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Hightouch is an Agentic Marketing Platform built on a Composable CDP, enabling marketing teams to build and ship end-to-end campaigns with AI assistance. Founded in 2019 and headquartered in San Francisco, Hightouch is a Gartner Magic Quadrant Leader trusted by enterprises like Domino's, Spotify, and Ramp.
You'll join a lean, world-class Product Team that invented Reverse ETL, pioneered Composable architecture, and recently launched Agentic Marketing. This role owns the core portfolio that drives the majority of Hightouch's revenue: the interfaces marketers live in daily.
Your portfolio spans five interconnected areas: Audiences (segmentation and targeting), Charts & Dashboards (analytics and performance monitoring), Experiments (automation and measurement for cross-channel testing), Trait Building (no-code custom logic and data attributes), and Orchestration (campaign and journey sequencing primitives). You'll be the single dedicated owner accountable for the health, direction, and growth of this core surface area.
The role blends multiple modes of product work: 0-1 innovation, deepening established surfaces, and scaling emerging areas. You'll drive prioritization aligned with company revenue goals, including building global orchestration primitives for Fortune 100-class programs, expanding audience targeting for advanced use cases like couponing and live auctions, and transforming analytics and experimentation to integrate with Agentic Marketing.
This is a senior, hands-on role functioning as a product GM. You'll be fully accountable for both product adoption and go-to-market success, leading multiple Engineering and Design workstreams. You'll present frequently to customers, work directly with executives, and shape company strategy.
You're a relentless customer champion with deep technical aptitude—fluent in both engineering and business. You're a strong communicator who distills complex ideas into compelling narratives, thrive in high-energy environments with rapid iteration, and operate with an outcome mindset focused on strategic impact rather than feature output.
