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Head of Machine Learning Remote; North America)

Remote / Online - Candidates ideally in
Chula Vista, San Diego County, California, 91909, USA
Listing for: Hightouch
Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 230000 - 400000 USD Yearly USD 230000.00 400000.00 YEAR
Job Description & How to Apply Below

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.

Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.

Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, , Ramp, and Pet Smart.

At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you.

About

the Role

We are looking for an engineering leader to lead machine learning efforts across Hightouch. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figure out which customers to message, what content to put in messages, and when to send messages.

A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

At Hightouch, our engineering leaders serve as both active technical voices and strong people managers. The key outcomes we are looking for from this role include:

  • Product Development:
    Lead the team in road mapping and executing successful development of significant features and products as required to drive the business forward. Uphold a high technical bar, while making pragmatic tradeoffs
  • Pace:
    Through a combination of leadership and technical expertise, improve the pace of execution of the team
  • Recruiting:
    Be responsible for growing the team, including identifying needs, deciding how to evaluate candidates, and ensuring we hire high impact team members
  • Reliability:
    Against the uphill battle of high growth/scale, up-level the team on reliability, resulting in fewer incidents, catching our own issues before our customers do, and a strong incident management hygiene
  • People:
    Foster growth of team members and ensure strong engagement and motivation

Some of the problems we’ll be working on include:

  • Personalization and Product Recommendation:
    There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
  • Probabilistic Identity Resolution:
    Many of our customers have multiple datasets and sources of information on their users. How do we stitch these datasets together and decide which profiles are from the same user or household?
  • Content Generation:
    Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
  • ML Infrastructure:
    Building the infrastructure to support model training and inference at scale for some of the largest companies in the world.
What We Offer

We are looking for talented, intellectually…

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