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. We apply real-time Data Science at scale to accomplish this.
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 8-10 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:
You’ll take deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems. This includes designing distributed systems, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably. You’ll also help elevate the team by mentoring junior engineers and guiding best practices, architecture choices, and technical problem-solving.
Responsibilities
Architect, build, and maintain scalable backend infrastructure in Python
Design resilient APIs, optimize data pipelines, and ensure system reliability
Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
Debug and troubleshoot issues across the stack to ensure reliability and performance
Integrate with major AI APIs, managing performance, cost, and observability
Influence long-term technical direction and backend architecture
Mentor junior and mid-level engineers through code reviews and coaching
Collaborate across the stack to ship product features quickly and reliably
Requirements
7+ years of experience building resilient, performant, and scalable backend systems for user-facing or B2B products
Expertise in Python or similar and distributed systems
Strong database design skills (MongoDB or similar)
Proven experience integrating with third-party APIs at scale
Proficiency with cloud platforms (preferably GCP), observability tools, and CI/CD workflows
Excellent communication and leadership-influence skills
Must be able to work in our NYC office 2–3 days per week (hybrid model)
Nice to Have
Experience with generative AI, LLM APIs, or ML infrastructure
Currently using LLMs to boost engineering workflows
Familiarity with message queues or event-driven systems
Prior startup or high-growth company experience
Our Tech Stack: Python, FastAPI, MongoDB, REST APIs, Google Cloud (GCP), GitHub, Integrations with OpenAI, Google Gemini, Anthropic’s Claude, LLama, DeepSeek, + other LLM APIs, Vue.js, Javascript.
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.
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
What We Do
Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search.
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: a new category and massive market opportunity.
We analyze over one million AI responses monthly per brand. Using applied AI and data science at scale, we give brands statistical confidence to bet their strategy on our data. 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 playbook — and we need engineers who get excited about unsolved problems.
What You'll Find Here: A scrappy, data-driven team where ownership isn't a buzzword — it's how we operate. You'll ship features enterprise customers bet their visibility on. Early stage means your decisions shape everything: product roadmap, technical architecture, go-to-market strategy.
We're hiring across engineering, client success, and business development. Join before the category explodes, not after.
Why This Matters: The shift from search to AI discovery is as fundamental as TV to digital. You're building the infrastructure for how brands get discovered in an AI-first world. Early movers won't just grow — they'll define the entire category.
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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