Resumen del rol

Solutions Engineer, Enterprise (Pre-Sales)- German speaking

Requisitos y responsabilidades

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What You’ll Do

  • 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

What We’re Looking For

  • 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.

What We’re Looking For

  • 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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