Enterprise AI Account Executive
Company: Innodata Inc.
Location: Manhattan, NY
Type: Full-time
Level: Senior
Posted: 2026-02-23
About this role
Job Description
Location:
Remote in San Francisco, Dallas, New York, New Jersey
Who We Are
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.
About The Role
We are looking for a hunter-style Sales Director to spearhead new logo acquisition for Innodata’s Enterprise AI Business Unit. This role is laser-focused on breaking into net-new enterprise accounts and positioning Innodata as the partner of choice for AI implementation, GenAI QA, Context Engineering, and GenAI Product Operations Support. The ideal candidate combines a headhunter mindset with enterprise sales acumen and can create executive-level conversations around AI adoption, governance, and operationalization.
Key Responsibilities
- New Logo Acquisition: Drive pipeline creation and close $10M+ in net-new enterprise deals annually.
- Solution Selling: Position Innodata’s offerings:
- AI Implementation: Smart search, knowledge assist, copilots, and agentic AI.
- GenAI QA: Red-teaming, model evaluation, safety, and reliability testing.
- GenAI Context Engineering: Structuring enterp...