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Seattle, Washington, United States
Hybrid
Not Available
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.
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.
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)
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.
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
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
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.
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.
The annual base salary range for this position is: $120,000 - $300,000 + stock options.
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.