AI Decisioning Engineer

Pioneering Composable Customer Data Platform helping companies use data warehouses to collect, prepare, and activate customer data for marketing personalization.
$180,000 - $260,000
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS

Description For AI Decisioning Engineer

Hightouch is revolutionizing how companies handle customer data through their Composable Customer Data Platform (CDP). We're seeking an AI Decisioning Engineer to join our innovative team and help shape our machine learning platform.

As an early member of our AI Decisioning team, you'll work directly with the CTO and product teams to architect robust systems that empower growth teams to automate decision-making. The role focuses on building scalable backend systems and ML infrastructure for real-time data processing and analysis.

Our mission is to empower everyone to take action on their data, particularly in the emerging field of AI and machine learning. We're building systems that enable growth teams to experiment with various creative approaches, personalize content, and optimize outcomes at scale.

We're backed by leading investors including Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital. Our platform is trusted by major companies like PetSmart, Warner Music Group, Spotify, Ramp, Retool, NBA, Plaid, and L'Oreal.

Our team values first-principles thinking, efficient execution, and compassionate collaboration. We offer a competitive salary range of $180,000 - $260,000 USD per year, meaningful equity compensation with ISO options, early exercise opportunities, and a 10-year post-termination exercise window.

The interview process is streamlined and practical, focusing on system design rather than theoretical brainteasers. We believe in mutual assessment and encourage candidates to ask questions throughout the process.

Join us in building the future of data-driven marketing and customer engagement, where AI and machine learning are becoming the foundation of a new operational paradigm in marketing.

Last updated 8 minutes ago

Responsibilities For AI Decisioning Engineer

  • Design and build scalable backend systems and ML infrastructure for real-time data processing
  • Develop AI-driven features for hyper-personalization and decision automation
  • Work with machine learning engineers on cutting-edge techniques integration
  • Architect robust, highly performant systems for growth teams

Requirements For AI Decisioning Engineer

  • Expertise in backend systems
  • Experience with distributed computing
  • Strong system design skills
  • Passion for building products from zero to one

Benefits For AI Decisioning Engineer

Equity
  • Equity
  • Remote Work

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