Director – Client Partner, Strategic Technology Accounts, Enterprise AI

Job not on LinkedIn

🔥 21 hours ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🤝 Client Partner

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• 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

• 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