Marketing Engineer (AI)

TL;DR

Marketing Engineer (AI): Building automation and AI-driven tooling to scale marketing operations with an accent on agentic workflows and MarTech integration. Focus on automating lifecycle triggers, campaign QA, and building self-serve reporting tools to eliminate manual bottlenecks.

Location: On-site in Mountain View, CA

Company

DeepLearning.AI (part of hirify.global) is on a mission to empower everyone to build with AI through world-class education and hands-on training.

What you will do

• Design and build agentic workflows to automate lifecycle triggers, campaign QA, and segmentation logic.
• Own the technical integration layer between Customer.io, Stripe, PostHog, and internal platform event data.
• Develop internal tools that enable non-technical marketers to configure and launch automations independently.
• Build and maintain data pipelines feeding Metabase dashboards to resolve LTV and cohort data gaps.
• Implement technical infrastructure for A/B testing across lifecycle, email, and on-platform messaging.
• Document technical builds for use in newsletters, technical blogs, and YouTube content.

Requirements

• Must be based in Mountain View, CA (On-site)
• Minimum 3 years of software engineering experience, with 1–2 years applied to marketing, growth, or RevOps.
• Hands-on experience building with LLM APIs (Claude, OpenAI) and agentic workflows or tool-use patterns.
• Proficiency in Python or JavaScript/Node and comfort working with REST APIs and webhooks.
• Experience integrating with CRM or marketing automation platforms (Customer.io, HubSpot, Braze).
• Working knowledge of SQL and experience with event tracking tools (PostHog, Amplitude, Segment).

Nice to have

• Experience with Stripe or other subscription billing APIs.
• Familiarity with Customer.io, Hootsuite, or Metabase.
• Experience writing technical content or documentation for a developer audience.
• Background in growth engineering or marketing ops engineering.
• Familiarity with the AI/ML or technical education landscape.