Technical Product Intern (Compliance x LLM Ops)

Internship | Remote | Product Ops | Reports to Head of Product About Elloe Elloe is the compliance firewall for GenAI. We protect enterprise AI from hallucinations, bias, and policy breaches — in real time. Our platform powers deployments at Google, Johns Hopkins, the EU Commission, and a Top-5 European Bank. About the Role This role is built for a technical product thinker who wants to help define what trust looks like in AI systems. You’ll be prototyping safety overlays, translating policy into product logic, and mapping the competitive edge of our infrastructure stack.You’ll partner with engineers, safety leads, and comms to make sure Elloe’s products don’t just work — they scale with clarity and precision. What You’ll Own 1. Interface & Safety UX PrototypingDesign or wireframe user-facing safety elements: audit overlays, policy badges, drift alertsBuild demo views or product mockups for partners and buyers2. Competitive AnalysisBreak down features and positioning of adjacent tools (Vanta, CalypsoAI, Credo)Help shape differentiation around real-time enforcement vs passive monitoring3. Product-to-Regulation MappingTranslate compliance frameworks (AI Act, HIPAA, SOC2) into traceable product logicCollaborate with GTM to express enforcement clarity through product demos and case studiesWho You AreTechnical student (CS, EE, or product design preferred)Comfortable spec’ing flows or wireframing interfacesCurious about compliance, explainability, and high-trust systemsBonus: Experience with LLM workflows, LangChain, or infra stacksWhy This Matters Elloe’s core differentiation is real-time enforcement. That must be understood, trusted, and provable.This role helps define how compliance becomes visible — to users, auditors, and investors. You’ll leave this role with:Exposure to enterprise GenAI design constraintsReferenceable work across dashboards, demos, and safety layersA tangible contribution to the infrastructure that keeps AI accountableLogistics & ApplicationStart Date: Flexible (Fall preferred)Duration: 10–12 weeksCompensation: Competitive stipendLocation: Remote-first; timezone overlap with EU or East Coast idealApply: Send CV + short note to jambo@elloe.ai