Backend Engineer, AI Content Agents

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, 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.

About The Role: Backend Engineer, AI Content Agents

We’re building the future of AI driven marketing, one content agent at a time. As a senior engineer on the Content Agents team, you’ll help redefine how marketers create, personalize, and launch campaigns. You’ll design and ship intelligent systems that understand a company’s data, generate on-brand content, and collaborate with humans in real time to deliver creative work at unprecedented speed and scale.

We’re looking for an engineer who’s as comfortable shipping a full stack feature as experimenting with an LLM workflow. You’ll build APIs, data models, and orchestration layers that make our agents reliable, debuggable, and fast. You’ll also partner closely with product and design to deliver experiences that make AI feel natural, useful, and trustworthy.

Example Workstreams

• Building and maintaining backend services, APIs, and data models that power AI-generated marketing content.
• Developing new agent behaviors, taking them from quick prototypes to scalable production systems.
• Extending our existing web layer with new features that connect directly to AI workflows.
• Improving reliability, observability, and performance across our stack.
• Collaborating cross functionally to ship user facing features end-to-end, from design to deployment.

If you’re motivated by frontier work where there’s no playbook yet, you’ll fit right in. No prior AI or LLM experience is required, but strong backend architecture skills, curiosity, and product intuition are essential to bring ideas from napkin sketch to production reality.

This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 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.

Interview Process

• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [60m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

Key skills/competency

• Backend Engineering
• AI Agents
• LLM Workflow Design
• API Development
• Data Modeling
• System Architecture
• Orchestration Layers
• Product Intuition
• Scalable Systems
• Cross-functional Collaboration