Product Management Intern

Location

New York City

Employment Type

Intern

Location Type

On-site

Department

Engineering

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

Product Management Intern

Come join us for a paid, high-impact summer 2026 internship in NYC!

Ready to build the systems that drive a high-growth company? You'll sit directly in our Product team. We're looking for someone to build AI-powered workflows and high-leverage tools that turn big ideas into working, revenue-driving systems. It’s a chance to take full ownership, ship real code, and experiment with the latest AI tech.

What you get to do:

Ship internal tools and AI-powered workflows that support Product and Product Operations. Examples could include automated contract onboarding, triage of customer requests, and internal Q&A.

Partner with Product stakeholders and leadership to identify inefficiencies and automate repetitive workflows

Build prototypes using LLMs, embeddings, and retrieval techniques to enhance product execution

Turn high-impact manual processes into scalable systems

Test new product features and provide structured feedback to engineering

Contribute production-quality code in Go, Python, or React/TypeScript

Explore novel applications of AI within data orchestration and revenue operations

What you bring to the role:

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Comfortable writing production-quality code in at least one language (Python, Go, JavaScript, TypeScript, etc.)

Interested in the intersection of AI, automation, and business impact

Excited about building tools that drive measurable outcomes

Strong problem-solving skills and comfort working with ambiguity

Excellent communicator who can collaborate cross-functionally

Bonus points if you have:

Built or experimented with AI agents or automation workflows

Experience working with LLM APIs (OpenAI, Anthropic, etc.)

Built internal tools or revenue-supporting systems

Familiarity with building reports or other analytics

Contributed to open-source projects

Experience building prototypes in fast-moving environments

Familiarity with Apache Airflow or data engineering concepts

The hourly pay range for this position is $30–$40 per hour. Actual compensation will be determined based on skills, experience, and qualifications.