AI Solutions Engineer, Senior Enterprise, New York

Hightouch Hightouch · Data AI · New York, NY +1 · Sales

This role is for a Senior Enterprise Solutions Engineer at Hightouch, a company that provides an AI platform for marketing and growth teams. The role involves owning the technical sales motion, including discovery, solutioning, demonstrations, and technical validation. The engineer will partner with Account Executives, build relationships with technical champions, and guide customers through complex sales cycles. The company operates at the intersection of agentic AI and cloud data warehouses, solving problems in marketing and data.

What you'd actually do

  1. 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.
  2. Design and deliver tailored product demonstrations and architectural solutions spanning Hightouch’s Customer Studio, Identity Resolution, Match Booster, and Agentic Marketing Platform.
  3. Run proof-of-concept engagements end-to-end: scoping, designing, executing, and validating with the discipline and rigor required to close complex enterprise deals.
  4. Build deep technical relationships with data engineers, architects, and marketing technologists becoming their trusted advisor.
  5. Navigate complex buying committees, engaging confidently with technical teams, marketing leaders, and C-suite executives

Skills

Required

  • 7+ years of progressive enterprise pre-sales or solutions engineering experience
  • 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
  • Proven ability to build technical champions and influence complex buying committees across engineering, marketing, and executive levels.
  • Experience in competitive enterprise sales motions.

Nice to have

  • 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.
  • Familiarity with MEDDPICC, Command the Message, or equivalent value-selling frameworks

What the JD emphasized

  • own the technical win
  • complex enterprise sales cycles
  • earn the technical win, not assume it
  • complex, multi-stakeholder buying committees
  • complex solution architecture across multi-stakeholder buying cycles
  • complex buying committees