Full Stack Engineer, AI Decisioning : Hightouch

Job Description

About Hightouch

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

Our AI Mission

Hightouch’s mission has always been to empower customers to harness their data to drive business impact. With the rise of AI and machine learning, we are focused on helping growth teams use the wealth of customer data in their warehouse to make personalized and optimized decisions at a scale far beyond human capabilities.

AI Decisioning enables growth teams to continuously experiment with various creative approaches and strategies, personalize content based on a deep understanding of each customer, and optimize outcomes to drive customers towards the best possible results.

About the Role

We’re seeking a full-stack engineer to join our fast-growing AI Decisioning team, where you’ll help develop an intuitive interface that enables non-technical users to easily engage with advanced ML and AI.

On a typical day, you will be:

• Architecting and building features end-to-end for a new generation of marketing and growth products
• Collaborating closely with customers and cross-functional partners—designers, product managers—to understand real-world behavior
• Working alongside ML engineers to surface insights that empower marketers to make confident decisions.

Looking ahead, AI and machine learning will be the foundation of a new operational paradigm in marketing. Some of the most interesting upcoming challenges for this team include:

• Building a deep analytics and observability platform to surface key marketing insights
• Integrating complex ML models into a highly interactive user interface
• Crafting intuitive interfaces for marketing and growth team to set up complex experiments

Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, but also deeply understand good backend API design and data models.

The salary range for this role is $180,000 – $240,000 USD per year, fully remote and location-independent. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.