Solutions Engineer EMEA (German speaking)

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Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated requirements and a compelling solution design.
Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

3+ years of progressive pre-sales or solutions engineering experience, including complex solution architecture across multi-stakeholder buying cycles.
Demonstrated ability to lead technical discovery, architectural whiteboarding, and solution design with both technical and business audiences, including C-suite stakeholders.
Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs - and the ability to navigate a customer’s data architecture confidently without needing to be a hands-on practitioner.
Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
Experience in competitive enterprise sales motions. Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks is a strong plus.
Intellectual curiosity, high ambition, and humility. You want to keep getting better, and you are honest about what you do not yet know.
A team-first orientation where you elevate the people around you, operate within shared frameworks and processes, and measure yourself by more than your own quota.

Hands-on experience with Customer Data Platforms (CDPs), Marketing Automation, Data Warehouses, or similar technologies at the integration, architecture, or use case level.
Background collaborating with data engineering, science, or analytics teams, either as a customer or in a prior role.
Experience in a high-growth B2B SaaS company scaling through a significant inflection point.

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