engineering
Posted Apr 21Senior Enterprise Solutions Engineer, New York
at Hightouch
New York, United StatesOn-site
Responsibilities
- Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; and translate that into differentiated
- 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 Success Looks Like
- Quickly build technical expertise, moving from foundational product, use case, and demo fluency in the first three months to independently closing deals and solving complex, multi-product problems within six months.
Requirements
- Hightouch is the modern AI platform for marketing and growth teams.
- Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
- Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks.
- Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
- experience in enterprise sales cycles where you have had to earn the technical win, not assume it.
- Hightouch sits at the intersection of two powerful technological shifts: the rise of agentic AI and the maturation of the cloud data warehouse.
- 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.