Senior Solutions Engineer – AI Security & Data Protection

Cyberhaven; Arkansas; On-site; USD 110,000 - 160,000; Full time

Job summary

Cyberhaven in the United States is seeking an experienced Senior Solutions Engineer to drive go-to-market initiatives, lead prospect engagements, and deliver demos and proofs of concept across the platform.

You will support Enterprise Sales from qualification through production hand-off, demonstrate multiple platform products in a unified narrative, and guide technical evaluations to a successful conclusion. Strong knowledge of agentic AI and cross‑platform endpoint agents is required.

Qualifications

• 4+ years in sales engineering or similar pre-sales/deployment of complex enterprise SaaS solutions.
• 4+ years experience with data protection and AI security solutions (DLP, IRM, DSPM, CASB, AI-Security).
• Proven ability to demo and run POCs across multiple products within a platform.
• Requires knowledge of Agentic AI architecture and securing it.

Responsibilities

• Support Enterprise Sales in pre-sales to production hand-off, often for large accounts (>2,500 employees).
• Create and deliver compelling messaging and demos that differentiate the platform from competitors.
• Demo multiple products in a single narrative and show how they work together.
• Lead POC ownership and guide evaluations to a successful conclusion.
• Advise customers on securing AI adoption and translate risks into outcomes.
• Maintain relationships with partners and enable channel partners in a channel-driven model.
• Collaborate with Product and Engineering for feedback on new features.

Skills

Sales engineering

Data protection

AI security

Product demos

Endpoint agents

Travel willingness

Communication

Team collaboration

Job description

Cyberhaven in the United States is seeking an experienced Senior Solutions Engineer to drive go-to-market initiatives, lead prospect engagements, and deliver demos and proofs of concept across the platform.

You will support Enterprise Sales from qualification through production hand-off, demonstrate multiple platform products in a unified narrative, and guide technical evaluations to a successful conclusion. Strong knowledge of agentic AI and cross‑platform endpoint agents is required.