Hightouch Logo

Hightouch

AI Customer Product Manager

Sorry, this job was removed at 12:20 a.m. (PST) on Thursday, Dec 11, 2025
In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

Similar Jobs

29 Minutes Ago
Easy Apply
Hybrid
Easy Apply
105K-131K Annually
Senior level
105K-131K Annually
Senior level
Cloud • Mobile • Software
Own accounting integration discovery, design, configuration, testing, and validation between BuildOps and customer ERPs. Lead finance discovery, define mappings and integration logic, execute test plans, reconcile data, troubleshoot discrepancies, and produce reusable documentation and playbooks to ensure accurate end-to-end financial synces and minimal post‑go‑live issues.
Top Skills: APIsBoomiCeligoCsvExcelGoogle SheetsIpaasMulesoftNetSuiteQuickbooks OnlineSage IntacctSpectrumViewpoint VistaWorkato
29 Minutes Ago
Hybrid
San Jose, CA, USA
144K-216K Annually
Senior level
144K-216K Annually
Senior level
Artificial Intelligence • Fintech • Software
Lead architecture and development of production AI products (chatbots, document processing, agentic workflows) and centralized AI platform components (model routing, provider management, vector search, MCP). Build scalable, cloud-native integrations with accounting systems and external APIs, drive AI system design and context engineering, ensure observability and compliance, and mentor engineers while shaping company-wide AI standards and governance.
Top Skills: Ai ObservabilityAWSConversational AiDocument ProcessingEmbeddingsLlm ApisModel Context Protocol (Mcp)PythonRest ApisRetrieval-Augmented Generation (Rag)RlhfSemantic SearchVector Search
29 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-125K Annually
Senior level
100K-125K Annually
Senior level
Cloud • Mobile • Software
Lead discovery, design, configuration, testing, and validation of accounting integrations between BuildOps and customers' ERPs. Map GL/accounts/entities, build and execute test plans for AP/AR/POs/payments, reconcile data, troubleshoot discrepancies, document solutions, and advise customers on best practices to ensure scalable, accurate end-to-end syncs.
Top Skills: APIsBoomiBuildopsCeligoCsvErpExcelGoogle SheetsIpaasMulesoftNetSuiteQuickbooks OnlineSage IntacctSpectrumViewpoint VistaWorkato
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 ResponsibilitiesCustomer 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.

HQ

Hightouch San Francisco, California, USA Office

Our San Francisco office is located in downtown San Francisco, just a few blocks from nearby bus and train stations, the San Francisco Bay & dozens of restaurants, bars and historic sites.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account