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Cyberhaven

AI-driven data lineage for insider risk

Technical Enablement Manager

Customer Education & TrainingConfirmed live in the last 24 hours
Full-timeRemote in USA$130k - $160k /yrRemote

About the Job

Requirements

  • A strong technical background in Sales Engineering, Solutions Architecture, Customer Success Engineering, or Technical Training, with the ability to understand a complex product in depth.
  • Comfort with cybersecurity and data security concepts, including data loss prevention, data security posture management, insider risk, data lineage, cloud and software-as-a-service security, endpoint security, identity, and artificial intelligence security, or the ability to learn adjacent areas quickly.
  • Understanding of the enterprise technical sales cycle, including discovery, demos, proofs of concept or value, architecture and security reviews, and technical win/loss, as well as coaching and performance measurement needs of sales engineering leaders.
  • Experience building enablement programs, content, or labs in a growth-stage business-to-business technology company with a fast-changing product and growing go-to-market team.
  • Experience helping teams adopt a value-selling methodology in a complex enterprise sales organization.
  • Ability to assess an individual sales engineer’s technical and selling skills, identify gaps, and build development plans.
  • Ability to create, facilitate, and present content for highly technical audiences, translating complex architecture and market dynamics into clear value stories for practitioners, chief information security officers, and executives.
  • Practical experience using artificial intelligence to improve enablement, such as content creation, call analysis, and coaching.

Responsibilities

  • Own technical onboarding for sales engineers and other technical go-to-market roles, including role-based ramp plans, hands-on labs, readiness milestones, and certifications.
  • Manage the technical training calendar, including product deep dives, architecture, integrations, deployment, competitive landscape, and technical selling skills.
  • Build and maintain hands-on learning resources, including demo environments, sandboxes, lab exercises, and proof-of-concept playbooks, so teams can practice realistic customer scenarios.
  • Create and deliver technical presentations, workshops, playbooks, and on-demand learning covering product internals and executive-level value stories.
  • Partner with Product, Engineering, and Product Marketing to turn new features, releases, and roadmap updates into timely enablement.
  • Reinforce adoption of the company’s value-selling methodology among technical teams through training, coaching support for sales engineering managers, proof-of-concept and opportunity reviews, and targeted follow-up.
  • Help sales engineers conduct discovery that connects technical capabilities to customer outcomes.
  • Set and maintain standards for organizing, owning, and maintaining accurate technical content.
  • Build role-specific development paths for sales engineers, solutions architects, and customer success engineers, and convert subject-matter expert knowledge into scalable training, certifications, and resources.
  • Support go-to-market and sales engineering leadership in executing Sales Kickoff, technical summits, and hands-on workshops.
  • Build and scale measurable technical enablement programs, content, and labs that develop technical go-to-market teams’ fluency in the platform and data security landscape.

Desired Qualifications

  • Experience building customer-facing training or technical certification programs for product users.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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