AI Implementation Manager New at Hightouch
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

200000.0

Posted On

16 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Modeling, Data Science, Data Infrastructure, Business Systems, E Commerce, Etl, Natural Language Processing, Business Intelligence, Analytics, Equity Compensation, Machine Learning, Communication Skills

Industry

Information Technology/IT

Description

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.

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
Responsibilities

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.

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