Enterprise AI Account Executive

Innodata Inc; New York (NY); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading data engineering company is seeking a Sales Director to drive new logo acquisition and engage with executives on AI adoption. The role demands 10–15 years of enterprise sales experience, a strong network in tech or finance, and a proven track record of closing substantial deals. This position offers an opportunity to influence AI transformation in major enterprises.

Qualifications

• 10–15 years of enterprise sales experience with a proven hunter track record.
• Ability to close $2M+ deals in enterprise services.
• Existing CxO and VP-level network in relevant industries.

Responsibilities

• Drive pipeline creation and close $10M+ in net-new enterprise deals annually.
• Build trusted relationships with CIOs and CTOs to shape AI transformation roadmaps.
• Represent Innodata at industry events and AI forums.

Skills

Enterprise sales experience

AI/ML knowledge

Consultative selling

Strong closing skills

CxO engagement

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 enterprise context into AI workflows.
  • GenAI Product Operations Support: Scaling model operations, triage, labeling, and developer platform support.
• CxO Engagement: Build trusted relationships with CIOs, CTOs, CDOs, and Innovation leaders to shape AI transformation roadmaps.
• Account Strategy: Map target accounts, orchestrate tailored outreach, and land pilots that expand into enterprise programs.
• Collaboration: Partner with Pre‑sales, practice, delivery and solution teams to co‑create compelling proposals, POVs, and demos.
• Thought Leadership: Represent Innodata at industry events, AI forums, and analyst discussions to raise market visibility.

Qualifications

• 10–15 years of enterprise sales experience with a proven hunter track record in new logo acquisition.
• Prior experience in AI/ML, GenAI, digital transformation, or enterprise software/services strongly preferred.
• Demonstrated ability to close $2M+ deals in enterprise services.
• Existing CxO and VP‑level network in Tech, Financial Services, Healthcare, Retail, or Manufacturing.
• Understanding of the AI adoption lifecycle and enterprise pain points: implementation, evaluation, governance, and operations.
• Consultative, research‑driven prospector with strong closing skills and executive presence.

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