Engineering Manager, Head of Machine Learning

Hightouch

San Francisco (CA)

On-site

USD 230,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Equity compensation in ISO options
Remote-first work policy
Flexible working hours

Job summary

A leading AI platform company introduces a senior engineering leader role focusing on machine learning initiatives. This position requires expertise in product development and team management, aiming to enhance marketing strategies through data-driven solutions. The ideal candidate will manage growing engineering teams and drive impactful product features. With an attractive salary range of $230,000 – $350,000 and a remote-first policy, the company offers significant equity compensation and growth potential.

Qualifications

  • Experience leading machine learning efforts in a technology environment.
  • Strong track record in product development and execution.
  • Ability to improve team performance and reliability in high-growth environments.

Responsibilities

  • Lead product development efforts in machine learning.
  • Recruit and grow the engineering team.
  • Enhance the pace and reliability of product delivery.

Skills

Leadership
Machine Learning
Product Development
Technical Expertise
Team Management

Job description

Overview

About Hightouch: Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, enabling marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. We are built at the intersection of advances in LLMs and agentic AI, and the adoption of cloud data warehouses. We partner with industry leaders and focus on making a meaningful impact for our customers.

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 is significant surface area to impact how we help customers choose which customers to message, what content to include in messages, and when to send messages. With access to customer data in data warehouses and databases, Hightouch is well-positioned to build a powerful intelligence layer.

Responsibilities
  • Product Development: Lead the team in roadmapping and executing the development of significant features and products to drive the business forward. Uphold a high technical bar while making pragmatic tradeoffs.
  • Pace: Improve the pace of execution through a combination of leadership and technical expertise.
  • Recruiting: Grow the team by identifying needs, defining evaluation criteria, and hiring high-impact team members.
  • Reliability: Improve reliability in a high-growth environment, reduce incidents, catch issues early, and maintain strong incident management hygiene.
  • People: Foster growth, engagement, and motivation among team members.
Problems We’ll Be Working On
  • Personalization and Product Recommendation: Determine which content to message a user with and how to present the most relevant options given a large state space.
  • Probabilistic Identity Resolution: Stitch together multiple datasets to determine whether profiles refer to the same user or household.
  • Content Generation: Leverage advances in LLMs to help marketers generate text, images, and creatives that resonate with customers.
  • ML Infrastructure: Build the infrastructure to support model training and inference at scale for large enterprise customers.
What We Offer

We are looking for talented, intellectually curious, and motivated individuals who are excited to tackle the problems above. This is a senior role, with emphasis on impact and potential for growth rather than years of experience. Salary range: $230,000 – $350,000 USD per year, location-independent under our remote-first policy. We offer meaningful equity compensation in ISO options, with early exercise and a 10-year post-termination exercise window.

Please note: We request applicants apply only to the position they are most qualified for. We do not accept multiple role applications from a single candidate.

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