About the company
Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.
Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.
Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.
Responsibilities
- 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.
Requirements
- 5+ 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 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.
- 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.
Bonus qualifications
- 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.
- Experience in a high-growth B2B SaaS company scaling through a significant inflection point.
Conditions
- Travel required for customer and team engagements.