AI Technical Pre-Sales & GTM Leader

Role Overview

The AI Technical Pre-Sales & GTM Leader will drive AI-led growth across the Data & AI business by identifying opportunities, engaging with customers and executive stakeholders, architecting differentiated AI solutions, and converting opportunities into scalable enterprise engagements.

What You Will Do

Drive AI go-to-market initiatives and pipeline growth across existing and new customer accounts, identify and shape AI opportunities through executive conversations, discovery workshops, business discussions, and use-case prioritization.

Why It Might Be a Fit

The ideal candidate will have strong customer-facing and technical pre-sales experience, with exposure to Microsoft Azure and Databricks environments, and strong analytical, problem-solving, and strategic thinking skills.

Requirements

• Minimum 10 years of experience across AI, Data, Cloud, Architecture, Consulting, Technical Pre-Sales, or related areas.
• Strong understanding of Generative AI, Agentic AI, LLMs/SLMs, RAG, Machine Learning, and enterprise AI architecture.
• Strong experience in AI solutioning, technical pre-sales, customer discovery, and translating business requirements into AI solutions.
• Experience with AI governance, Responsible AI, security, model evaluation, and production AI.
• Strong knowledge of Azure AI and modern Data & AI platforms.
• Hands-on experience with Databricks is strongly preferred.
• Understanding of AI productionization, LLMOps/MLOps, AI observability, and enterprise AI deployment.
• Ability to translate business problems into AI use cases, solution architectures, and measurable business outcomes.
• Strong executive communication, presentation, consulting, and customer-facing solutioning skills.
• Experience developing AI offerings, accelerators, reference architectures, demos, or reusable solutions.
• Experience working with Microsoft/Azure, Databricks, Snowflake, or other relevant AI technology ecosystems.
• Experience in IT services, consulting, digital engineering, or a similar customer-facing environment is preferred.