Product Marketing Intern

Location: In-Person (New York, NY)

Compensation: $18.00 – $20.00 / hour

Commitment: 25-40 hours/week (Summer 2026), with a transition to part-time during the academic year.

 

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Position Overview

At Eulerity, we are building the future of AI-driven marketing automation. To scale our technology, we need to scale our team with top-tier talent. We are looking for a highly analytical, deeply curious intern with a true builder mentality to join us in our New York office.

This is not a traditional HR internship. This role is designed as a training ground for future Product Managers. You will treat our recruiting pipeline and internal operations like a product—analyzing the data, identifying bottlenecks, testing solutions, and optimizing the "user" (candidate) experience. You will work closely with leadership to recruit the best talent while learning how to build, ship, and scale processes from the ground up.

What You Will Build & Manage

• Executive Presence: Manage LinkedIn strategy for founders and executives to establish Eulerity as a thought leader in AI and Ad-Tech.
• Multimedia & Editorial: Launch and manage a podcast for prospects; oversee the creation of industry insight reports, white papers, and long-form blog content (leveraging AI to accelerate drafting and scale output).
• Newsletter Management: Curate and distribute a regular network newsletter to engage our ecosystem.
• Outbound Strategy: Develop high-converting SDR talk tracks, cold call scripts, and automated email sequences to fuel the sales pipeline.

• Campaign Management: Execute targeted paid demand generation campaigns including ICP-based LinkedIn targeting, direct marketing, AI powered sales dialers, and organic social programs to drive MQLs.
• Agile Messaging: Segment audiences and tailor messaging to drive impact across industry verticals such as Health & wellness, Fitness, Home Improvement, Real Estate, Tutoring.
• Expansion: Create renewal and upsell collateral to support Customer Success in driving account growth and deeper wallet share.

• Attribution & Scoring: Own marketing attribution and lead scoring models to optimize the MQL-to-SQL handoff.
• AI-First Workflow: Build and iterate on AI-driven workflows that automate repetitive marketing tasks, from content production to campaign execution.
• Data-Driven Strategy: Synthesize performance data to optimize campaigns, tying operational metrics directly to revenue outcomes.

Who You Are

• The Builder Mentality: You do not wait to be told what to do. You see broken processes and immediately want to design a system to fix them.
• Future Product Manager: You have a deep interest in technology, product development, and business strategy. You want to learn how to lead cross-functional initiatives.
• Highly Analytical: You make decisions based on data. You are comfortable in Excel/Google Sheets (vlookups, pivot tables) and are eager to learn how to model data effectively.
• Exceptional Communicator: You can context-switch seamlessly between pitching a candidate on Eulerity's vision and presenting a data-backed recommendation to our executive team.
• Commitment: You are ready to dive in full-time (40 hours/week) this summer in our NYC office, with the bandwidth to continue on a part-time basis once the academic year begins.

Why Eulerity?

• Real Mentorship: You will be directly mentored by leadership and gain a front-row seat to how a high-growth AI startup operates.
• Training Ground: The analytical and operational skills you learn here—identifying problems, analyzing data, communicating with stakeholders, and implementing solutions—are the exact skills required to succeed in Product Marketing.
• Immediate Impact: You will not be fetching coffee. The people you recruit and the systems you build will directly impact our company's success.

Logistics

• Summer 2026, with potential to extend based on performance.
• Hybrid out of our NYC office, 4 days per week in person.
• 30-40 hours per week, flexible schedule.
• $18 to $20 per hour.
• Lunch credits and unlimited snacks when in-office.
• Direct mentorship from senior operators on our team.

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