AI Customer Product Manager
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, 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.
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
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
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.
