FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise technology sales, particularly in AI, data engineering, and cloud solutions, with a proven ability to grow strategic accounts and drive significant revenue. Strong executive presence and relationship management skills are essential for engaging with senior leaders and navigating complex stakeholder environments.
Highest-signal resume keywords
Enterprise Technology SalesAI Transformation EngagementsAccount Planning and ForecastingComplex Commercial NegotiationsGoogle Cloud Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI EvaluationData EngineeringCloud SolutionsAnalyticsDigital TransformationManaged ServicesAccount ManagementOpportunity QualificationRevenue GrowthProposal Development
Soft Skills
Executive PresenceRelationship ManagementCollaborationNegotiation SkillsStakeholder Engagement
Tools & Technologies
Google CloudVertex AIGeminiBigQueryLooker
Certifications & Qualifications
Bachelor's DegreeMBA or Master's Degree (Preferred)
Industry Keywords
AICloudData EngineeringDigital TransformationProfessional Services
Tech Stack
Tools & technologiesBigQueryCloud
About the role
Key responsibilities & impact- 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
What you’ll need- 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