Gemini Verified

Cryptocurrency, Fintech, Financial Services

Product Management Intern (Winter 2027)

New York, NYHybridInternshipJunior / Entry-levelPosted 1 month agoVisa sponsorship available

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Required skills

AI-first
data-driven
quantitative user research
qualitative user research
competitive research
gap analysis
Databricks
product requirements documents
user acceptance testing
release planning

Nice to have

technical fluency
code
technical complexity
startup
hackathon
club

Role summary

Gemini, a global crypto and Web3 platform, is seeking curious, data-driven Product Management Interns for a semester-long program in New York City (January-April 2027). Interns will work 3 days a week in person and will own real product responsibilities from day one, contributing to products with real users and impact. The role emphasizes an AI-first and data-driven approach, involving user research, data analysis from Databricks, drafting PRDs, supporting the project lifecycle, and building cross-functional alignment. Candidates should have a relevant academic background, strong communication skills, a bias for action, structured problem-solving abilities, a growth mindset, and user empathy. Preferred qualifications include technical fluency, prior internship or project experience, and an interest in cryptocurrency.

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Role: Product Management Intern

At Gemini, every team member is the captain of their own ship, trusted to chart new routes and move the mission forward. We're building the future of money and markets, and we're looking for curious, data-driven Product Management Interns to join us at the intersection of product, data, and AI.

This is not a watch-from-the-sidelines internship. From your first week, you'll own a real piece of the work: real products, real users, real impact. No project is too big and no detail too small, and you'll see your work reach real customers.

This will be a semester long internship program with 3 days a week in person at our New York City, NY office from January to April 2027.

Responsibilities:

Be AI-first. Make AI a default part of how you work, using modern tools to move faster, think bigger, and raise the bar for the whole team.

Be data-driven in decision-making. Let evidence lead the way: running quantitative and qualitative user research, conducting competitive research and gap analysis, pulling and analyzing data from Databricks, and turning what you learn into clear, compelling recommendations that support our Engineering teams.

Support the full project lifecycle. Help draft product requirements documents, provide design and development support, run user acceptance testing, and contribute to release planning. For example, you might help design the requirements for Clarissa, our Secure SDLC bot: an automated change-management controls bot that runs on pull requests and their associated Linear tickets to keep compliance evidence auditable.

Build cross-functional alignment. Help shape product vision, write the requirements that get things built, and align engineering and back office / operations teams around a shared direction.

Ship things that matter. Partner with stakeholders on experiences people love and with engineers to launch features into production, then track the metrics to see what worked.

Minimum Qualifications:

A relevant academic background. Pursuing a Bachelor's, Associate's, or Master's degree in Computer Science, Interactive Design, Business, or a related field.

A clear communicator and driver. Outstanding written and verbal communication and interpersonal skills. You work easily across engineering, operations, data, and AI operations, and you can run a weekly project meeting with stakeholders, keep everyone aligned, and drive the group toward a shared goal without needing the title to do it.

A bias for moving fast. If something can be done in five minutes, you get it done right away. For larger deliverables that require focus, you leverage business instincts, hustle, and AI to deliver what would've taken weeks in a matter of days.

A structured problem-solver. You break big, ambiguous questions into orderly pieces, turning large projects into incremental milestones that keep teams moving and progress measurable.

A relentless growth mindset. As a student of the world, you can't go long without exploring something new, you actively seek out and act on feedback, and you treat every project as a chance to get sharper, comfortable being a beginner on your way to becoming an expert.

Agile and adaptable. You're capable of quickly picking up and supporting new concepts and ideas, and ambiguity energizes you. You'd rather propose a direction than wait for one.

A user-focused builder. You have real empathy for people's problems and an instinct for products that delight rather than merely function, holding a high bar for product quality and for experiences that are easy to understand and use.

A foundation in data. A base-level understanding of data analysis and insights that you're keen to build on.

Preferred Qualifications:

Enough technical fluency to hold your own with strong engineers (you don't need to code daily, but you should understand technical complexity, architectural decisions, and accompanying tradeoffs).

Hands-on experience from a prior internship, a startup, a hackathon, a club you led, or a project where you actually built or researched something.

A passion for consumer-first technology.

Knowledge of and interest in cryptocurrencies, cryptography, and/or blockchain technology.

A track record of accomplishing things people said were hard.

Pay Rate: The hourly pay rate for this role is $45/hour in the State of New York. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-GR1

Sample Gemini interview questions

1
Propose a high-level design for a CDN that supports both static and dynamic content caching.
system designmedium
2
If we were building Instagram from scratch today how would you design the backend to handle the image load?
system designmedium
3
Architect a secure ballot processing pipeline that safely authenticates users, registers their vote, and provides a verifiable receipt.
system designmedium
4
How would you architect a secure backend that ingests heavy hospital X-rays and returns machine learning inferences?
system designmedium
5
How would you build the routing logic for a 100-story elevator, and how does that logic shift when prioritizing hospital emergencies versus luxury resident wait times?
system designmedium

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