Product Manager, GEO

Reposted 8 Days Ago
New York City, NY, USA
Hybrid
130K-180K Annually
Mid level
Artificial Intelligence • Marketing Tech • Business Intelligence • Conversational AI • Generative AI • Big Data Analytics • SEO
Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search.
The Role
As a Product Manager, you will lead analytics and reporting capabilities for an AI discovery platform, focusing on product refinement and improving user experiences. You'll analyze user behavior, drive product decisions based on data, and collaborate closely with engineering, design, and sales teams to enhance product quality and impact.
Summary Generated by Built In
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, big data analytics, 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 report directly to our SVP of Product and join a small, highly collaborative team that works very closely across product, engineering, design, data science, client services, sales, and leadership.

Priorities move quickly here – we ship often, revisit the roadmap frequently, and make decisions with new customer and market input every week. Product at Evertune is highly cross-functional and highly visible across the company, so the right person needs to be comfortable operating with urgency, context-switching when needed, and working directly with teams across the business to keep momentum high.

You’ll be joining a team that is becoming more specialized over time, but still operates with a strong startup mentality. There is plenty of room for ownership, and success in this role will come from someone who is excited to step into products already in motion, bring more clarity and polish to them, and help raise the overall level of execution across the team. You must be based in the NYC area and available to work in-office with the team 3x/week at our Flatiron location.

Your Role

As a Product Manager at Evertune, you’ll work on products that sit at the intersection of AI, search, content, and digital visibility – including dashboards, reporting experiences, data integrations, backend systems, and user-facing workflows that help marketers understand and improve how they appear across AI-powered platforms.

You’ll own core areas of our AI discovery platform with a particular focus on analytics, product refinement, and execution. We’re looking for a PM who can take existing solutions to the next level, and help launch net new capabilities. You should be excited to get into the weeds: getting user feedback, analyzing results, figuring out why certain behaviors are happening in the product, partnering with design and engineering on solutions, talking to customers directly, and making improvements that meaningfully raise product quality and impact.

This role is a strong fit for someone who has worked on analytics-heavy platforms, especially in SEO, content marketing, growth marketing, product-led growth, PR tech, digital intelligence, or adjacent enterprise martech categories. Experience with enterprise and mid-market customer needs is especially important.

Responsibilities
  • Own core analytics and reporting capabilities, helping to scale AI data insights to an unprecedented level.

  • Get deep into product and customer data to understand what is driving outcomes, where users are getting stuck, and what improvements will have the biggest impact

  • Translate analysis into action – identifying what needs to change in the product and working closely with engineering and design to ship improvements quickly

  • Step into in-flight work across both frontend and backend surfaces, helping bring structure, momentum, and product clarity to projects already underway

  • Improve core experiences such as dashboards, reporting, workflows, and user-facing product details that help customers better understand and act on Evertune’s insights

  • Work closely with client services, sales, and customers themselves to gather feedback, validate priorities, and ensure the team is building products that solve real problems

  • Help the team maintain speed while increasing rigor - bringing better organization, sharper product thinking, and more follow-through without adding unnecessary process

  • Sweat the details, from data quality to UX to how product decisions are documented and handed off, so that strong ideas become strong shipped products

  • Operate effectively in an environment where priorities may shift every couple of weeks and where the roadmap continues to evolve as the company grows

  • Contribute to and become a thought leader in emerging areas across AI discovery, search, shopping, and agent-driven experiences, developing a clear POV on how brands can build AI into a marketing channel

Requirements
  • 4–7 years of product management experience, ideally at a fast-moving startup or growth-stage technology company

  • Strong AI fluency and a clear track record of using AI tools in day-to-day product work

  • Demonstrated ability to work hands-on with product, customer, and performance data – able to understand why results are happening and translate that analysis into product decisions

  • Experience building or improving analytics-heavy products, including dashboards, reporting surfaces, insight tools, or workflow software, ideally with large and complex datasets

  • Strong cross-functional leadership skills, with experience working closely across engineering, design, sales, and client services

  • Direct experience working with customers and using customer feedback to shape product decisions and prioritization

  • Strong execution instincts and high attention to detail – someone who notices when a chart is off, a workflow is clunky, or a product experience is not fully buttoned up

  • Comfortable stepping into products and projects already in motion and driving them forward across both frontend and backend work

  • Experience building product experiences that scale adoption and engagement rates

  • Able to partner effectively with engineers, create clarity, and help teams move quickly without adding unnecessary process

  • Comfortable operating in a high-velocity environment where priorities shift, the roadmap evolves frequently, and the team ships constantly

  • Experience building for enterprise and mid-market customers, with a strong understanding of the level of quality, usability, and functionality they expect

  • Based in New York City and available to work in-office 3x/week at our Flatiron location.

Nice to Have

  • Experience in SEO, organic marketing tech, content marketing tech, PR tech, or adjacent analytics platforms

  • Familiarity with GEO, AI search, AI-powered discovery, shopping, or agent-driven experiences

  • Experience working in a product lead growth environment, with a track record of building features that compound growth

  • Technical experience in python, developing with Claude Code, performing data analytics in BigQuery, building and working with data APIs
    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.

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 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.


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.

The annual base salary range for this position is: $130,000 - $180,000 + 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.


Skills Required

  • 4-7 years of product management experience
  • Strong AI fluency and experience with AI tools
  • Experience building or improving analytics-heavy products
  • Strong cross-functional leadership skills
  • Direct experience working with customers
  • High attention to detail
  • Experience building product experiences for enterprise and mid-market customers
  • Based in New York City
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The Company
HQ: New York, NY
30 Employees
Year Founded: 2024

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. 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, 40 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 40 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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