Director – Client Partner, Strategic Technology Accounts, Enterprise AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of account strategy, growth initiatives, bookings, pipeline management, forecasting, and revenue performance in key technology accounts.

• Foster existing customer relationships by uncovering new buying centers and opportunities in Enterprise AI.

• Cultivate and sustain relationships at the executive level across AI/ML, Engineering, Data, Cloud, Product, Operations, Procurement, and Transformation teams.

• Identify, qualify, and successfully close intricate engagements in Enterprise AI, data engineering, cloud, software engineering, and managed services.

• Propel expansion into Generative AI, Agentic AI, AI-ready data, AI evaluation and assurance, RAG and context engineering, as well as managed AI services.

• Collaborate with Field Delivery Executives, solution architects, delivery leaders, and subject matter experts to design customer solutions and transformation initiatives.

• Position and cross-sell Innodata's capabilities across AI engineering, GenAI application development, AI evaluation, HITL workflows, data engineering, and managed production support.

• Lead commercial negotiations, proposal crafting, opportunity qualification, procurement conversations, and contract finalization.

• Develop multi-threaded relationships with business, technical, operational, and executive stakeholders.

• Act as the internal voice of the customer, contributing to the shaping of Enterprise AI offerings and growth strategy.

⛳️ Requirements

• Over 10 years of experience in enterprise technology, AI, data engineering and analytics, cloud, or digital services sales, including at least 5 years of growing large strategic accounts.

• A proven history of expanding Fortune 100 or global technology accounts and closing multi-million-dollar service engagements.

• Demonstrated ability to open new buying centers and increase wallet share within existing accounts.

• Experience in selling AI/GenAI, data engineering, analytics, cloud, software engineering, or digital transformation services.

• Strong executive relationships within AI/ML, Engineering, Data, Cloud, Product, Operations, Procurement, and Transformation organizations.

• Expertise in account planning, whitespace analysis, opportunity qualification, pipeline development, forecasting, and revenue management.

• Experience managing the complete sales cycle, including discovery, solution development, executive presentations, proposal creation, negotiation, procurement, and deal closure.

• Strong executive presence with the capacity to communicate business value, ROI, and transformation outcomes to senior stakeholders.

• Proven ability to collaborate with solution architects, delivery leaders, and technical teams to transition pilots into long-term production engagements.

• A Bachelor's degree is required; a Master's degree or MBA is preferred.

• Preferred: established relationships within major technology, hyperscaler, or AI platform companies.

• Preferred: experience selling Agentic AI, RAG and context engineering, AI evaluation and assurance, AI-ready data, or managed AI services.

• Preferred: experience in expanding ML and data services engagements into broader Enterprise AI transformation programs.

• Preferred: familiarity with AWS, Azure, GCP, Databricks, Snowflake, Anthropic, OpenAI, and related enterprise AI ecosystems.

• Preferred: experience in selling engineering PODs, time-and-materials engagements, milestone-based programs, and managed services.

• Preferred: background in a high-growth AI, data engineering, digital transformation, or global technology services organization.

🏝️ Benefits

• Competitive salary with performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work arrangements.

• Professional development opportunities and support for continued education.

• Collaborative and inclusive work environment.