Mid-Market AI Solutions Engineer - Data & Architecture

Hightouch; Morgantown (WV); On-site; USD 112,000 - 220,000; Full time

Job summary

Hightouch is seeking a Mid-Market Solutions Engineer to drive the full technical sales motion from discovery to tailored demonstrations and rigorous validation. You will own relationships with technical champions and guide customers through multi-stakeholder buying committees on complex enterprise deals.

The role emphasizes architecture design, PoC execution, and collaboration with Product and Engineering to advance AI/agentic product strategies for enterprises.

Qualifications

• 2+ years of progressive pre-sales or solutions engineering experience in complex enterprise deals.
• Ability to lead technical discovery, architecture whiteboarding, and solution design for senior audiences.
• Deep familiarity with modern data ecosystems and APIs across architectures.
• Proven track record building technical champions in multi-stakeholder buying committees.
• Experience in competitive sales motions and value‑selling frameworks such as MEDDPICC.

Responsibilities

• Lead technical discovery to understand data architecture and business goals.
• Deliver tailored product demos and architectural solutions across Hightouch products.
• Run end-to-end PoCs: scoping, designing, executing, validating to close deals.
• Build relationships with data engineers, architects, and marketing technologists.
• Engage with executive stakeholders including C-suite during buying committees.
• Collaborate with Product/Engineering to shape go-to-market for AI/agentic products.
• Leverage AI tools to speed up demonstrations and impact.

Skills

Pre-sales

Solutions architecture

Data ecosystems

C-suite engagement

Demo design

Enterprise sales cycles

MEDDPICC familiarity

Tools

Salesforce

CRM tooling

Job description

Hightouch is seeking a Mid-Market Solutions Engineer to drive the full technical sales motion from discovery to tailored demonstrations and rigorous validation. You will own relationships with technical champions and guide customers through multi-stakeholder buying committees on complex enterprise deals.

The role emphasizes architecture design, PoC execution, and collaboration with Product and Engineering to advance AI/agentic product strategies for enterprises.