Senior Software Engineer, Full Stack (NYC)

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 be joining Evertune’s software engineering team - a tight-knit, high-velocity group, with most of us based in Seattle and New York. While we span time zones, we operate with tight alignment and shared urgency. Our engineers optimize for high velocity: we ship fast, sweat the details, and genuinely enjoy building together.

As a foundational hire, you'll be helping to shape not just how we code – but how we grow, communicate, and scale.

Your Role:
In this role, you’ll take ownership of building polished, performant, and intuitive user interfaces while contributing to backend systems that bring them to life. You’ll have a strong frontend focus (Vue.js/Vuetify) but will also work in Python-based backend services to ensure smooth integration and performance.

You’ll collaborate closely with design, product, and backend engineers to craft seamless, data-rich experiences for marketers. Beyond building, you’ll help elevate the team by mentoring junior engineers and guiding best practices, architecture choices, and technical problem-solving.

Responsibilities:

• Architect and implement frontend systems using Vue.js and Vuetify

• Contribute to backend features and API design in Python

• Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic

• Partner with design and product to create user-focused features and interfaces

• Debug and troubleshoot issues across the stack to ensure reliability and performance

• Establish best practices for performance, accessibility, and responsive design

• Mentor junior and mid-level engineers, guiding technical and career growth

• Collaborate across disciplines to deliver full-stack features quickly and reliably

Requirements:

• 7+ years of professional software engineering experience, ideally with a frontend emphasis in full stack contexts building resilient, performant, and scalable products for user-facing or B2B environments

• Expertise with a modern JavaScript framework (Vue.js preferred) and backend development in Python or similar

• Proven experience building complex, high-performance UIs

• Strong API integration and design skills

• Familiarity with cloud platforms (preferably GCP) and CI/CD workflows

• Excellent collaboration, communication, and mentorship skills

• Must be able to work in our NYC office 2–3 days per week (hybrid model)
  

Nice to Have:

• Experience building analytics dashboards or data-heavy applications

• Currently using LLMs to boost engineering workflows

• Interest in AI/LLM-powered products

• Exposure to MongoDB or other NoSQL databases

Our Tech Stack: Vue.js, Javascript, Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs.

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.

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.