Internship Zapier Automation Jobs (NOW HIRING)

About the role:

We are seeking a motivated AI Intern to join the Data & AI Agent team and help build the data infrastructure, AI agents, and automated workflows that power Armada's go-to-market motion. This is a hands-on role focused on data engineering and applied AI - not traditional ML research. You'll work directly with the Head of Data and AI Agent on the systems that turn fragmented Salesforce, SharePoint, and operational data into a single source of truth, and on the AI-powered tooling (lead scoring, signal intelligence, internal copilots) that runs on top of it. 

We are seeking a motivated Intern (unpaid) to join our team. This unpaid internship program is tailored for engineering students seeking to enrich their academic learning with practical, hands-on experience in the field.

Location: This role is remote.

Key Responsibilities: 

• Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python. 
• Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data. 
• Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes. 
• Model business data in dbt and Omni - building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on. 
• Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR). 
• Prototype and ship internal tools end-to-end - backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) - for AI-prioritized daily workflows. 
• Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them. 
• Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions. 
• Stay current on advances in agentic AI, retrieval, evals, and the modern data stack - and bring useful ideas back to the team.
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Qualifications: 

• Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field. 
• Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask. 
• Solid SQL skills - able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data. 
• Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI). 
• Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) - even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus. 
• Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar). 
• Comfort with Git and basic software engineering practices (branches, PRs, code reviews). 
• Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment. 

What You'll Gain: 

• Hands-on experience working with modern AI, automation, and data engineering tools in a real-world business environment
• Exposure to cutting-edge technologies including LLMs, workflow automation, and cloud data platforms
• The opportunity to build impactful projects used by GTM, RevOps, Finance, and leadership teams
• Mentorship and collaboration with experienced engineers and business leaders
• Practical experience with Python, SQL, dbt, APIs, dashboards, and AI-powered workflows
• A stronger technical portfolio and resume through meaningful, production-focused projects
• Insight into how AI and data systems drive decision-making and operational efficiency in a fast-growing technology company
• Professional development in problem-solving, communication, collaboration, and cross-functional teamwork

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