Hightouch
Data AI · Reverse ETL
Currently tracking 7 active AI roles, down 47% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$350k (avg $227k).
Hightouch has 9 active AI-related job listings. The hiring is dominated by roles in the agents stage, representing 78% of the active listings. Engineering is the top function with 6 roles, and the United States is the primary hiring country with 7 positions. Frequent tech tags include agent orchestration, model serving, and agent research, suggesting a focus on building and deploying AI agents.
Hightouch currently has 10 active AI-related roles in our index. The most common open titles are: AI Creative Designer, Email, AI Operations, GTM, Engineering Manager, Agents, Engineering Manager, Customer Studios, Engineering Manager, Head of Machine Learning . Most positions are in Engineering and Product.
Hightouch's active AI hiring is concentrated in: agents (90%), application (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Hightouch is hiring AI talent in: United States (8 roles).
Job postings at Hightouch most frequently reference: agent orchestration, llm observability, rag, model serving, tool use.
In the past 30 days, Hightouch has posted 4 new AI-related roles.
Data AI · Reverse ETL
| Title | Stage | AI score |
|---|---|---|
| Lead Product Manager, Agentic Personalization 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. | Agent | 9 |
| AI Operations, GTM 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. | Agent | 8 |
| Software Engineer, AI Agents 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. | Agent | 8 |
| AI Creative Designer, Email The AI Creative Designer will be responsible for translating brand guidelines into agentic workflows that produce on-brand email and lifecycle creative for enterprise customers. This role involves collaborating with customers, driving performance through A/B testing, and shaping the product based on creative insights. | Agent | 7 |
| Staff Engineer, AI Productivity Staff Engineer focused on building infrastructure, tooling, and documentation to make AI coding agents more effective for the engineering organization. This role owns the AI-assisted development experience, including setting up cloud environments for agents, building integrations with internal systems, and creating documentation to guide agents. | Agent | 7 |
| Engineering Manager, Agents Engineering Manager for an Agentic Marketing Platform that uses foundation models, customer context, and brand guidelines to help marketers generate content, manage context, gain insights, and orchestrate campaigns. The role involves leading product development, improving execution pace, recruiting, ensuring reliability, and fostering team growth. | Agent | 7 |
| Engineering Manager, Head of Machine Learning Engineering Manager, Head of Machine Learning at Hightouch, a modern AI platform for marketing and growth teams. The role involves leading ML efforts to build AI agents for marketing workflows, personalization, content generation, and identity resolution, as well as ML infrastructure. This is a leadership role with responsibilities in product development, pace, recruiting, reliability, and people management. | ShipAgent | 7 |
| Forward Deployed Marketing Data Scientist 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. | Agent | 7 |