Director, Client Partner – Enterprise AI

Job not on LinkedIn

🔥 23 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 the overall Google Enterprise AI account strategy, growth plan, pipeline, bookings, forecasting, and revenue performance • Develop and execute account expansion strategies across Google's AI, Cloud, Data, Product, Engineering, Operations, and Trust & Safety organizations • Build and maintain executive-level relationships with key Google stakeholders • Identify, qualify, and close complex professional services and AI transformation engagements valued at $2M+ • Drive expansion into Generative AI, Agentic AI, AI evaluation, data engineering, analytics, and managed AI services initiatives • Collaborate with solution architects, data scientists, engineering leaders, and delivery teams on workshops, pilots, proofs of concept, and production-scale programs • Position and cross-sell Innodata's AI-powered data engineering, GenAI application development, GenBI, RAG and context engineering, AI evaluation, HITL workflows, and managed production support capabilities • Lead commercial negotiations, proposal development, opportunity qualification, and contract discussions • Build a multi-threaded account presence across technical, business, procurement, and executive teams • Represent the customer internally and help shape Innodata's Enterprise AI offerings and go-to-market strategy

🎯 Requirements

• 10+ years of experience in enterprise technology, AI, data engineering, cloud, analytics, software engineering services, or digital transformation sales and account management • 5+ years of experience managing and growing large strategic technology accounts, ideally within major technology companies or hyperscaler environments • Demonstrated track record of growing accounts to $5M-$10M+ in annual revenue and closing complex services engagements exceeding $2M • Experience selling AI, data engineering, analytics, cloud, digital transformation, or managed services solutions • Strong executive presence and ability to engage senior leaders across business and technical organizations • Expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations • Ability to navigate Engineering, Product, AI/ML, Data, Operations, Procurement, and executive leadership stakeholder groups • Bachelor's degree required • MBA or Master's degree preferred • Existing relationships within Google across Cloud, AI/ML, Data Engineering, Product, Operations, Analytics, or Procurement teams • Prior experience selling AI, engineering, consulting, or managed services directly into Google • Working knowledge of Google Cloud technologies including Vertex AI, Gemini, BigQuery, Looker, and broader Google Cloud Data & AI solutions • Experience with Agentic AI, Generative AI, AI evaluation frameworks, data engineering programs, or managed AI operations • Familiarity with Google's procurement processes, vendor ecosystem, and partner landscape • Experience converting existing delivery engagements into larger transformation programs and recurring managed-services revenue streams