Lead QA Engineer

Reposted 9 Days Ago
2 Locations
In-Office
Senior level
Artificial Intelligence • Marketing Tech • Business Intelligence • Conversational AI • Generative AI • Big Data Analytics • SEO
Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search.
The Role
The Lead QA Engineer will build and lead the QA function, focusing on both manual and automated testing for web applications, collaborating closely with engineering, product, and design teams to ensure quality and efficiency in releases.
Summary Generated by Built In
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.

Backed by top-tier VC investors and trusted by forward-thinking brands, 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 – small, focused, and deeply collaborative. We’re currently a distributed group of ~10 engineers working across Seattle and New York, with a few contractors supporting specialized projects. While we span time zones, we operate with tight alignment and shared urgency. Our engineers ship fast, sweat the details, and genuinely enjoy building together. As one of the earliest hires on the team, you'll be helping to shape not just how we code – but how we grow, communicate, and scale.

Your Role:

As Evertune’s first full-time QA hire, you’ll own quality assurance from the ground up – building and leading our QA function, shaping processes, and ensuring everything we ship meets enterprise-grade standards. You’ll combine hands-on UI manual testing with the design and implementation of UI automation, helping us move fast without sacrificing quality.

You’ll work closely with engineering, product, and design to test new features, catch issues early, and improve release confidence. You’ll have the freedom to recommend and implement the best automation tools for our stack. This is a high-impact role for someone who loves building clean, reliable systems and has the leadership chops to grow a team over time.

This is a hybrid role that requires 3 days per week in our NYC or Seattle office. Candidates must currently be based in either of these locations.

Requirements:
  • 5+ years of QA experience, including both manual and automated testing for complex web applications

  • Proven experience running a QA function solo or as part of a small, high-impact team

  • Experience in a startup or high-growth SaaS environment

  • Strong understanding of testing methodologies, tools, and processes

  • Hands-on experience with QA automation tools (tool-agnostic; we’re open to your recommendations)

  • Ability to write clear, concise test cases and defect reports

  • Knowledge of performance and accessibility testing best practices

  • Strong leadership and mentorship skills, with the ability to grow and guide a team

  • Excellent communication skills and a collaborative mindset

  • Background in testing analytics, SEO, or marketing technology products is a plus

  • Must be currently based in Seattle or NYC, and willing to work 3 days per week in office.

Tech Stack:

Vue, Javascript, Python, FastAPI, MongoDB, REST APIs, Google Cloud, GitHub, Chrome, Safari.


Culture & Values

At Evertune, we’re building more than just groundbreaking AI products—we're building a culture where innovation, ownership, and empathy thrive. Here’s what we value:

  • Collaboration & Kindness: We’re ambitious, but never at the expense of being respectful and inclusive.

  • Bias for Action: We move fast, iterate quickly, and prefer learning through doing.

  • Customer Obsession: Our product decisions are anchored in real-world customer needs and feedback.

  • High Standards: We care deeply about quality—in our code, our design, and our communication.

  • Ownership Mindset: Everyone is trusted to lead initiatives, make decisions, and own outcomes.

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.

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.

Top Skills

Chrome
Fastapi
Git
GCP
JavaScript
MongoDB
Python
Rest Apis
Safari
Vue
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The Company
HQ: New York, NY
30 Employees
Year Founded: 2024

What We Do

Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot.

Every day hundreds of millions of people are asking ChatGPT, Claude, and Gemini for recommendations. Most brands have no idea if they're winning these conversations or invisible in them.

That's the problem we're solving.

What We Do: We're building the first marketing platform for AI search as a channel. We show enterprise brands exactly where they stand when customers discover them through AI — then give them the precise playbook to show up stronger. This is Generative Engine Optimization, also known as AI SEO.

We analyze over one million AI responses monthly per brand. Using applied AI and data science at scale, we give brands statistical confidence in our actionable insights. We decode what gets brands mentioned more and ranked higher, provide reliable brand monitoring and competitive intelligence, then deliver actionable content strategies that move the needle. Our AI SEO and AI search engine optimization tools are built for how LLMs actually work.

The Opportunity: We're a Series A startup, 30 people, building category-defining infrastructure. Founded in 2024 by the team that helped build The Trade Desk and pioneered programmatic advertising, we're doing it again. We've shepherded an entire industry through transformation before and know how to build the tools that define what comes next.

The Engineering Challenge: This is applied AI and data science at the hardest, most interesting scale. How do you systematically query millions of LLM responses? Build statistical models that predict AI behavior? Turn unstructured AI outputs into structured insights? We're inventing the play

Why Work With Us

We're 30 people inventing a category that didn't exist a year ago. Scrappy startup culture, real ownership, hard applied AI problems. Founded by The Trade Desk veterans who pioneered programmatic advertising. Early stage means your work defines the product, the market, and the future of how brands get discovered in AI.

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