Lead Software Engineer, Full Stack

Responsibilities

• Own and lead the development of key areas of Evertune’s product experience across frontend, backend, and APIs, with a particular focus on UI craft, visual quality, and overall polish
• Lead and mentor 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
• Own and evolve frontend architecture, component systems, and code standards, while contributing to broader full stack architecture decisions
• 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
• Help grow a team culture that values speed, craft, ownership, and candor

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, with deeper strength on the frontend side
• 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
• Must be 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

Nice to Have

Culture & Values

Compensation Philosophy & Benefits:

• Our salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.
• The annual base salary range for this position is: $150,000 - $240,000 + stock options.
• Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.
• Evertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.