Cyberhaven

Principal Solutions Engineer

Cyberhaven
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12 days ago
United Kingdom (city not specified)Staff+

Responsibilities

  • Support Enterprise Sales teams in a pre-sales capacity from opportunity qualification through production hand-off for large enterprise accounts.
  • Create and deliver product messaging, demonstrations, and solution presentations that differentiate Cyberhaven from competitors and legacy solutions.
  • Own proofs of concept and guide technical evaluations through successful completion.
  • Maintain technical relationships with key partners and enable channel partners in a channel-driven sales model.
  • Collaborate with Product Management and Engineering on new feature releases and provide field-based feedback on product capabilities.
  • Travel to cover events and conferences.

Requirements

  • 7+ years of experience as a Sales Engineer or in a similar role involving complex pre-sales or deployment of enterprise solutions, especially in SaaS sales.
  • 4+ years of experience with data protection and AI security solutions, including DLP, IRM, DSPM, CASB, or AI Security.
  • Proven ability to demonstrate and run proofs of concept across multiple products within a single platform to solve complex cross-functional business problems.
  • Current knowledge of agentic AI architecture, including agents, tool use, MCP, and autonomous workflows, and how to secure it.
  • 4+ years of experience with a cross-platform endpoint agent solution across Windows, Mac, and/or Linux.
  • Strong sales presence, superior communication skills, multitasking ability, prioritization, and independent and collaborative problem-solving skills.
  • Located in the UK region.

Tech Stack

LinuxWindows

Categories

Solutions Engineering
Cyberhaven

About Cyberhaven

201-500 employees

Cyberhaven builds an enterprise data security platform that traces data lineage and enforces policy to prevent loss and insider risk across endpoints, SaaS, and cloud. It sells software and SaaS subscriptions to security teams to replace or augment DLP and DSPM with real-time protection that adapts to workflow context, including human and AI agent activity. Founded in 2016 and headquartered in Palo Alto, California, the company is privately held.

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