Senior Software Engineer, Full Stack

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 Role

As a Senior Full Stack Engineer at Evertune, you'll build across the core product experience – from user-facing workflows to the backend systems and APIs that power them. We're looking for a strong generalist who can move fluidly between frontend and backend, make smart tradeoffs, and ship thoughtful, high-impact product work in a fast-moving environment.

You'll contribute directly to core product development and partner closely with product, design, and engineering to turn complex ideas into software that feels intuitive, useful, and differentiated. This role is ideal for an engineer who likes owning problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like.

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 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
• Help create cohesion across multiple product areas into a unified, intuitive product experience
• 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, Seattle, or Denver area and able to work in-office 2-3x/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
• 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 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

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: $120,000 - $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.