Lead Engineer, Full Stack

About the role

Evertune is building the first AI discovery platform for modern marketers. As a Lead Full Stack Engineer, you'll help shape the future of how marketers interact with AI. This is a hands-on player/coach role for someone who thrives at the intersection of product, engineering, and execution.

Responsibilities

• Own and lead the development of key areas of Evertune’s product experience across frontend, backend, and APIs
• Lead and manage junior engineers through thoughtful code reviews, pairing, and day-to-day technical guidance
• Design, develop, and ship intuitive, high-performance user experiences for cutting-edge AI products
• Build and evolve backend services and application logic that power core product workflows
• Help create cohesion across multiple product areas into a unified, intuitive user experience
• Collaborate closely with product, design, and engineering to shape how AI changes UI/UX, and experiment with new ways to make insights clear, actionable, and impactful
• Partner with engineering teammates to design clean APIs and ensure seamless integration across the stack
• Create clarity and alignment across the engineering team and cross-functional partners
• Champion performance, accessibility, responsiveness, and overall product quality across all products
• Grow Evertune’s engineering team in NYC by serving as a strong local leader - partnering on hiring, attracting great talent, helping new engineers ramp, and fostering a high-performing in-office culture

Requirements

• Must currently be located in the NYC area and able to work in-office 3x/week
• 7+ years experience building and shipping production software as a full stack engineer
• Proven ability to lead projects and drive execution in a fast-moving startup environment
• Experience mentoring engineers and helping raise the level of the team; prior formal people management is a plus, but not required
• Deep expertise with modern JavaScript frameworks
• Strong experience building data-rich, intuitive interfaces and thinking creatively about how to make complex information clear and actionable
• Experience building backend services and working with Python-based systems or similar
• Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring
• Forward-thinking about how AI is changing product development and UI/UX – whether that’s experimenting with AI-powered interfaces, incorporating LLMs into workflows, or building AI-native products
• Ai-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency
• Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders
• Strong technical judgment and the ability to influence direction without unnecessary process or hierarchy
• Experience interviewing and hiring engineers

Nice to Have

• Prior people management experience in a hands-on startup environment
• Experience partnering closely on engineering hiring and helping close strong candidates
• Familiarity with MongoDB or other NoSQL databases
• Experience building analytics products, data-heavy applications, or complex B2B workflows
• Founding engineer or early-stage startup experience
• Experience designing dynamic, adaptive interfaces for AI, analytics, or workflow products
• Exposure to the AI / LLM ecosystem or interest in large-scale model behavior
• Contributions to open-source projects or developer communities