Solutions Engineer, AI Privacy Platform

Job Overview

Join a fast-growing SaaS company in the data privacy space as the technical partner to sales. You’ll help Fortune 500 customers understand how an AI-powered privacy platform fits their architecture, run POCs, and unblock technical questions that stand between “interest” and “signed deal.”

About the Company

Our client builds an AI-powered privacy governance platform used by large enterprises across retail, financial services, healthcare, and telecom. The product automates consent management, data mapping, DSARs, PII discovery, and vendor risk workflows so teams can scale compliance without scaling headcount.

Key Responsibilities

• Run the technical side of the sales process: discovery, solution outline, tailored demos, and POCs


• Deliver live demos and technical presentations to both engineers and executives


• Configure and troubleshoot demo/POC environments using REST APIs, SQL, and a major cloud platform (AWS or Azure)


• Do light scripting or coding (JavaScript, Python, SQL, or similar) to wire up integrations and customize demos


• Define POC success criteria, keep stakeholders aligned, and drive to technical sign-off


• Create simple diagrams and documentation that explain how the platform fits into a customer’s stack


• Feed what you see in the field back to product and engineering

Required Qualifications

• 5–7 years of experience in B2B SaaS or enterprise software


• Bachelor’s degree in Computer Science or a related technical field


• Recent experience at a product company in a customer-facing, technical pre-sales role


• Comfortable presenting and whiteboarding with both technical teams and CIO/CISO-level stakeholders


• Hands-on with REST APIs, SQL, and at least one cloud provider (AWS, Azure)


• Able to script/code enough to stand up and debug demos (JavaScript, Python, SQL, or comparable)


• Based within commuting distance of Greenville, DE or Falls Church, VA and able to be in-office 2–3 days/week

Nice-to-Have Experience

• Data privacy, security, or data governance concepts (GDPR, CCPA, DSARs, data mapping)


• IAM/SSO, encryption, or NoSQL / big data environments


• Working with large, complex enterprises

Benefits

Category with tailwinds: privacy, AI, and regulation intersecting
Real scope: small team, visible deals, direct line to product and leadership
Base: $100K–$130K + 20K bonus
100% employer-paid medical, dental, and vision for employees; 50% for dependents
Relocation support if you’re the right fit but outside commuting range