PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.

About Evertune AI

Evertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations – we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.

Founded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.

We raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.

Backed by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale – but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.

Your Team

You’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product.

As an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale. You’ll also play an important role in helping shape our engineering presence in New York - serving as a key on-the-ground leader for the team in our NYC office as we grow.

You must be based in the NYC area and available to work in-office with the team 3x/week at our Flatiron location.

Your Role

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 person will serve as a key engineering lead in NYC - helping create energy around the office, attract strong local talent, and partner closely on hiring as we build out the team

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.

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

• Help 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 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

• 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

• 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

Culture & Values

At Evertune, we’re building more than just groundbreaking AI products – we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:

• Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.

• Velocity: We move fast, iterate quickly and prefer learning through doing.

• Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.

• Openness: We welcome different perspectives and challenge each other’s ideas

• Ownership: We trust people to own decisions and outcomes.
  

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: $200,000 - $300,000 + 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.