Evertune provides a Generative Engine Optimization and AI marketing platform that measures and analyzes brand discovery across AI-powered search models by prompting large-scale queries and delivering repeatable enterprise data.
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 join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York and Seattle. We care deeply about craft, but we know great products are built through iteration – we value momentum, clear thinking, and people who turn ambiguity into product. As an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale. You must be based in the NYC or Seattle area and available to work in-office with the team 2-3x/week. (NYC office is located in Flatiron, Seattle office is located in U District) YOUR ROLE In this role, you’ll build the backend systems that power our core product experience - from APIs and business logic to the data flows and integrations behind AI-native workflows. We’re looking for a product-minded backend engineer who can translate complex requirements into clean, scalable services and help turn cutting-edge AI capabilities into reliable, intuitive software for customers. You’ll contribute directly to core product development and partner closely with product, design, and engineering to build systems that are thoughtful, performant, and built for iteration. This role is ideal for an engineer who enjoys owning backend problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like from the backend out. 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 build key backend systems that power Evertune’s product experience - Design, build, and maintain scalable backend services, APIs, and application logic in Python - Ship product-facing backend features that support customer workflows, insights, and AI-driven experiences - Design resilient APIs, optimize backend performance, and improve system reliability as product usage grows - Integrate and test third-party APIs, including LLM providers like OpenAI, Anthropic, Google, and others - Collaborate closely with product, design, and engineering to turn complex requirements into clean, reliable systems - Model and manage data in ways that support evolving product needs and scalable application development - Debug and troubleshoot issues across backend services, integrations, and production systems - Influence backend architecture and technical decisions that help the team move quickly and sustainably - Contribute to a team culture that values speed, craft, ownership, and candor REQUIREMENTS - Must currently be located in the NYC or Seattle area and able to work in-office 2-3x/week - 7+ years of experience building and shipping production software for user-facing or B2B products, with substantial depth in backend engineering - Experience building scalable backend systems in Python or similar languages, with Python highly preferred - Strong fundamentals in system design, data modeling, testing, debugging, and performance optimization - Track record of building reliable product-facing services and integrations that directly support customer workflows - Comfortable working across APIs, databases, cloud infrastructure, observability, and CI/CD - Strong product instinct and a collaborative approach to working with product, design, and frontend engineers - AI-forward and actively using AI tools / LLMs to improve speed, quality, and engineering leverage - Strong communication skills, technical judgment, and comfort operating in a fast-moving startup environment Nice to Have - Experience building analytics products, data-heavy applications, or complex B2B workflows - Experience integrating and operating LLM or generative AI systems in production - Familiarity with MongoDB or other NoSQL databases - Experience with event-driven systems, queues, or streaming architectures - Familiarity with cloud infrastructure, containerized services, or infrastructure-as-code - Early-stage startup or high-growth company experience 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 val