Director, Client Partner – Enterprise AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the comprehensive Google Enterprise AI account strategy, including growth planning, pipeline management, bookings, forecasting, and revenue performance.

• Design and implement strategies for account expansion across various Google divisions such as AI, Cloud, Data, Product, Engineering, Operations, and Trust & Safety.

• Cultivate and sustain executive-level relationships with essential Google stakeholders.

• Identify, assess, and secure intricate professional services and AI transformation projects valued at over $2M.

• Propel growth initiatives in Generative AI, Agentic AI, AI evaluation, data engineering, analytics, and managed AI services.

• Collaborate with solution architects, data scientists, engineering leaders, and delivery teams on workshops, pilots, proofs of concept, and large-scale production programs.

• Position and cross-sell Innodata's AI-driven data engineering, GenAI application development, GenBI, RAG and context engineering, AI evaluation, HITL workflows, and managed production support capabilities.

• Lead commercial negotiations, proposal creation, opportunity assessment, and contract discussions.

• Establish a multi-dimensional account presence across technical, business, procurement, and executive teams.

• Advocate for the customer internally and assist in shaping Innodata's Enterprise AI offerings and go-to-market strategy.

⛳️ Requirements

• Over 10 years of experience in enterprise technology, AI, data engineering, cloud, analytics, software engineering services, or digital transformation sales and account management.

• At least 5 years of experience in managing and expanding large strategic technology accounts, preferably within major technology firms or hyperscaler environments.

• Proven history of growing accounts to generate $5M-$10M+ in annual revenue and successfully closing intricate services engagements exceeding $2M.

• Experience in selling AI, data engineering, analytics, cloud, digital transformation, or managed services solutions.

• Strong executive presence with the capability to engage senior leaders across both business and technical sectors.

• Proficiency in account planning, opportunity assessment, forecasting, and complex commercial negotiations.

• Ability to navigate stakeholder groups in Engineering, Product, AI/ML, Data, Operations, Procurement, and executive leadership.

• A Bachelor's degree is required.

• An MBA or Master's degree is preferred.

• Established relationships within Google across teams in Cloud, AI/ML, Data Engineering, Product, Operations, Analytics, or Procurement.

• Previous experience selling AI, engineering, consulting, or managed services directly to Google.

• Familiarity with 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.

• Understanding of Google's procurement processes, vendor ecosystem, and partner landscape.

• Experience in converting existing delivery engagements into larger transformation initiatives and recurring managed-services revenue streams.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work environment, including remote work options.

• Competitive salary and performance-based bonuses.

• Engaging company culture that fosters innovation and collaboration.