AI Implementation Manager

Summary

Join Hightouch as an AI Implementation Manager and serve as the technical bridge between our AI insights product and customers. You will work directly with clients to design, optimize, and implement AI prompts maximizing the value of our LLM agents. This role blends deep prompt engineering expertise with customer-facing skills to ensure successful implementations and drive product adoption. You'll translate customer business needs into effective AI solutions, providing hands-on technical guidance and training. The position requires strong communication skills to explain complex technical concepts to non-technical stakeholders. Hightouch offers a competitive salary, equity compensation, and a remote-first policy.

Requirements

• 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

Responsibilities

• 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
• 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
• 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
• 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

Preferred Qualifications

• Experience with customer data platforms, reverse ETL, or data activation tools
• Background in business intelligence, analytics, or data science consulting
• Familiarity with enterprise software implementation methodologies
• Experience in SaaS customer success or solutions engineering roles
• Industry knowledge in marketing technology, e-commerce, or data-driven decision making
• Certifications in relevant AI/ML technologies or cloud platforms

Benefits

• The salary range for this position is $140,000-$200,000 OTE USD per year, which is location independent in accordance with our remote-first policy
• We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window