Senior Solutions Engineer: Data Security & AI

Cyberhaven; Oklahoma; On-site; USD 120,000 - 160,000; Full time

Job summary

Cyberhaven is seeking an experienced Senior Solutions Engineer to drive pre-sales engagements, deliver compelling demos, and own proofs of concept that showcase how our data protection and AI-security platform secures enterprise workloads.

You will collaborate with Enterprise Sales, Product, and Engineering, translate customer risks into technical outcomes, and help customers adopt agentic AI while traveling to events and conferences as needed.

Qualifications

• 4+ years of experience as a Sales Engineer or similar in SaaS pre-sales.
• 4+ years experience with data protection and AI security solutions (DLP, IRM, DSPM, CASB).
• Ability to demo and run POCs across multiple products within a single platform.
• Knowledge of Agentic AI architecture and secure deployment practices.
• 4+ years experience with cross-platform endpoint agents (Windows/Mac/Linux).
• Willingness to travel to events and conferences.
• Strong communication and consulting skills with a proven sales presence.

Responsibilities

• Support Enterprise Sales with pre-sales from qualification through hand-off.
• Create and deliver messaging and demos differentiating Cyberhaven.
• Demonstrate multiple products within the platform in integrated scenarios.
• Lead POC ownership and guide evaluations to a successful conclusion.
• Advise customers on securing AI adoption and translate risks into outcomes.
• Maintain partner relationships and enable channel partners.
• Collaborate with Product and Engineering on field feedback.

Skills

Sales engineer

Data protection

AI security

POC demos

Agentic AI

Cross-platform agent

Sales presence

Job description

Cyberhaven is seeking an experienced Senior Solutions Engineer to drive pre-sales engagements, deliver compelling demos, and own proofs of concept that showcase how our data protection and AI-security platform secures enterprise workloads.

You will collaborate with Enterprise Sales, Product, and Engineering, translate customer risks into technical outcomes, and help customers adopt agentic AI while traveling to events and conferences as needed.