AI-Driven Marketing Automation Engineer

career; Mountain View (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

DeepLearning.AI is looking for a Marketing Engineer in Mountain View to design and build agentic workflows that automate lifecycle triggers, QA, segmentation, and reporting. You will own the integration layer between martech tools and real‑time data, building internal tools for non‑technical marketers and enabling self‑serve analytics.

You’ll work closely with marketing and AI engineers to ship automated, AI‑driven tooling that scales our growth with minimal manual work, while documenting builds

Qualifications

• AI-native, default to using AI-assisted coding and building automations in everything you do.
• 3+ years experience as a software engineer, with at least 1–2 years applying that experience to marketing, growth, or RevOps problems.
• Hands‑on experience building with LLM APIs (Claude, OpenAI, or similar) and agentic workflows or tool‑use patterns.
• Strong scripting and integration skills (Python or JavaScript/Node) and comfort with REST APIs and webhooks.
• Experience integrating or building on top of a CRM or marketing automation platform (Customer.io, HubSpot, Braze, or similar).
• Working knowledge of SQL and comfort building or maintaining data pipelines.
• Experience with event tracking and analytics tools (PostHog, Amplitude, Segment, or similar).
• Ability to translate a marketer's manual, repetitive workflow into a clear technical specification, and ship it without heavy oversight.

Responsibilities

• Design and build agentic workflows that automate lifecycle triggers, campaign QA, segmentation logic, and reporting that the team currently does by hand.
• Identify which marketing workflows are highest‑leverage to automate first, in partnership with the Lifecycle Marketing Manager and Marketing Operations Coordinator.
• Build internal tools that let non‑technical marketers configure and launch automations without engineering support.
• Continuously evaluate new agentic and AI tooling and prototype how it applies to our funnel problems.
• Own the technical integration layer between martech tools and real‑time data so lifecycle triggers fire accurately.
• Support data migrations with scripting and workflow recreation, as needed.
• Build and maintain data pipelines for Metabase dashboards with Data Engineering to close data gaps.
• Set up and maintain UTM, tracking, and attribution infrastructure so channel performance data is trustworthy.
• Build the infrastructure for A/B testing and self‑serve reporting for marketing stakeholders.

Skills

AI coding

LLM APIs

Python

JavaScript/Node

REST APIs

SQL

Data pipelines

Event tracking

Tools

Customer.io

HubSpot

Braze

Metabase

PostHog

Stripe

Job description

DeepLearning.AI is looking for a Marketing Engineer in Mountain View to design and build agentic workflows that automate lifecycle triggers, QA, segmentation, and reporting. You will own the integration layer between martech tools and real‑time data, building internal tools for non‑technical marketers and enabling self‑serve analytics.

You’ll work closely with marketing and AI engineers to ship automated, AI‑driven tooling that scales our growth with minimal manual work, while documenting builds