From earned visibility to paid retargeting, Evertune powers every step in one platform. Backed by Felicis.
About the role
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
What they're looking for
- 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
More about this role
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...
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