Candidate
Employer
Product Management Intern – AI Workflow Automation
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Job Description
Product Management Intern | Astronomer
The Tone:
This is a paid, high-impact summer 2026 internship at Astronomer, located in NYC. 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. They accelerate building reliable data products that unlock insights, unleash AI value, and power data-driven applications. This role offers the chance to directly contribute to the Product team by building AI-powered workflows and impactful tools that transform big ideas into functional, revenue-generating systems.
The TL;DR
• Role: Internship
• Type: Seasonal
• Location: In-person, New York, NY
• Pay: $30–$40 hourly
• Team: Product team
• Mission: Build AI-powered workflows and impactful tools that convert big ideas into working, revenue-driving systems.
• Tech Stack: Go, Python, React/TypeScript, LLMs, embeddings, retrieval techniques, OpenAI, Anthropic, Apache Airflow
What You’ll Actually Do
• Ship internal tools and AI-powered workflows that support Product and Product Operations.
• 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.
• Contribute production-quality code in Go, Python, or React/TypeScript.
The Must-Haves
• Background: Student currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 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, and excited about building tools that drive measurable outcomes.
• Skills: Strong problem-solving skills, comfort working with ambiguity, and excellent cross-functional communication abilities.
• Bonus: Built or experimented with AI agents or automation workflows; experience working with LLM APIs (OpenAI, Anthropic); 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.
