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.
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.
We’re hiring our first Financial Controller to build the financial backbone of Evertune from the ground up. You won’t just manage numbers – you’ll design and own the systems that keep our business running, growing, and ready to scale.
Billing is the top priority – especially managing our fast-growing, usage-based invoicing process. But you'll also own the rest of our day-to-day financial operations, including sales commissions, vendor payments, international taxes, and other finance functions. You’ll partner closely with our fractional CFO at first, but the goal is for you to fully take over the function and make it your own.
This is a role for a builder. If you’re a Senior Accountant, Accounting Manager, or Assistant Controller at a high growth company who’s ready to level up, take ownership, and leave things better than you found them – we want to meet you!
This role requires a minimum of 3 days per week onsite in our NYC office (Flatiron). Candidates must currently be based in the New York City area.
Own and Build the Financial Engine
Take full ownership of billing, with a focus on usage-based invoicing and high-touch client interactions
Build scalable systems and processes for AP, AR, billing, commissions, reconciliations, and reporting
Reconcile usage data from internal dashboards and transform it into accurate invoices
Manage billing platforms like Stripe, Ramp, QuickBooks, Excel, and client procurement tools like Bill.com, Coupa, and Tipalti
Work directly with clients and sales to handle billing exceptions, usage disputes, and reconciliation questions
Partner with leadership and our fractional CFO to support month-end close, cash flow tracking, and financial reporting
Manage vendor payments, payroll, and compliance workflows
Navigate international tax requirements across our global client base
Spot inefficiencies, design better workflows, and leave every process stronger than you found it
Collaboration
Partner closely with executive leadership, Chief of Staff, and external vendors to streamline back-office operations
Support ad hoc projects from leadership – financial cleanups, spend reviews, contract updates, etc.
While you own finance, you’ll work closely with our Chief of Staff, who will lead ops functions like insurance renewals, benefits, and onboarding
5–8 years of accounting or finance experience, with at least 2+ years in a tech company or SaaS startup environment
Strong working knowledge of AR/AP, billing, commissions, vendor payments, payroll, and compliance
Proven experience managing or running usage-based billing systems, preferably with Stripe, QuickBooks, Excel, and procurement platforms like Bill.com, Coupa, or Tipalti
Comfortable owning messy, high-impact workflows – and making them clean, repeatable, and scalable
High level of fluency in spreadsheets and confidence manipulating billing and usage data
Strong communicator who can work across teams and with clients to resolve billing questions or disputes
Experience working closely with executive leadership on monthly close and reporting
Highly organized, detail-obsessed, and accountable – you don’t drop balls
Comfortable wearing multiple hats in an early-stage startup environment
You’re based in the NYC area and available to be in the office at least 3 days per week
Nice to Have (but not required)
Forecasting and financial modeling experience
Experience managing or optimizing revenue operations
International accounting or tax exposure
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.
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 expected annual base salary for this role is between $125,000–$180,000. Stock options are also included as part of the total compensation package and will be commensurate with the candidate’s experience and impact.
This is an exempt position.
Benefits include top-tier Medical/Dental/Vision Coverage, HSA/FSA, Generous Paid Time Off, commuter benefits.
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 across ChatGPT, AI Overview, AI Mode, Gemini, Claude, Perplexity, Meta, DeepSeek and Copilot.
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, also known as AI SEO.
We analyze over one million AI responses monthly per brand. Using applied AI and data science at scale, we give brands statistical confidence in our actionable insights. 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 play
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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