Latent AI, Inc. logo

Customer Enablement Trainer

Job Overview

Location

Remote

Job Type

Full-time

Category

Product Management

Date Posted

May 22, 2026

Full Job Description

đź“‹ Description

  • • Lead live virtual and onsite training sessions for clinical, operational, and IT user groups to drive proficiency and adoption of Latent AI’s platform
  • • Deliver role-based enablement content tailored to clinicians, pharmacists, and operational leaders, reinforcing best practices and real-world workflow integration
  • • Facilitate hands-on product walkthroughs, Q&A sessions, and office hours to support customer onboarding and ongoing product usage
  • • Own end-to-end go-live training execution to ensure customer readiness and successful platform launches
  • • Design and develop engaging training materials including slide decks, quick-start guides, video tutorials, e-learning modules, and workflow job aids
  • • Customize training curricula based on specific customer use cases, clinical workflows, and user roles to maximize relevance and impact
  • • Collaborate with Product and Product Marketing teams to ensure training content remains aligned with product releases and feature updates
  • • Serve as a subject matter expert on Latent’s AI-powered features, workflows, and applied healthcare use cases
  • • Assess customer training needs and recommend optimal blends of live, virtual, and asynchronous learning methods
  • • Collect and analyze participant feedback to iterate on training programs, improving quality, engagement, and effectiveness
  • • Support customer adoption goals by reinforcing key behaviors and tracking success metrics post-implementation
  • • Partner with Implementation and Account Management teams to align training objectives with customer success goals and implementation timelines
  • • Share frontline insights from training sessions to inform product improvements, feature prioritization, and enablement strategy
  • • Work closely with Clinical and Technical teams to ensure all training materials are accurate, compliant, and meet healthcare industry standards
  • • Operate autonomously in a fast-paced startup environment while maintaining high standards of accuracy and customer focus
  • • Drive customer success by translating complex AI-driven workflows into intuitive, actionable experiences for non-technical healthcare users
  • • Maintain a deep commitment to improving healthcare outcomes through effective user enablement and education

🎯 Requirements

  • • 3–6+ years in customer enablement, training, or education within SaaS, healthcare technology, digital health, or clinical operations
  • • Experience training clinicians or healthcare operational users strongly preferred
  • • Background in implementation, customer success, or clinical education is a plus
  • • Exceptional facilitation skills with ability to engage diverse audiences with clarity, confidence, and empathy
  • • Proven instructional design and curriculum development capabilities
  • • Ability to simplify complex AI-driven workflows into intuitive, user-friendly experiences

🏖️ Benefits

  • • Mission-driven team tackling one of healthcare’s biggest challenges
  • • High-ownership culture with meaningful growth opportunities
  • • Competitive compensation, equity, and benefits
  • • Work alongside leading experts in AI, healthcare, and product innovation

Skills & Technologies

Remote

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Latent AI, Inc. logo
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About Latent AI, Inc.

Latent AI provides an edge AI optimization and deployment platform that compresses, compiles, and secures machine-learning models for resource-constrained devices. Its toolkit, Latent AI Efficient Inference Platform (LEIP), enables developers to reduce model size and latency while maintaining accuracy, targeting automotive, defense, and industrial IoT applications. Founded in 2018 as a spinout of SRI International, the company accelerates edge ML workflows from research to production, offering SDKs, runtime libraries, and cloud-based orchestration to streamline continuous integration and deployment across CPUs, GPUs, DSPs, and custom accelerators.

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