Vice President Sales Engineering, North America

VP Of Sales Engineering For The Americas

H2O.ai is at a defining moment in the enterprise AI market. As organizations move from experimentation to production-scale predictive, generative, and agentic AI, the need for trusted, sovereign, enterprise-grade AI platforms has never been greater. We are hiring a VP of Sales Engineering for the Americas to lead the most strategic region for H2O.ai, driving technical win strategy across North America and LATAM, and shaping how enterprise AI is adopted at scale. This position is based in Dallas, Texas.

What You Will Do

• Lead the Americas SE Organization
• Build, scale, and lead a high-performance Sales Engineering team across North America and LATAM
• Establish a culture of technical excellence, urgency, and accountability
• Design the operating model to support enterprise-scale deal velocity and complexity
• Own the Technical Win Strategy for the Americas
• Drive KPIs across the region: win rates, POV/POC conversion, deal cycle velocity, and expansion influence
• Build repeatable frameworks for enterprise POVs tied to measurable business outcomes
• Partner with Sales leadership on territory design, deal strategy, and pipeline quality
• Be the Executive Technical Advisor
• Engage directly with LOB's, CIOs, CTOs, CDOs, and AI leaders at Fortune 500 organizations
• Translate AI capabilities into clear, quantified business impact
• Lead the technical strategy for our largest and most complex deals
• Architect Enterprise AI at Scale
• Guide customers across:
• Data ingestion and pipelines
• ML and LLM development
• RAG and agentic workflows
• Production deployment and observability
• Support architectures across cloud, hybrid, and fully air-gapped environments
• Drive Competitive Differentiation
• Equip the field to win on performance, trust, and enterprise readiness
• Shape Product and Market Direction
• Act as the voice of the customer for the Americas
• Influence Product and Engineering based on real-world enterprise needs
• Ensure tight alignment between field execution and platform evolution
• Drive Expansion and Long-Term Value
• Partner with Customer Success to ensure adoption, expansion, and retention
• Support strategic partnerships (NVIDIA, hyperscalers, GSIs) in regional GTM execution

What We Are Looking For Required

• 12+ years in Sales Engineering, Solutions Architecture, or technical GTM leadership in AI/ML or enterprise software
• 5+ years leading and scaling high-performing SE teams
• Deep expertise in:
• Machine Learning, LLMs, RAG, and agentic AI
• Python and modern ML frameworks (e.g., PyTorch, scikit-learn, Spark)
• Strong experience across AWS, Azure, GCP, and hybrid/on-prem architectures
• Proven success influencing C-level executives and winning complex enterprise deals
• Ability to connect technical capabilities to business outcomes and ROI

Preferred

• Experience scaling SE teams in high-growth or transformation environments
• Background in regulated industries (Financial Services, Healthcare, Public Sector, Telco)
• Familiarity with enterprise AI platforms (H2O.ai, Databricks, Snowflake, etc.)
• Experience with value-based selling frameworks (MEDDPICC, Challenger, Force Management)

Why H2O.ai

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations worldwide have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.