GTM Lead Gemini
Listed on 2026-10-16
-
Sales
Technical Sales, Sales Engineer -
IT/Tech
Technical Sales, Sales Engineer
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,
Overview:NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success. We strive to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,
The GTM Lead for Gemini Partnership is responsible for activating and scaling NTT DATA's global go-to-market motion with Gemini. This role owns the strategic partnership plan (the partner plan will be owned by alliances - gtm team will build a sales/gtm plan to align with the partnership plan), translates it into specific GTM actions, and coordinates internal pipeline, client opportunities, technical enablement (sales enablment - yes, tech enablment will be with practice and coe) and field activation.
The ideal candidate combines partnership (sales and market activation) discipline with hands-on AI fluency, strong technical curiosity, and the ability to make Gemini capabilities (solutions and offerings) practical for clients, sellers, consultants, architects, and delivery teams.
- Own and maintain the strategic GTM plan for the Gemini partnership, including priorities, target accounts, industry plays, activation milestones, and success measures.
- Translate the partnership strategy into specific GTM actions, including campaigns, account plays, executive briefings, workshops, demos, proof-of-concept motions, and co-sell activities.
- Drive and coordinate Gemini-related opportunities and pipeline across Geo, Industry, AI Consulting, Architecture, FDE, Large Deal Sales, Marketing, Delivery, and partner teams.
- Identify high-potential client use cases where Gemini capabilities can create differentiated enterprise value, including agentic workflows, knowledge work automation, software engineering, customer operations, risk-sensitive AI, and regulated industry use cases.
- Develop and maintain Gemini-specific GTM assets, including pitch materials, solution narratives, enablement content, demo concepts, qualification guidance, value propositions, and client-facing proof points.
- Partner with AI Architects and FDEs to translate Gemini capabilities into practical solution patterns, demos, prototypes, and scalable implementation approaches.
- Lead internal enablement for Gemini, including training paths, certification tracking, seller education, technical briefings, office hours, and field readiness programs.
- Act as a hands-on technical translator for the field, helping teams understand Gemini model capabilities, product updates, use-case fit, implementation considerations, and responsible AI implications.
- Coordinate partner governance, pipeline reviews, joint GTM cadences, opportunity reporting, and executive updates with Gemini and internal NTT DATA stakeholders.
- Capture market feedback, client demand signals, technical gaps , and lessons learned to refine the Gemini partnership plan and improve repeatable GTM motions.
- Gemini-influenced qualified AI pipeline generated or progressed.
- Closed-won revenue or TCV from Gemini-supported AI opportunities.
- Number and quality of activated account plays, client workshops, demos, POCs, and co-sell pursuits.
- Training, certification, and enablement adoption across priority GTM and delivery teams.
- Quality and reuse of Gemini-specific GTM assets, technical enablement materials, and solution patterns.
10 + years of professional experience in gtm across a combination of AI, data,technology consulting, solution engineering, presales, GTM, partner activation, product strategy, or business development roles.
- 2+ years of hands‑on or applied experience with AI, GenAI, LLMs, AI agents, data science, machine learning, automation, or enterprise AI platforms. Experience may be demonstrated through client work, technical projects, certifications, a data science background, or an advanced degree.
- Practical familiarity with Gemini, Claude, LLM application patterns, prompt engineering, RAG, agentic workflows, model evaluation, responsible AI, and enterprise AI adoption considerations.
- Experience translating technical capabilities into GTM plays, client value propositions, enablement materials, demos, or sales motions.
- Experience coordinating…
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