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Hightouch is an Agentic Marketing Platform powered by a Composable CDP, enabling marketing teams to build and ship end-to-end campaigns with complete brand context and customer data. Founded in 2019 and headquartered in San Francisco, Hightouch is a Gartner Leader in the Customer Data Platforms space, trusted by enterprises like Domino's, Spotify, and Ramp.
As a Solutions Engineer for Mid-Market West, you will own the technical sales motion from discovery through close. You'll partner with Account Executives to drive complex, multi-stakeholder buying cycles, serving as the technical expert who earns the win rather than assuming it.
Key responsibilities include:
- Lead technical discovery to understand customer data architecture, marketing workflows, and business objectives, translating findings into differentiated solution designs
- Design and deliver tailored product demonstrations and architectural solutions across Hightouch's product suite
- Run proof-of-concept engagements end-to-end with enterprise-grade rigor and discipline
- Build deep technical relationships with data engineers, architects, and marketing technologists as a trusted advisor
- Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives
- Serve as technical advisor for customers adopting AI workflows, data activation, and agentic capabilities; partner with Product and Engineering on go-to-market strategy
- Leverage modern AI tooling to improve speed and customer impact
Success means rapidly building product and use-case fluency in the first three months, independently closing deals and solving complex multi-product problems within six months, and raising the collective bar for the team within a year.
Required qualifications: 2+ years progressive pre-sales or solutions engineering experience with complex solution architecture across multi-stakeholder cycles; demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with technical and business audiences including C-suite; deep familiarity with modern data ecosystems (cloud data warehouses, data modeling, data engineering, integrations, APIs); proven ability to build technical champions and influence complex buying committees; experience in competitive sales motions with familiarity of value-selling frameworks like MEDDPICC or Command the Message; intellectual curiosity and humility; team-first orientation.
Bonus: hands-on experience with CDPs, Marketing Automation, or Data Warehouses; background collaborating with data engineering or analytics teams; experience in high-growth B2B SaaS at inflection points. Travel required for customer and team engagements.
