Hightouch

The Product Lead, Agentic Ads Platform will own the product strategy and roadmap for Hightouch's AI-powered marketing platform, focusing on AI agents that automate and optimize advertising workflows. This involves research, creative production, campaign management, and performance analysis across multiple ad platforms. The role emphasizes agent orchestration, content generation with brand trust, and leveraging a warehouse-native data foundation to provide marketing and brand context to AI agents.

Founding Product Manager for Hightouch's Agentic Personalization pillar, focusing on defining the product, sequencing, and go-to-market strategy for AI agents that automate web and mobile personalization workflows for enterprise marketing and growth teams. This role involves customer discovery, defining the agent experience, and scaling go-to-market efforts, working closely with founders and the executive team.

This role focuses on leveraging AI agents and generative models to create on-brand ad creatives for enterprise marketing teams. The AI Creative Designer will translate brand guidelines into agentic workflows, consult with clients, optimize creative performance, and provide feedback to product and engineering teams. The core of the role is to define and execute AI-driven creative campaigns for major brands.

This role is for an AI Operations lead to embed within a RevOps team to automate GTM workflows using AI agents. The individual will identify opportunities for automation, build agentic workflows, own the AI context layer, and lead enablement for sales, marketing, and CS teams. The role requires staying current with AI advancements and prototyping new solutions.

Product-minded AI engineer to build production LLM pipelines and AI agents that use company data to answer analytics and data science questions for marketing and growth teams.

Role focuses on partnering with customers and internal engineering teams to ensure AI-driven marketing campaigns deliver measurable impact. This involves diagnosing model behavior, tuning ML levers, analyzing incrementality, exploring customer data, and explaining insights to marketers and executives. The core task is to ensure AI agents perform optimally and to help customers understand their performance.