AI Solutions Engineer, Senior Enterprise, New York

Rozgoo; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Hightouch is seeking a Senior Enterprise Solutions Engineer in New York to drive the full technical sales motion from discovery to tailored demonstrations and rigorous validation. You will own relationships with technical champions, co-develop account strategy, and navigate multi-stakeholder buying committees to win technical proof points.

You’ll become a product expert and trusted advisor to enterprise buyers, shaping go-to-market with Product and Engineering while advancing AI-enabled

Qualifications

• 7+ years of enterprise pre-sales or solutions engineering experience.
• Ability to lead technical discovery, architectural whiteboarding and solution design.
• Deep familiarity with modern data ecosystems: cloud data warehouses, data modeling, data engineering, integrations, and APIs.

Responsibilities

• Lead technical discovery to deeply understand a customer’s data architecture, marketing workflows, and business objectives; translate into requirements and a solution design.
• Design and deliver tailored product demonstrations and architectural solutions across Hightouch offerings.
• Run end-to-end proof-of-concept engagements: scoping, designing, executing, and validating to close complex enterprise deals.
• Build deep technical relationships with data engineers, architects, and marketing technologists as a trusted advisor.
• Navigate complex buying committees, engaging with technical teams, marketing leaders, and C-suite executives.
• Serve as a technical advisor adopting AI workflows, data activation, and agentic products; collaborate with Product and Engineering on GTM strategy.
• Leverage modern AI tooling to improve speed, creativity, and customer impact across the SE workflow.

Skills

Enterprise pre-sales

Solution architecture

Data ecosystems

APIs

C-suite communication

Technical discovery

Job description

About Hightouch

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.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

This role is for someone who wants to own the technical win. As a Senior Enterprise Solutions Engineer at Hightouch, you will partner with your Account Executives to drive the full technical sales motion from deep discovery and architectural solutioning to tailored product demonstrations and rigorous technical validation. You will own relationships with technical champions, co-develop account strategy, and guide customers to our solutions by navigating complex, multi-stakeholder buying committees and running competitive enterprise sales cycles. We leverage a disciplined value-selling motion, and are looking for deep 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. We are solving real, complex problems at the intersection of marketing and data. As a senior SE, you will become a product expert, a trusted advisor to enterprise buyers, and a meaningful contributor to a team that is still early in building something significant.

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.


• Serve as a technical advisor to enterprise customers adopting cutting-edge AI workflows, data activation, and decisioning capabilities using agents. Partner directly with Product and Engineering to shape the go-to-market strategy for Hightouch’s emerging AI and agentic products.


• Leverage modern AI tooling to improve speed, creativity, and customer impact across the Solutions Engineering workflow.

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. You will begin contributing beyond your own deals and raising the collective bar for the team within a year.

What We’re Looking For

Required

• 7+ years of progressive enterprise 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 wit