InnoData is an Italian social cooperative based in Foggia that presents its work as technological solutions with a social impact focus. Its available company information points to technology services for organizations, though its website is currently under maintenance and does not provide enough detail to identify specific products or services. The profile lists InnoData in B2B consulting and social impact, with a small team.
Director, Client Partner – Enterprise AI
Lead strategic technology account growth at Innodata, a global data engineering company. Expand customer engagements across Enterprise AI, cloud, and data services.
Jungtinės Valstijos180 000 $ – 220 000 $ / metai
NuotolinisVisas etatasVadovasPrivaloma Kalba: anglųKlientų partnerisPardavimaiAprašymas
- Set account strategy and growth plans, and manage bookings, pipeline, forecasts, and revenue across strategic technology accounts.
- Grow existing customer relationships by finding new buying centers and Enterprise AI opportunities.
- Develop executive relationships across AI/ML, engineering, data, cloud, product, operations, procurement, and transformation teams.
- Identify, qualify, and close complex engagements in Enterprise AI, data engineering, cloud, software engineering, and managed services.
- Expand customer work in Generative AI, Agentic AI, AI-ready data, AI evaluation and assurance, RAG and context engineering, and managed AI services.
- Work with Field Delivery Executives, solution architects, delivery leaders, and subject matter experts to shape customer solutions and transformation programs.
- Present and cross-sell Innodata services in AI engineering, GenAI application development, AI evaluation, HITL workflows, data engineering, and managed production support.
- Lead commercial negotiations, proposals, opportunity qualification, procurement discussions, and contract execution.
- Build relationships across business, technical, operational, and executive stakeholders.
- Represent customer needs internally and contribute to Enterprise AI offerings and growth strategy.
Reikalavimai
- Bring at least 10 years of sales experience in enterprise technology, AI, data engineering and analytics, cloud, or digital services, including at least five years growing large strategic accounts.
- Show a record of expanding Fortune 100 or global technology accounts and closing services engagements worth millions of dollars.
- Demonstrate success opening new buying centers and increasing share of customer spend within existing accounts.
- Have experience selling AI/GenAI, data engineering, analytics, cloud, software engineering, or digital transformation services.
- Maintain strong executive relationships across AI/ML, engineering, data, cloud, product, operations, procurement, and transformation organizations.
- Bring expertise in account planning, whitespace analysis, opportunity qualification, pipeline development, forecasting, and revenue management.
- Have full sales cycle experience, from discovery and solution shaping through executive presentations, proposals, negotiation, procurement, and closing.
- Communicate business value, ROI, and transformation outcomes effectively to senior stakeholders.
- Show the ability to work with solution architects, delivery leaders, and technical teams to turn pilots into long-term production engagements.
- Hold a bachelor's degree; a master's degree or MBA is preferred.
- Preferred: Have relationships at major technology companies, hyperscalers, or AI platform companies.
- Preferred: Have experience selling Agentic AI, RAG and context engineering, AI evaluation and assurance, AI-ready data, or managed AI services.
- Preferred: Have experience broadening ML and data services engagements into Enterprise AI transformation programs.
- Preferred: Know AWS, Azure, GCP, Databricks, Snowflake, Anthropic, OpenAI, and related enterprise AI ecosystems.
- Preferred: Have sold engineering PODs, time-and-materials engagements, milestone-based programs, and managed services.
- Preferred: Have worked in a high-growth AI, data engineering, digital transformation, or global technology services organization.