---
title: 'Sales Ops & Revenue Intern (Pilot GTM x Signal Ops) at Elloe AI'
canonical: 'https://feeny.ai/job/sales-ops-revenue-intern-pilot-gtm-x-signal-ops-elloe-ai-austin-x1b53xdajp4q'
type: 'job'
last_seen: '2026-09-10'
---

# Sales Ops & Revenue Intern (Pilot GTM x Signal Ops) at Elloe AI

- **Company:** Elloe AI
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2024-12-13
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/elloe-ai/am9icG9zdDp8FTjktO4i-UD5R3XcUSpa

## Job description

Internship | Remote | GTM Enablement | Reports to Head of GTM

## About Elloe

Elloe is the compliance firewall for GenAI. We’re deployed in institutions like Google, Johns Hopkins, and the EU Commission — catching hallucinations, enforcing policy, and logging outputs for audit. But our growth is not transactional. It’s trust-driven. To scale this category, we need a systemized approach to pilots, case studies, and GTM velocity. That’s where you come in.

## About the Role

You’ll operate at the intersection of sales ops, pilot design, and CRM intelligence. This role is part enablement, part revenue intelligence, and part GTM strategy. You’ll help us build the rails that convert signals into deals — and deals into scalable revenue narratives. This is a systems-builder role for someone who wants to learn the actual mechanics of how AI GTM gets built.

## What You’ll Own

1. Signal Intelligence + CRM Enrichment

- Segment ICPs by trigger event, industry urgency, and compliance need
- Map the next 50 highest-signal accounts Elloe should pursue
- Improve CRM hygiene, deal logging, and next-touch automation

1. Pilot-to-Case Study Flow

- Support packaging of pilot outcomes into referenceable case studies
- Collaborate with ops and comms to extract data proof → narrative win
- Build a structured feedback loop between pilots and product

1. GTM Efficiency + Playbook Design

- Analyze friction points in active sales cycles
- Propose GTM experiments: call flows, outbound structures, trigger-driven nurture
- Build dashboards or Airtable/Notion views to track conversion velocity

## Who You Are

- MBA or business undergrad with GTM, sales ops, or product marketing interest
- Fluent in HubSpot, Notion, Airtable, or similar
- Strong systems thinker — able to see structure in signal chaos
- Bonus: prior experience with revops, B2B SaaS sales, or CRM tooling

## Why This Matters

Elloe’s buyers aren’t driven by price. They’re driven by risk. That means every conversation is high-trust, high-signal — and must be captured, learned from, and scaled. Your work helps Elloe close faster, smarter, and with repeatability.

You’ll leave this role with:

- Hands-on experience in real GTM design, not playbook parroting
- Direct collaboration with sales, product, and comms
- Impact on how Elloe grows from pilot → product → platform

Logistics & Application

- Start Date: Fall or Winter
- Duration: 10–12 weeks
- Compensation: Stipend + bonus potential tied to pilot conversion
- Location: Remote-first; East Coast or Europe preferred
- To Apply: Send a CV + note on your favorite GTM system

## 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
- [Technical Product Intern (Compliance x LLM Ops)](https://feeny.ai/job/technical-product-intern-compliance-x-llm-ops-elloe-ai-austin-c254wg70xaws) — 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
- [Communications Intern (AI Policy + GTM)](https://feeny.ai/job/communications-intern-ai-policy-gtm-elloe-ai-austin-h6r7bdzaqtb8) — Austin, TX