GTM Engineering Intern

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 About this role: 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 at the absolute epicenter of our business - the intersection of Engineering and all our go-to-market teams (Sales, Marketing, Customer Success). 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 Sales and Marketing. Examples could include automated prospect research, outbound email generation, and lead scoring Partner with GTM stakeholders and leadership to identify inefficiencies and automate repetitive workflows Build prototypes using LLMs, embeddings, and retrieval techniques to enhance go-to-market 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 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. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.