AI Implementation Manager

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further,  allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals. 

What else? We’re based in San Francisco but have team members all over the world. Our Series C put us at a $1.2B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About the Role

We're seeking an AI Implementation Manager to serve as the technical bridge between Hightouch's AI insights product and our customers during critical onboarding phases. This role combines deep prompt engineering expertise with customer-facing skills to ensure successful implementations and drive product adoption.

As an AI Implementation Manager, you'll work directly with customers at their locations or remotely to design, optimize, and implement AI prompts that maximize the value of our LLM agents. You'll be instrumental in translating customer business requirements into effective AI implementations while providing hands-on technical guidance.

Key Responsibilities

Customer Onboarding & Implementation

• Partner with customers during onboarding to understand their specific use cases, data landscape, and business objectives
• Design and implement custom prompt strategies tailored to customer agents workflows and insight generation needs
• Conduct on-site or remote workshops to train customer teams on prompt engineering best practices
• Ensure proper schema setup to enable optimal AI agent deployment

Prompt Engineering Excellence

• Develop and refine prompts for AI insights that drive accurate, reliable business processes and insights
• Create prompt templates and frameworks for AI insights generation across various industries and use cases
• Continuously test and iterate on prompt performance, measuring impact on customer KPIs
• Maintain a library of proven prompt patterns and techniques for different business scenarios

Technical Consulting & Support

• Serve as the primary technical resource for customers during the critical first 90 days post-implementation
• Collaborate with customers' data science and engineering teams to integrate AI agents into existing workflows
• Provide technical documentation, best practices guides, and training materials
• Identify opportunities for prompt optimization

Cross-functional Collaboration

• Work closely with Technical Success, Sales, and Product teams to ensure seamless customer experiences
• Provide feedback to Product and Engineering teams based on customer implementations and requirements
• Contribute to the development of new product features and capabilities based on field insights
• Support pre-sales technical discussions and proof-of-concept implementations

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• 3+ years of experience in prompt engineering, natural language processing, or machine learning
• Proven experience working with LLMs in business systems
• Experience with data modeling, schema design, and working with structured/unstructured data sources
• Experience with data platforms, APIs, and customer data infrastructure
• Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Willingness to travel up to 25% for customer engagements
• Track record of successful customer-facing technical implementations

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