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Revenue Operations AI Co-Op

United States, Valley View · Job Posted June 14, 2026
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Job Description

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

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