Turn marketing into a market-domination weapon. We created a new category — the marketplace for future customers. Businesses shop for leads like they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.
Lead the development of high-velocity, AI-native full-stack features across the product, using modern frameworks and AI-assisted engineering practices. This role focuses on fast, high-quality delivery, deep ownership of features end-to-end, and active use of AI tools to accelerate development, reduce manual work, and build scalable, intelligent systems. Requirements • 3-5+ years of experience as a full-stack developer in high-velocity product environments. Strong hands-on experience with: • Angular (v15+), RxJS, NgRx • Node.js (NestJS), TypeScript • MongoDB, Mongoose (PostgreSQL is a plus) • REST APIs, WebSockets, GraphQL • Asynchronous pipelines and microservices • CI/CD pipelines, Docker, AWS • Testing frameworks: Jest, Cypress, Playwright, Postman
• Practical experience using AI tools and copilots for development (VibeCode, ChatGPT, etc.). • Understanding of how to build AI-driven features such as agents, embeddings, and automations. • Experience integrating external APIs and AI model APIs (OpenAI API, LangChain is a plus). • Strong debugging, refactoring, and problem-solving skills. • Ability to work across the full product lifecycle: specification → development → testing → deployment. • Product mindset: focused on solving real problems, not just writing code. • English level B2+. Responsibilities • Develop full-stack features (frontend, backend, database) with high speed and quality. • Actively use VibeCode and AI-assisted tools to accelerate development and reduce manual coding. • Build and maintain scalable REST APIs, UI components, backend services, and internal micro-tools. • Ensure clean architecture and maintainable, easy-to-extend codebases. • Write automated tests (unit, integration, E2E), including AI-assisted test generation. • Improve engineering workflows using AI and automation. • Participate in code reviews (AI-assisted reviews are acceptable). • Reduce technical debt, improve performance, and optimize existing modules. • Create and maintain internal technical documentation, with AI support where applicable. • Build internal AI workflows such as prompt chains, agents, utilities, scripts, migrations, and test data generators. • Implement features using OpenAI API or other AI model APIs when required. Nice to have • Experience with marketing, GTM, or growth-focused systems. • Hands-on experience with LangChain or similar AI orchestration frameworks. • Experience building internal developer tools or automation frameworks. • Familiarity with event-driven architectures. • Previous work in AI-first or automation-heavy product teams.
