Lead Software Engineer, Full Stack
Job description
About the role
Evertune is building the first AI discovery platform for modern marketers where large language models act as the primary source for recommendations. The role owner defines the technical strategy for both frontend and backend systems that turn AI black-box outputs into structured insights. You will architect solutions that help brands understand how AI perceives them and how they measure against competitors. This position requires deep collaboration with product and design to translate ambiguous AI behaviors into clear user workflows. You will mentor junior engineers while maintaining a high standard of code quality and system performance. The role involves shaping the engineering culture in New York as a visible leader on the ground. You will own the lifecycle of features from initial discovery through production deployment and iteration. This position is ideal for someone who thrives on building systems that make AI-driven marketing actionable and measurable.
Key facts
What you'll do
Architect the full stack architecture for Evertune's AI discovery platform, balancing scalability with rapid experimentation.
Lead the implementation of intuitive user interfaces that translate complex AI insights into clear, actionable marketing decisions.
Design and evolve backend services and data pipelines that reliably process AI outputs and synchronize them with frontend workflows.
Partner with product managers to define API contracts and integration strategies that connect AI discovery features with existing brand platforms.
Champion code quality through rigorous reviews, pair programming, and mentorship of junior engineers on the New York team.
Collaborate with cross-functional teams to run experiments that validate hypotheses about AI behavior and user engagement.
Refactor legacy components to improve performance, accessibility, and responsiveness across web and embedded marketing tools.
Own the frontend component library and establish standards that ensure consistency across all product surfaces.
Coordinate with data and infrastructure teams to optimize the latency and reliability of AI response pipelines.
Drive the technical roadmap for the NYC office, helping to define priorities that align with company-wide product goals.
Ensure all implementations adhere to security best practices and data handling standards required for enterprise marketing platforms.
Lead debugging and incident resolution for critical production issues affecting customer workflows.
Translate ambiguous product requirements into technical specifications that guide frontend and backend development.
Support hiring efforts in New York by interviewing candidates and defining the technical bar for new engineering hires.
Requirements
Must be based in the NYC area and able to work in-office three days per week at the Flatiron location.
Must be authorized to work in the United States without the need for current or future visa sponsorship, including U.S. citizens and Green Card holders.
Must have extensive experience building full stack applications that integrate AI features into production products.
Must demonstrate strong ownership, judgment, and the ability to lead technical direction without direct supervision.
Must have a history of mentoring engineers, conducting code reviews, and helping junior team members grow their skills.
Must be comfortable making decisions in ambiguous environments and turning high-level problems into executable product strategies.
Must have deep expertise in modern frontend frameworks, state management, and component-driven UI architecture.
Must have experience designing and maintaining scalable backend services, databases, and API layers that serve AI-driven applications.
Nice to have
Experience working with large language models, embeddings, or AI inference platforms in a production environment.
Background in SEO, marketing technology, or data-driven advertising platforms.
Contributions to open source projects or public-facing applications that demonstrate strong engineering craftsmanship.
Experience building tools used by non-technical stakeholders to interpret complex data sets.
Practical notes
Employees are required to work in-office with the team 3x/week at the Flatiron location in New York City.
This is a full-time role eligible for standard employment benefits as required by U.S. law.
Only candidates authorized to work in the United States without sponsorship will be considered.