Revenue Operations AI Co-Op

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.

Required Qualifications

• 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

Preferred Qualifications

• 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

Preferred Qualifications

To be considered for this opportunity, please send your resumé to jobs@peaknano.com with the Subject Line ‘Revenue Operations AI Co-Op’