Director, Client Partner - Information Services, Enterprise AI (Remote)

Tech Sales Jobs; United States; Remote; USD 170,000 - 190,000; Full time

Job summary

Innodata is seeking a Director/Client Partner to drive growth and deepen executive‑level partnerships in the Information Services sector. You will shape account strategy, expand revenue, and collaborate with AI, engineering, and delivery teams to deliver Enterprise AI transformations for publishers, researchers, and information providers.

The role requires a track record in selling AI, data engineering, and managed services, with strong negotiation and cross‑functional leadership abilities.

Qualifications

• 10+ years of enterprise technology, AI/ML, information services, or data engineering.
• 5+ years managing large strategic accounts within Information Services, Publishing, Research, Legal, Regulatory, or knowledge-driven orgs.
• Track record of expanding enterprise relationships and closing complex services engagements ≥$2M.

Responsibilities

• Own account strategy, growth plan, pipeline, bookings, forecasting, and revenue for strategic Information Services customers.
• Develop expansion strategies across publishing, research, legal, regulatory, and information services.
• Build executive-level relationships with stakeholders across business, technology, content, research, and operations.
• Identify, qualify, and close Enterprise AI, data engineering, digital transformation, and managed services engagements.
• Lead negotiations, proposals, and contracts with senior stakeholders.

Skills

Enterprise technology experience

AI/ML

Strategic account management

Executive stakeholder management

Forecasting & negotiations

Account planning

Education

Bachelor's degree

MBA or Master's preferred

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

Director/Client Partner - Information Services, Enterprise AI

Location: Remote - United States

Department: INN - (Product) Development & Research - 383

Innodata(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Scope of the Role

The Information Services industry is undergoing rapid transformation as organizations look to leverage Artificial Intelligence to modernize knowledge management, content operations, research workflows, and customer experiences. Leading publishers, information providers, legal and regulatory organizations, and research institutions are investing heavily in Enterprise AI initiatives to unlock the value of their content, data, and expertise.

Innodata is at the forefront of that transformation. We are seeking a Director / Client Partner to drive growth and deepen strategic relationships within the Information Services sector. This is a senior leadership role focused on expanding revenue, identifying new opportunities, and building executive-level partnerships with some of the world's leading information and knowledge organizations.

You will own account strategy, business development, executive engagement, and revenue growth across a portfolio of strategic accounts. Working closely with Innodata's AI, engineering, and delivery teams, you will help customers design and implement Enterprise AI solutions that drive measurable business outcomes. Your success will be measured by your ability to grow existing relationships, create new opportunities, and establish Innodata as a trusted AI transformation partner within the Information Services ecosystem.

What You'll Own:

• Own the overall account strategy, growth plan, pipeline, bookings, forecasting, and revenue performance for strategic Information Services customers.
• Develop and execute account expansion strategies that uncover new opportunities across publishing, research, legal, regulatory, and information services organizations.
• Build and maintain executive-level relationships with key stakeholders across business, technology, content, research, and operations functions.
• Identify, qualify, and close complex Enterprise AI, data engineering, digital transformation, and managed services engagements.
• Drive expansion into new AI initiatives including Generative AI, Agentic AI, enterprise search, knowledge management, document intelligence, and workflow automation.
• Collaborate with solution architects, AI specialists, engineering leaders, and delivery teams to shape customer solutions and transformation programs.
• Position and cross-sell Innodata's capabilities across AI-powered data engineering, document processing, GenBI, enterprise knowledge solutions, RAG and context engineering, AI evaluation, HITL workflows, and managed AI operations.
• Lead commercial negotiations, proposal development, opportunity qualification, and contract discussions with senior stakeholders.
• Build a multi-threaded account presence across technical, business, procurement, and executive teams to accelerate growth and strengthen strategic partnerships.
• Serve as the voice of the customer internally, helping shape Innodata's Enterprise AI offerings and long-term go-to-market strategy.

You'll Thrive in This Role If You Have:

• 10+ years of experience in enterprise technology, AI/ML, information services, content technologies, data engineering, cloud solutions, digital transformation, or strategic account management.
• 5+ years of experience managing and growing large strategic accounts within Information Services, Publishing, Research, Legal, Regulatory, or knowledge-driven organizations.
• A demonstrated track record of expanding enterprise relationships and closing complex services engagements valued at $2M+.
• Experience selling AI, data engineering, content modernization, enterprise search, knowledge management, analytics, cloud, digital transformation, or managed services solutions.
• Strong executive presence and the ability to engage senior leaders across business and technical organizations.
• Expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations.
• The ability to navigate multiple stakeholder groups including Product, Technology, AI/ML, Content Operations, Research, Data, Procurement, and executive leadership.
• A Bachelor's degree is required; an MBA or Master's degree is preferred.

Preferred Qualifications:

• Existing relationships within leading Information Services, Publishing, Legal, Regulatory, Research, or Professional Information organizations.
• Prior experience selling AI, engineering, consulting, content technology, or managed services solutions into Information Services enterprises.
• Working knowledge of Enterprise AI technologies including RAG architectures, enterprise search, document intelligence, knowledge management platforms, and workflow automation solutions.
• Experience with Agentic AI, Generative AI, AI evaluation frameworks, data engineering programs, or managed AI operations.
• Familiarity with modern cloud and data ecosystems including AWS, Azure, Google Cloud Platform (GCP), Databricks, Snowflake, and related technologies.
• Experience converting existing delivery engagements into larger transformation programs and recurring managed-services revenue streams.

The expected salary range for this position is $170,000 - $190,000 USD p/year, based on experience, skills, and qualifications.