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 www.astronomer.io.

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.

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  Ship internal tools and AI-powered workflows that support Sales and Marketing. Examples could include automated prospect research, outbound email generation, and lead scoring

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

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  Build prototypes using LLMs, embeddings, and retrieval techniques to enhance go-to-market execution

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  Turn high-impact manual processes into scalable systems

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  Test new product features and provide structured feedback to engineering

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

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  Explore novel applications of AI within data orchestration and revenue operations

• 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

• 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.