Director/Client Partner - Google, Enterprise AI
New
I
InnodataEnterprise AI
Remote - United StatesFull-TimeDirector
Salary180,000 - 220,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 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
- Required Skills
- GCPData engineering
Requirements
- Have 10+ years of experience in enterprise technology, AI, data engineering, cloud, analytics, software engineering services, or digital transformation sales and account management.
- Have 5+ years of experience managing and growing large strategic technology accounts.
- Demonstrate a track record of growing accounts to $5M–$10M+ in annual revenue and closing complex services engagements exceeding $2M.
- Have experience selling AI, data engineering, analytics, cloud, digital transformation, or managed services solutions.
- Bring executive presence and the ability to engage senior leaders across business and technical organizations.
- Have expertise in account planning, opportunity qualification, forecasting, and complex commercial negotiations.
- Be able to navigate Engineering, Product, AI/ML, Data, Operations, Procurement, and executive stakeholders.
- Have a Bachelor's degree.
- Preferred: Existing relationships within Google across Cloud, AI/ML, Data Engineering, Product, Operations, Analytics, or Procurement teams.
- Preferred: Prior experience selling AI, engineering, consulting, or managed services directly into Google.
- Preferred: Working knowledge of Google Cloud technologies including Vertex AI, Gemini, BigQuery, Looker, and broader Google Cloud Data & AI solutions.
- Preferred: Experience with Agentic AI, Generative AI, AI evaluation frameworks, data engineering programs, or managed AI operations.
Responsibilities
- Own the 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 across the Google ecosystem.
- Identify, qualify, and close complex professional services and AI transformation engagements valued at $2M+.
- Drive expansion into production AI initiatives, including Generative AI, Agentic AI, AI evaluation, data engineering, analytics, and managed AI services.
- Collaborate with solution architects, data scientists, engineering leaders, and delivery teams to design workshops, pilots, proofs of concept, and production-scale programs.
- Position and cross-sell Innodata capabilities across AI-powered data engineering, GenAI application development, GenBI, RAG and context engineering, AI evaluation, HITL workflows, and managed production support.
- Lead commercial negotiations, proposal development, opportunity qualification, and contract discussions with senior stakeholders.
- Build a multi-threaded account presence across technical, business, procurement, and executive teams.
- Represent the voice of the customer internally to help shape Innodata's Enterprise AI offerings and go-to-market strategy.
View Full Description & ApplyYou'll be redirected to the employer's site
