Solutions Engineer (Pre-Sales) (AI)

TL;DR

Solutions Engineer (Pre-Sales) (AI): Leading end-to-end pre-sales engagements for an AI-powered privacy governance platform with an accent on solution design and technical validation. Focus on delivering customized product demonstrations, managing proof-of-concepts, and translating complex technical requirements into business value for C-suite stakeholders.

Location: Hybrid (Must be commutable to Greenville, DE or Tysons, VA; in-office 2 days/week)

Salary: $100k–$130k base + bonus

Company

A fast-growing SaaS company providing an enterprise-grade AI-powered privacy governance platform for Fortune 500 companies across various industries.

What you will do

• Lead end-to-end pre-sales engagements including discovery, solution design, tailored demos, and POC management.
• Deliver customized product demonstrations to technical architects, engineers, and executive stakeholders (CIOs, CISOs).
• Configure and troubleshoot demo environments using REST APIs, SQL, JavaScript, Python, and cloud infrastructure (AWS/Azure).
• Partner with the sales team to respond to RFIs/RFPs and produce technical documentation like SOWs and flow charts.
• Act as a technical bridge between prospects and the product/engineering team to translate market feedback.
• Support integration discussions across cloud environments and enterprise tech stacks (IAM, SSO, encryption, NoSQL).

Requirements

• 5–7+ years of experience in pre-sales or solutions engineering at a B2B SaaS or enterprise software company.
• Bachelor's degree in Computer Science or a related technical field.
• Hands-on technical proficiency with REST APIs, SQL, and at least one cloud platform (AWS or Azure).
• Coding/scripting exposure in LAMP stack, JavaScript, jQuery, Python, or SQL.
• Authorization to work in the US without visa sponsorship or transfer.
• Must be commutable to Greenville, DE or Tysons, VA and able to work in-office 2 days/week.

Culture & Benefits

• 100% employer-paid medical, dental, and vision insurance for employees.
• Company-paid relocation support available for the right candidate.
• High-impact role in a scaling company within the rapidly growing data privacy sector.
• Collaborative, mission-driven environment with lean teams and high ownership.

Hiring process

• HR Screening.
• Phone interview with the Hiring Manager regarding general fit.
• On-site deep-dive interview.
• Reference and background checks.