Global Head of SE

Title:

Global Head of Sales Engineering

The Global Head of Sales Engineering will lead, scale, and inspire our global team of Solutions Engineers, Pre‑Sales Architects, and AI Specialists. You will define the global technical pre‑sales strategy, ensuring that our field teams can effectively articulate Kore.ai’s competitive edge in agentic enterprise AI platforms and multi‑agent frameworks.

This is a high‑impact, executive‑level role requiring a unique blend of deep technical competency in Agentic AI, Models, Frameworks, Applications, and elite enterprise sales acumen. You will partner directly with our Global Sales leaders to win strategic Fortune 500 accounts and work closely with Product and Engineering to guide our future roadmap.

Articulating vision, innovation, and the ability to clearly communicate the benefits of Kore.ai as compared to other market offerings such as Microsoft AI Foundry, AWS, Google, Langchain and related enterprise AI frameworks based on deep technical knowledge and experience is critical.

San Mateo, CA / New York, NY / Hybrid or Remote

Global Sales / Go‑To‑Market (GTM)

Chief Revenue Office (CRO)

• Build & Cultivate: Lead, mentor, and grow a world‑class, globally distributed team of Sales Engineers and Solutions Architects across North America, EMEA, APAC, and LATAM.
• Playbook Development: Standardize global pre‑sales methodologies, demo frameworks, and proof‑of‑concept (POC) playbooks to compress enterprise sales cycles and increase win rates.
• Resource Allocation: Optimize technical talent allocation for mid‑market vs. strategic enterprise accounts, matching specialized technical expertise to high‑value opportunities.

• Executive Advisory: Act as a trusted strategic advisor to C‑level prospects (CEOs, CIOs, CTOs, CISOs), translating complex generative AI capability into clear, data‑backed ROI and business transformation roadmaps.
• Architectural Excellence: Guide the team in designing highly secure, scalable architectures that seamlessly integrate Kore.ai with complex enterprise ecosystems (Contact Center infrastructure/CCaaS, CRM, ERP, and IAM tools).
• Value Engineering: Partner with account executives to establish frameworks for business‑case validation, total cost of ownership (TCO), and automated value metrics.

• Product Feedback Loop: Act as a primary conduit back into Product Management and R&D, synthesizing field intelligence, competitive gaps, and customer feature requests into actionable product enhancements.
• Implementation Hand‑off: Establish seamless operational hand‑offs from Pre‑Sales to Professional Services and Delivery teams, ensuring 100% downstream customer success.
• Enablement: Collaborate with Revenue Enablement to keep the global sales engineering organization certified on the latest platform capabilities, Generative AI innovations, and security compliance standards.

• Minimum of 12 years of technical pre‑sales / solution consulting experience within enterprise B2B software, SaaS, or Cloud platforms required.
• Minimum of 5 years in a global or high‑growth regional leadership capacity, managing multi‑tier Sales Engineering managers and individual contributors required.
• Deep AI Domain Expertise: Direct experience working within the AI/ML ecosystem, specifically with Conversational AI, Generative AI/LLMs, NLU, or automated Contact Center (CCaaS/IVR) technologies required.
• Enterprise Track Record: Proven history of personally anchoring and closing multi‑million‑dollar technical sales cycles with Fortune 500 companies required.

• Architectural Fluency: Solid understanding of API integrations, cloud‑native deployments (AWS, Azure, GCP), data privacy architectures, and enterprise security guardrails.
• Elite Presentation
  
  Skills:
  
  Outstanding ability to captivate an audience—whether whiteboarding a complex multi‑agent orchestration workflow for a CTO or discussing business outcomes with a business unit VP.
• The "Whatever It Takes" Attitude: An entrepreneurial mindset characterized by creative problem‑solving, resilience in high‑velocity competitive environments, and a passion for building from the ground up.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline. An MBA or advanced technical degree is highly preferred.