AI Solutions Engineer, Enterprise East

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

Enterprise Solutions Engineer at Hightouch, a company building an AI platform for marketing and growth teams. This role focuses on the technical sales motion, partnering with Account Executives to drive technical wins through discovery, solutioning, demonstrations, and technical validation. The role requires deep understanding of customer data architecture and marketing workflows, and guiding customers through complex enterprise sales cycles. Hightouch is at the intersection of agentic AI and cloud data warehouses.

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

  • 5+ years of progressive enterprise pre-sales or solutions engineering experience
  • complex solution architecture
  • multi-stakeholder buying cycles
  • technical discovery
  • architectural whiteboarding
  • solution design
  • modern data ecosystems
  • cloud data warehouses
  • data modeling
  • data engineering
  • integrations
  • APIs
  • customer data architecture
  • technical champions
  • complex buying committees
  • 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.
  • MEDDPICC, Command the Message, or equivalent value-selling frameworks

What the JD emphasized

  • 5+ years of progressive enterprise pre-sales or solutions engineering experience
  • complex solution architecture
  • multi-stakeholder buying cycles
  • lead technical discovery
  • architectural whiteboarding
  • solution design
  • modern data ecosystems
  • cloud data warehouses
  • data modeling
  • data engineering
  • integrations
  • APIs
  • navigate a customer’s data architecture confidently
  • build technical champions
  • influence complex buying committees
  • competitive enterprise sales motions