---
title: 'Technical Product Intern (Compliance x LLM Ops) at Elloe AI'
canonical: 'https://feeny.ai/job/technical-product-intern-compliance-x-llm-ops-elloe-ai-austin-c254wg70xaws'
type: 'job'
last_seen: '2026-09-10'
---

# Technical Product Intern (Compliance x LLM Ops) at Elloe AI

- **Company:** Elloe AI
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-07-11
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/elloe-ai/am9icG9zdDoX4tv5_RtRIxrZIRIpYkld

## Job description

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

1. Competitive Analysis

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

1. 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
- To Apply: Share your resume and a short note on how you’d simplify the compliance UX for model-based APIs.

## About Elloe AI

## Company Overview
- **One-liner**: Elloe AI provides a real-time compliance layer that acts as an “immune system” for AI, making large language models safe to deploy across regulated industries.
- **Entity Type**: Private (Pre-Seed, $1M total funding)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2022 (Pre-Seed round closed April 2022)
- **Founders**: Owen Sakawa (CEO & Co-Founder), Jackson Mwaniki (CTO & Co-Founder), Aaron Madolora (CPO & Co-Founder)

## Core Business
- **Primary industry**: AI Safety & Governance, Enterprise Compliance, Cybersecurity
- **Target customers**: Governments, hospitals, financial institutions, and other regulated enterprises (B2B)
- **Mission statement**: “Build the immune system for AI—systems that make AI safe, truthful, and compliant in the real world.”

## Products & Services
- **Elloe AI Platform**: An API/SDK that sits on top of an LLM’s output layer, providing three “anchors”:
  1. **Fact-checking anchor** – verifies responses against trusted sources.
  2. **Regulatory compliance anchor** – checks for violations of HIPAA, GDPR, PII exposure, and other regulations.
  3. **Audit trail anchor** – logs every decision, source, and confidence score for full traceability.
  The platform is not built on another LLM, but uses machine learning and human-in-the-loop oversight.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Annual Revenue ~$870K (company-reported); Total Funding $1M (Pre-Seed, led by Mad Ventures in April 2022)
- **Notable Investors/Partners**: Mad Ventures (sole lead investor in Pre-Seed round); also acquired Saada (2022)
- **Growth Signals**: Finalist (Top 20) in TechCrunch Disrupt 2025 Startup Battlefield; headcount growth trending negative (-16.7% YoY) but still hiring for multiple roles as of late 2025; offices opened in Nairobi and London; claims to have prevented 100,000+ medical errors, blocked $20M+ in biased loans, and protected 12M+ AI-driven risks.

## Competitive Advantages
- **Not an LLM judging LLMs**: Elloe AI’s system uses its own ML models and human analysts, avoiding the “Band-Aid on a wound” problem of having one LLM check another.
- **Multi-layer anchor system**: Fact-checking, regulatory compliance, and full audit trail are built-in, not bolted on.
- **Regulatory expertise**: The company keeps up with evolving global regulations (HIPAA, GDPR, etc.) and employs humans-in-the-loop to stay current.
- **Early trust in regulated verticals**: Already deployed by governments, hospitals, and enterprises, giving them domain-specific credibility.

## Strategic Focus
- **Deepen compliance capabilities**: Expand coverage of regulatory frameworks and jurisdictions.
- **Global expansion**: Offices in Austin, Nairobi, and London suggest a push into North America, Africa, and Europe.
- **Product development**: Building out “anchors” for more use cases, and possibly edge inference for GPU environments (as seen in job postings for Principal Engineer – Distributed Systems).
- **Talent acquisition**: Actively hiring for roles in engineering, design, product, policy, and communications – indicating a growth phase focused on scaling the team despite recent headcount dip.

## Why Work Here
- **Mission-driven culture**: The team describes itself as “mission-first, values-led,” focused on making AI safe and trustworthy in critical domains.
- **Small, global team**: With ~10 employees across three continents, new hires can have outsized impact and direct exposure to founders.
- **Flexible work options**: Job postings list “In-Office or Remote” for most roles, with the Austin HQ operating on-site; typical time on-site is listed as “OnSite Workspace” for HQ, but remote arrangements appear available.
- **High-profile visibility**: Being a Top 20 finalist at TechCrunch Disrupt 2025 gives the company industry recognition and a startup event pedigree.
- **Meaningful impact**: The company’s own metrics (100K+ medical errors prevented, $20M+ biased loans blocked) suggest employees contribute to directly measurable social good.
- **Diverse, distributed team**: Team members come from backgrounds including Cerner, SAP, Freshworks, Kenya Power, and others, indicating a mix of enterprise and startup experience.

## Sources
1. [TechCrunch](https://techcrunch.com/2025/10/28/elloe-ai-wants-to-be-the-immune-system-for-ai-check-it-out-at-disrupt-2025/)
2. [LinkedIn](https://linkedin.com/company/elloe-inc)
3. [Elloe AI – Who We Are](https://www.elloe.ai/who-we-are)
4. [Built In – Elloe AI Careers](https://builtin.com/company/elloe-ai)
5. [Gem – Elloe AI Careers](https://jobs.gem.com/elloe-ai)

## Other roles at Elloe AI

- [Member of Technical Staff – AGI Governance Researcher (Constitutional Safety)](https://feeny.ai/job/member-of-technical-staff-agi-governance-researcher-constitutional-safety-elloe-e2zwy76efft6) — San Francisco, CA
- [Principal Engineer – Distributed Systems (GPU Edge + Inference)](https://feeny.ai/job/principal-engineer-distributed-systems-gpu-edge-inference-elloe-ai-austin-1ebxd0k753ff) — Austin, TX
- [Product Manager – Enforcement Infrastructure (LLM + Vault)](https://feeny.ai/job/product-manager-enforcement-infrastructure-llm-vault-elloe-ai-austin-sz8p3dj7n48d) — Austin, TX
- [Member of Technical Staff – ML Security Engineer (Red Teaming + Patch Risk Forecasting)](https://feeny.ai/job/member-of-technical-staff-ml-security-engineer-red-teaming-patch-risk-kfqrxs0gn25j) — Austin, TX
- [LLM Red Team Intern (Evaluation Systems)](https://feeny.ai/job/llm-red-team-intern-evaluation-systems-elloe-ai-austin-q8t54b7ywt5w) — Austin, TX
- [MBA Intern – Strategic Growth & GTM (Founder Office)](https://feeny.ai/job/mba-intern-strategic-growth-gtm-founder-office-elloe-ai-austin-genfb4sn5e6x) — Austin, TX
- [Member of Technical Staff – Explainability Engineer (Alignment + SHAP)](https://feeny.ai/job/member-of-technical-staff-explainability-engineer-alignment-shap-elloe-ai-austin-qfm6yx8k24r7) — Austin, TX
- [Design Intern (Narrative + Interface Systems)](https://feeny.ai/job/design-intern-narrative-interface-systems-elloe-ai-austin-pa5m274e6mn9) — Austin, TX
- [Sales Ops & Revenue Intern (Pilot GTM x Signal Ops)](https://feeny.ai/job/sales-ops-revenue-intern-pilot-gtm-x-signal-ops-elloe-ai-austin-x1b53xdajp4q) — Austin, TX
- [Communications Intern (AI Policy + GTM)](https://feeny.ai/job/communications-intern-ai-policy-gtm-elloe-ai-austin-h6r7bdzaqtb8) — Austin, TX