GTM Engineer (Intern, 6-Month Contract) at Air – New York, New York

Air is a Creative Ops System for creative teams. Our product automates the mindless tasks that creatives and marketers do every day to manage content and unlocks creativity through image recognition, automated versioning, and approval workflows. We launched in March 2021 and have raised +$70m from world-class venture capital groups including Avenir, Tiger Global, Headline Ventures, Lerer Hippeau, WndrCo, and Slack Ventures.
This role requires in-office attendance at least 3 days/week in New York City or Toronto.
The Role
As a GTM Engineer Intern, you'll work directly with our GTM Engineer to design and build the systems that power our outbound motion and support our sales team.
You'll be writing code, building real tools, and shipping things that are actively used by the business — all in service of how we go to market. This role sits at the intersection of engineering and pipeline, so you'll develop both the technical skills and the GTM context to understand why the work matters.
Core Responsibilities
GTM Engineering is a growing discipline, and this role gives you real exposure to it. You'll work on systems that are actively used by the business and develop a strong understanding of the modern GTM stack.

• Automated outbound systems — build and iterate on enrichment pipelines, lead scoring logic, and outbound sequences
• Web scraping & data collection — build scrapers to gather prospect data, company signals, and other inputs that feed our outbound and enrichment workflows
• Internal sales tooling — develop lightweight apps and dashboards that help the sales team operate more effectively
• AI/LLM integrations — integrate models like Claude and GPT into GTM workflows to automate personalization, scoring, and research tasks
• Workflow automation — connect tools across our stack (Clay, n8n, Zapier, Salesforce) into reliable, repeatable systems

Requirements

• Currently pursuing or has a degree in Computer Science or a related engineering field
• Comfortable writing code in Python or JavaScript, and building in low-code/automation tools — you know when to use each
• Familiar with agentic coding tools like Claude Code
• Some exposure to Clay, Salesforce, or automation platforms (Zapier, n8n, Make) is a plus
• Self-directed and comfortable working through ambiguity
• Genuinely interested in how GTM and revenue teams operate

Nice to have:

• Experience building workflows or tools that are actively used by others
• Familiarity with web scraping (BeautifulSoup, Playwright, Puppeteer, or similar)
• Familiarity with APIs, data enrichment, or CRM data structures
• Any prior work at the intersection of AI and sales or marketing

How We Work at Air

• Act like a driver: Take initiative and ownership without waiting to be told.
• Work in public: Share ideas openly, get feedback early, and collaborate across teams.
• Play to win: Aim high and bring creativity, adaptability, and focus to your work.
• Say the hard thing: Give and receive feedback with clarity and respect.
• Disagree and commit: Debate honestly, then align quickly to move forward together.

BenefitsWhy Air?

• Growth and Impact: Join a rapidly scaling company with a mission to transform the creative ops space. Your work will have a direct, tangible impact on [our ARR growth].
• Comprehensive Benefits: We offer competitive medical, dental, and vision insurance, along with dependent coverage. You’ll also enjoy a generous work-from-home stipend, professional development reimbursement, and unlimited vacation days.
• Commitment to Diversity: We believe in the power of diverse perspectives and strive to create an inclusive culture that welcomes individuals from all backgrounds and experiences.
• Competitive Compensation: The compensation range for this role is USD $1000-$1500 per week, commensurate with experience.

At Air, we’re committed to building a world-class team and helping every individual reach their full potential. If you're passionate about solving big problems and growing with an innovative company, we’d love to meet you!