Lead Software Engineer, Full Stack

EvertuneNew York, NY
$150,000 - $240,000Hybrid

About The Position

As a Lead Full Stack Engineer at Evertune, 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 - someone who can build across the stack, lead by example, and help raise the bar for a growing team. You’ll contribute directly to core product development while helping provide technical leadership for engineers around you, especially more junior team members in New York. We’re looking for someone who brings strong ownership, sound judgment, and mentorship instincts – someone who has led, influenced technical direction, and helped others grow. This role is ideal for an engineer who wants to remain deeply hands-on while also helping create structure, clarity, and momentum across a fast-moving product and engineering organization. You should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.

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 Haves

  • Prior people management experience in a hands-on startup environment
  • 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

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

Benefits

  • Competitive Equity
  • Medical/Dental/Vision Coverage
  • Generous Paid Time Off
  • Commuter Benefits
  • stock options
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