Vice President Sales Engineering, North America

h2o.ai•Dallas, TX

About The Position

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 role is the technical backbone of our go-to-market engine and a key partner to the CRO, Sales, Product, and Engineering leadership. This position is based in Dallas, Texas.

Requirements

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

Nice To Haves

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)

Responsibilities

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