Solutions Engineer, Enterprise West (Pre-Sales)
New
H
HightouchB2B SaaS
Remote (North America)Full-TimeSenior
SalaryOn-Target Earnings: $190,000–$250,000 annually; Base Salary: $133,000–$175,000 annually
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Job Details
- Experience
- 5+ years of progressive enterprise pre-sales or solutions engineering experience
- Required Skills
- Data engineeringRESTful APIsData modeling
Requirements
- Bring 5+ years of progressive enterprise pre-sales or solutions engineering experience.
- Have experience with complex solution architecture across multi-stakeholder buying cycles.
- Lead technical discovery, architectural whiteboarding, and solution design for technical and business audiences, including C-suite stakeholders.
- Know modern data ecosystems, including cloud data warehouses, data modeling, data engineering, integrations, and APIs.
- Build technical champions and influence buying committees across engineering, marketing, and executive levels.
- Have experience in competitive enterprise sales motions.
- Be willing to travel for customer and team engagements.
- Experience with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
- Hands-on experience with CDPs, marketing automation, data warehouses, or similar technologies is a bonus.
- Experience collaborating with data engineering, science, or analytics teams is a bonus.
- Experience at a high-growth B2B SaaS company is a bonus.
Responsibilities
- Lead technical discovery to understand customers’ data architecture, marketing workflows, and business objectives.
- Translate customer needs into differentiated requirements and compelling solution designs.
- Design and deliver tailored demonstrations and architectural solutions across Hightouch products.
- Scope, design, execute, and validate proof-of-concept engagements end-to-end.
- Build technical relationships with data engineers, architects, and marketing technologists.
- Navigate buying committees with technical teams, marketing leaders, and C-suite executives.
- Advise enterprise customers adopting AI workflows, data activation, and agent-based decisioning.
- Partner with Product and Engineering to shape go-to-market strategy for emerging AI products.
- Use modern AI tooling across the Solutions Engineering workflow.
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