Solutions Engineer, Mid-Market West
The Solutions Engineer partners with Account Executives to lead technical discovery, solution architecture, demonstrations, and proof-of-concept engagements for mid-market customers. The role requires 2+ years of pre-sales or Solutions Engineering experience and strong familiarity with modern data ecosystems.
About the job
Responsibilities
- Lead technical discovery to understand customers’ data architecture, marketing workflows, and business objectives, translating them into requirements and solution designs.
- Design and deliver tailored product demonstrations and architectural solutions across Hightouch’s product suite.
- Run proof-of-concept engagements end to end, including scoping, design, execution, and validation.
- Build technical relationships with data engineers, architects, and marketing technologists.
- Navigate multi-stakeholder buying committees involving technical teams, marketing leaders, and C-suite executives.
- Advise customers adopting AI workflows, data activation, and agent-based decisioning capabilities.
- Partner with Product and Engineering on go-to-market strategy for emerging AI and agentic products.
- Use modern AI tooling to improve the Solutions Engineering workflow.
- Travel for customer and team engagements.
Requirements
- 2+ years of progressive pre-sales or Solutions Engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
- Experience leading technical discovery, architectural whiteboarding, and solution design for technical and business audiences, including C-suite stakeholders.
- Deep familiarity with modern data ecosystems, including cloud data warehouses, data modeling, data engineering, integrations, and APIs.
- Ability to build technical champions and influence buying committees across engineering, marketing, and executive levels.
- Experience with competitive sales motions.
- Intellectual curiosity, ambition, humility, and a team-first orientation.
Nice-to-haves
- Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks.
- Hands-on experience with Customer Data Platforms, marketing automation, data warehouses, or similar technologies.
- Experience collaborating with data engineering, data science, or analytics teams.
- Experience at a high-growth B2B SaaS company scaling through a significant inflection point.
Compensation and Benefits
- On-target earnings: $160,000–$220,000 annually.
- Base salary: $112,000–$154,000 annually.
- Meaningful equity compensation through ISO options, including early exercise and a 10-year post-termination exercise window.
Skills
Customer Data Platforms, Marketing Automation, Data Warehouses, Data Modeling, Data Engineering, APIs, Integrations, Solutions Architecture, Architectural Whiteboarding, MEDDPICC, Command The Message, AI Workflows
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