H2O.ai

Senior Sales Engineer

H2O.ai$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in pre-sales or solution architecture roles specializing in enterprise AI/ML platforms.
  • Hands-on expertise in Generative AI, LLM fine-tuning, and predictive ML algorithms.
  • Experience with cloud-native deployments (AWS, Azure, GCP) and Kubernetes integration.
  • Exceptional technical storytelling skills for diverse audiences, from IT executives to risk managers.
  • Excellent presentation and communication capabilities, comfortable engaging with C-level executives.
  • Familiarity with H2O.ai products or competitors in the AI/ML space is beneficial.
  • Willingness to travel up to 50% for client engagement.

Responsibilities

  • Partner with Sales to drive pre-sales success through technical solution design and proposals.
  • Execute impactful proof of concept projects demonstrating ROI using H2O.ai's platform.
  • Create custom AI/ML solutions tailored to various industry verticals.
  • Showcase expertise in fine-tuning LLMs and building sophisticated multi-agent systems.
  • Design reference architectures for enterprise deployments across various environments.
  • Architect solutions leveraging the full H2O stack for comprehensive AI implementation.
  • Guide clients in MLOps, CI/CD, and application governance for production readiness.

Benefits

  • Market-leading total rewards package.
  • Remote-friendly work culture allowing flexibility.
  • Career growth opportunities within a world-class team.
  • Flexible working environment tailored to employee needs.
  • Commitment to diversity and inclusion in the workplace.
Full Job Description
About This Opportunity

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.
What You Will Do
  • 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.
What We Are Looking For
  • 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.
How to Stand Out
  • 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).

Why H2O.ai?
  • Market Leader in Total Rewards
  • Remote-Friendly Culture
  • Flexible working environment
  • Be part of a world-class team
  • Career Growth

#LI-Hybrid

About H2O.ai

H2O.ai is an open-source software company that provides AI and machine learning solutions for businesses. The company's platform allows users to build and deploy machine learning models quickly and easily, without requiring extensive programming knowledge. H2O.ai's customers include some of the world's largest companies, across a range of industries, including finance, healthcare, and retail. The company was founded in 2012 and is headquartered in Mountain View, California.
Learn more about H2O.ai
Size
200 employees
Industry
Founded
2012

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