About the job
Important Note: We can only consider candidates who are eligible to work in the United States without visa sponsorship. This includes U. S. citizens and Green Card holders.
About Evertune AI:
Evertune is at the forefront of creating the first AI discovery platform tailored for modern marketers. In a landscape where large language models (LLMs) are becoming essential for insights and recommendations, we empower brands to decipher AI narratives about their performance, competitive positioning, and visibility in AI-driven responses. Our platform transforms complex AI behaviors into actionable strategies, enabling marketing teams to make rapid and informed decisions that fuel growth.
Founded by industry veterans who played pivotal roles in scaling The Trade Desk into a premier ad tech leader, we possess extensive knowledge in digital advertising, data analytics, and high-growth scenarios. We are trailblazing a new territory that intersects AI, SEO, and brand strategy.
With a $15M Series A funding round led by Felicis Ventures, alongside contributions from Eniac, NextView, Roger Ehrenberg, and key figures from OpenAI, Google, Meta, and Uber, we are positioned for rapid growth as we develop the first enterprise-grade AI marketing suite.
Supported by top-tier venture capitalists and trusted by innovative brands, we have the capacity to scale — but our true essence lies in our culture. We act swiftly, think creatively, and embrace the best ideas regardless of hierarchy. If you are passionate about shaping the future of brand growth in the AI era, you will excel here.
Your Team:
You will be integrating into Evertune's software engineering team, a close-knit and dynamic group, primarily based in Seattle and New York City. Despite spanning different time zones, we maintain strong alignment and shared urgency. Our engineers are focused on delivering at high speed: we prioritize rapid deployment, meticulous attention to detail, and genuinely enjoy collaborative development.
As a key early hire, you will influence not only our coding practices but also our growth strategies, communication methods, and scaling processes.
Your Role:
You will assume deep technical ownership of the backend systems that drive our AI Discovery platform, working at the cutting edge of evaluating and applying LLMs to real-world challenges. This encompasses designing distributed systems, defining our cloud and infrastructure strategies, optimizing AI integrations, and making architectural choices that facilitate swift and reliable scaling.
You are primarily a software engineer — someone with a profound understanding of building robust software systems — but you are equally enthusiastic about working at the infrastructure level. You appreciate how a solid and scalable infrastructure can enhance software performance.

