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 Prototyping

• Design or wireframe user-facing safety elements: audit overlays, policy badges, drift alerts
• Build demo views or product mockups for partners and buyers

2. Competitive Analysis

• Break down features and positioning of adjacent tools (Vanta, CalypsoAI, Credo)
• Help shape differentiation around real-time enforcement vs passive monitoring

3. Product-to-Regulation Mapping

• Translate compliance frameworks (AI Act, HIPAA, SOC2) into traceable product logic
• Collaborate with GTM to express enforcement clarity through product demos and case studies

Who You Are

• Technical student (CS, EE, or product design preferred)
• Comfortable spec’ing flows or wireframing interfaces
• Curious about compliance, explainability, and high-trust systems
• Bonus: Experience with LLM workflows, LangChain, or infra stacks

Why 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 constraints
• Referenceable work across dashboards, demos, and safety layers
• A tangible contribution to the infrastructure that keeps AI accountable

Logistics & Application

• Start Date: Flexible (Fall preferred)
• Duration: 10–12 weeks
• Compensation: Competitive stipend
• Location: Remote-first; timezone overlap with EU or East Coast ideal
• Apply: Send CV + short note to [email protected]