship is not available for this role.Compensation & BenefitsSalary: $120,000 – $160,000 per year, depending on experienceLocationThis is an on-site role based in New York, NY. Candidates should be available to work from the New York City office.