Posted at: 8 November
Backend Engineer, AI Content Agents
Company
Hightouch
Hightouch is a San Francisco-based B2B Composable Customer Data Platform (CDP) that enables businesses to activate their customer data for marketing personalization and operational efficiency.
Remote Hiring Policy:
Hightouch operates with a remote-first approach, hiring primarily from North America, including locations such as San Francisco, CA, and New York, NY. Team members collaborate across time zones, primarily within UTC-8 to UTC-5.
Job Type
Full-time
Allowed Applicant Locations
North America
Salary
$180,000 to $320,000 per year
Job Description
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
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 include:
- 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.
Interview Process
Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.
- 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.