Deployment Architect

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.

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 deployment lifecycle, your focus is on creating repeatable, efficient implementation processes that scale across our customer base while maintaining the flexibility to address unique enterprise needs.

• Drive the onboarding process for customers, working closely with the Account team to ensure alignment between technical execution and customer success objectives

• Design and optimize deployment frameworks that can scale across different customer segments while accommodating enterprise-specific requirements

• Lead technical discovery sessions and implementation workshops, collaborating with customer data engineering teams and business stakeholders

• Create and maintain detailed technical documentation for deployments, including integration specifications, data models, and best practices

• Develop and execute implementation plans that minimize time-to-value while ensuring robust, sustainable solutions

• Partner with Product and Engineering to identify and resolve technical blockers that could impact customer success

• Build relationships with technical stakeholders within customer organizations

• Contribute to product development by providing feedback to our engineering team

• Standardize and automate implementation processes to increase team efficiency and customer satisfaction

• 5-10 years of experience in technical implementation, solutions architecture, or similar roles with enterprise software

• Strong technical background with hands-on experience in data integration, APIs, and enterprise architecture

• Proven track record of successfully managing complex technical implementations while maintaining clear communication with a variety of stakeholders

• The ability to tackle the most ambiguous customer problems (the "that can't be done" ones) and find a creative paths to successful implementation

• Experience creating and optimizing implementation processes that can scale across an organization

• Excellence in technical project management with ability to manage multiple concurrent implementations

• Strong presentation and facilitation skills with ability to command a room of technical and business audiences

• Experience working with data warehouses, ETL processes, and marketing technology is a plus

• Bachelor's degree (or equivalent experience)