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Peak Nano Films is building an AI-automated Revenue Operations function and is hiring two Fall co-ops to ship production-grade automation applications used daily by our GTM and leadership teams. Each co-op owns one application end-to-end (architecture, build, integration, deployment, and iteration), working directly with the Director of Revenue Operations on hands-on builder-track work. Track assignments are made at offer stage based on candidate fit. Tools include Claude, Clay.ai, HubSpot AI, and low-code orchestration. Track 1 — Customer Acquisition and Market Sourcing Automation: Build an AI-powered tool that automates customer acquisition and market sourcing research using Clay.ai, LinkedIn, and third-party data sources, with a scoping pathway to a future Global TAM module. Track 2 — FaaS Rheology Database: Build the scoring and comparison algorithm for Peak's polymer rheology database, implementing the matching logic that scales the Films-as-a-Service material selection process.
Job Responsibility
Peak Nano Films is building an AI-automated Revenue Operations function and is hiring two Fall co-ops to ship production-grade automation applications used daily by our GTM and leadership teams
Each co-op owns one application end-to-end (architecture, build, integration, deployment, and iteration), working directly with the Director of Revenue Operations on hands-on builder-track work
Requirements
Active undergraduate or graduate student in Computer Science, Data Science, AI/ML, Business Analytics, Information Systems, or a related field
Must be able to receive academic credit from an accredited institution of higher education upon successful completion of the co-op
Junior or senior class standing, or graduate student
Available full-time for the Fall semester (late August through mid-December)
Demonstrated familiarity with AI tooling (Claude, ChatGPT, Clay.ai, or equivalent), including prompt engineering and agentic workflow design
Working knowledge of Python or a comparable scripting language
Comfort with API integrations and reading technical documentation independently
Strong written communication
able to document what you build for non-technical operators
US Citizenship
Nice to have
Prior co-op or internship experience, particularly in a startup or early-stage environment
Hands-on experience with Clay.ai, HubSpot, or comparable GTM/RevOps platforms
Familiarity with low-code/no-code automation tools (Zapier, Make, n8n)
Exposure to MCP, agent frameworks, or LLM orchestration patterns
Coursework or projects in ML, NLP, or applied AI
Interest in commercial operations, GTM strategy, or product management as a long-term career direction