Enterprise Solutions Engineer: AI-Driven Technical Seller

Arc XP; Washington (District of Columbia); On-site; USD 119,700 - 199,300; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) match

Paid vacation

Paid sick leave

Paid holidays

Parental leave

Mental health resources

Caregiver support

Pet insurance

Free Post subscription

Leadership development

Job summary

The Washington Post is seeking an Enterprise Solutions Engineer to own the full technical sales cycle from discovery through proof‑of‑concept to close, acting as a trusted technical advisor for enterprise prospects and customers. You will guide compelling demonstrations and rigorous evaluations, with a focus on new logo acquisition and competitive displacement.

You will leverage AI tools to accelerate research, prep content, and scale impact while maintaining quality and credibility.

Qualifications

• 5+ years of experience in B2B SaaS Solutions Engineering or equivalent pre‑sales role.
• Proven ability to navigate complex enterprise evaluations and displace incumbents.
• Strong storytelling, demo delivery, and presentation skills for technical and executive audiences.

Responsibilities

• Lead full technical sales cycle from discovery to close.
• Deliver compelling, narrative‑driven demonstrations and POCs.
• Build trusted relationships with technical and executive stakeholders.

Skills

Enterprise SaaS experience

Technical pre-sales

Competitive displacement

Storytelling/presentation

POC management

Cloud platforms

AI tools usage

CRM discipline

Executive communication

Tools

REST APIs

JavaScript/React

Job description

The Washington Post is seeking an Enterprise Solutions Engineer to own the full technical sales cycle from discovery through proof‑of‑concept to close, acting as a trusted technical advisor for enterprise prospects and customers. You will guide compelling demonstrations and rigorous evaluations, with a focus on new logo acquisition and competitive displacement.

You will leverage AI tools to accelerate research, prep content, and scale impact while maintaining quality and credibility.