InnoData este o cooperativă socială italiană cu sediul în Foggia, care își prezintă activitatea ca soluții tehnologice axate pe impactul social. Informațiile disponibile despre companie indică servicii tehnologice pentru organizații, însă site-ul său web este în prezent în mentenanță și nu oferă suficiente detalii pentru a identifica produse sau servicii specifice. Profilul o încadrează pe InnoData în consultanță B2B și impact social și menționează că are o echipă restrânsă.
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.
Descriere
- 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.
Cerințe
- 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.