Senior Sales Engineer

h2o.ai•San Francisco, CA

1d•Hybrid

About The Position

We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in San Francisco, California.

Requirements

5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms.
Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms.
Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration.
Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer.
Excellent presentation and communication skills: confident in front of C-level executives and technical teams.
Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus.
Willingness to travel up to 50% to support strategic accounts.

Nice To Haves

Experience running POCs, pilots, and executive workshops that accelerate AI adoption.
Familiarity with enterprise security, compliance, and governance in AI deployments.
Demonstrated thought leadership (talks, blogs, open-source contributions).
Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).

Responsibilities

Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals.
Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI
Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector).
Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines.
Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously.
Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem.
Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis
Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready.
Work closely with Product Management to influence the product roadmap based on customer and field insights.
Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.