Director – Client Partner, Strategic Technology Accounts, Enterprise AI

InnoData

. Own account strategy, growth plan, bookings, pipeline, forecasting, and revenue performance across strategic technology accounts .

Posted 10/13/2026full-timeRemote • United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Enterprise AI sales, account strategy, and revenue management, with a strong focus on building executive relationships and driving growth in technology accounts. Proven ability to lead complex negotiations and collaborate with cross-functional teams to deliver transformative solutions.

Highest-signal resume keywords

Enterprise AI Sales ExperienceAccount Planning and Revenue ManagementExecutive Relationship BuildingFull Sales Cycle OwnershipCloud and Data Engineering Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/GenAI SalesData EngineeringAnalyticsCloud ServicesDigital TransformationOpportunity QualificationPipeline DevelopmentForecastingProposal DevelopmentNegotiation

Soft Skills

Strong Executive PresenceCollaborationArticulation of Business Value

Tools & Technologies

AWSAzureGCPDatabricksSnowflakeAnthropicOpenAI

Certifications & Qualifications

Bachelor's DegreeMaster's Degree or MBA Preferred

Industry Keywords

Enterprise AICloudData EngineeringDigital ServicesTransformation Programs

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Own account strategy, growth plan, bookings, pipeline, forecasting, and revenue performance across strategic technology accounts
Expand existing customer relationships by identifying new buying centers and Enterprise AI opportunities
Build and maintain executive-level relationships across AI/ML, Engineering, Data, Cloud, Product, Operations, Procurement, and Transformation teams
Identify, qualify, and close complex Enterprise AI, data engineering, cloud, software engineering, and managed services engagements
Drive expansion into Generative AI, Agentic AI, AI-ready data, AI evaluation and assurance, RAG and context engineering, and managed AI services
Partner with Field Delivery Executives, solution architects, delivery leaders, and subject matter experts to shape customer solutions and transformation programs
Position and cross-sell Innodata capabilities across AI engineering, GenAI application development, AI evaluation, HITL workflows, data engineering, and managed production support
Lead commercial negotiations, proposal development, opportunity qualification, procurement discussions, and contract execution
Build multi-threaded relationships across business, technical, operational, and executive stakeholders
Serve as the voice of the customer internally and help shape Enterprise AI offerings and growth strategy

Requirements

What you’ll need

10+ years of enterprise technology, AI, data engineering and analytics, cloud, or digital services sales experience, including 5+ years growing large strategic accounts
Proven track record expanding Fortune 100 or global technology accounts and closing multi-million-dollar services engagements
Demonstrated success opening new buying centers and growing wallet share within existing accounts
Experience selling AI/GenAI, data engineering, analytics, cloud, software engineering, or digital transformation services
Strong executive relationships across 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 owning the full sales cycle, including discovery, solution shaping, executive presentations, proposal development, negotiation, procurement, and deal closure
Strong executive presence and ability to articulate business value, ROI, and transformation outcomes to senior stakeholders
Proven ability to collaborate with solution architects, delivery leaders, and technical teams to convert pilots into long-term production engagements
Bachelor's degree required; Master's degree or MBA preferred
Preferred: 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 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 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