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Deployment Architect

Hightouch · Remote · Anywhere in the World · posted 29 days ago (2026-09-30)

Full-TimeRemoteExperience 5+ yrsEngineering

Skills: Product

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Job description

Headquarters: Remote (North America) About Hightouch 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. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About The Role As an Deployment Architect, you will be the force behind successful deployments at Hightouch. Working in close partnership with an account team and the Hightouch product team, you will own the full deployment and enablement lifecycle for Hightouch customers. You will be the primary point of contact for customers during deployment and are responsible for executing the technical aspects of customer onboarding, ensuring seamless integration of Hightouch into customers' existing data infrastructure. In this role, you will be the product expert who translates complex customer requirements into actionable implementation plans. You should have a natural ability to communicate technical concepts clearly to both data engineering teams and business stakeholders. As the primary owner of the d

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