Senior Software Engineer, Full Stack

About the role

Evertune is building the first AI discovery platform for modern marketers. We help brands understand AI's impact on their strategies and performance. Our mission is to empower marketing teams with actionable insights to drive growth.

Responsibilities

• Own and develop key areas of Evertune’s product experience across frontend, backend, and APIs
• Build and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations
• Design, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products
• Build and evolve backend services and application logic that power core product workflows
• Collaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences
• Contribute to frontend architecture, backend design, and code standards across the stack
• Partner with engineering teammates to design clean APIs and ensure seamless integration across systems
• Debug and improve performance, reliability, responsiveness, and overall product quality
• Contribute to a team culture that values speed, craft, ownership, and candor

Requirements

• Must currently be located in the NYC or Seattle area and able to work in-office 3x/week
• 7+ years experience building and shipping production software as a full stack engineer
• Strong experience working across modern frontend systems and backend services
• Deep expertise with modern JavaScript frameworks
• Experience building backend services and working with Python-based systems or similar
• Strong product instinct and a track record of building thoughtful, user-facing software
• Strong API design and integration skills
• Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring
• Forward-thinking about how AI is changing product development - whether that’s incorporating LLMs into workflows, building AI-native products, or using AI tools to move faster and improve quality
• 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 operate effectively in a fast-moving startup environment

Nice to Have

• Familiarity with MongoDB or other NoSQL databases
• Experience building analytics products, data-heavy applications, or complex B2B workflows
• Experience building polished, intuitive user-facing product experiences
• Early-stage startup or founding engineer experience
• Exposure to the AI / LLM ecosystem or interest in large-scale model behavior
• Contributions to open-source projects or developer communities