AI-Driven Marketing Automation Engineer

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

Job summary

DeepLearning.AI is seeking an engineer to own automation and agentic tooling across lifecycle marketing. You will architect AI-native workflows, integrate CRM and analytics tools, and build internal capabilities that let marketers deploy automations with minimal engineering support.

The role emphasizes hands-on work with LLM APIs, data pipelines, and event tracking, with a focus on delivering measurable reductions in manual work and reliable data for reporting.

Qualifications

• 3+ years as a software engineer, with 1–2 years applying that experience to marketing, growth, or RevOps
• Hands-on experience building with LLM APIs and agentic workflows
• Experience integrating or building on top of a CRM or marketing automation platform
• Working knowledge of SQL and comfort building or maintaining data pipelines
• Experience with event tracking and analytics tools
• Ability to translate a marketer's manual 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
• Identify high-leverage marketing workflows to automate first
• Build internal tools to let non-technical marketers configure automations
• Evaluate new AI tooling and prototype applications for funnel problems
• Own the integration layer between Customer.io, Stripe, PostHog, and event data
• Support platform/data migrations with scripting and workflow recreation
• Build data pipelines for Metabase dashboards with Data Engineering
• Set up and maintain UTM, tracking, and attribution infrastructure
• Build infrastructure for A/B testing across lifecycle, email, and on-platform messaging
• Build self-serve reporting tools for marketing stakeholders

Skills

AI-native

Marketing engineering

LLM APIs

SQL

Event tracking

Technical spec to code

Tools

Customer.io

HubSpot

Braze

PostHog

Amplitude

Segment

Metabase

Stripe

Job description

DeepLearning.AI is seeking an engineer to own automation and agentic tooling across lifecycle marketing. You will architect AI-native workflows, integrate CRM and analytics tools, and build internal capabilities that let marketers deploy automations with minimal engineering support.

The role emphasizes hands-on work with LLM APIs, data pipelines, and event tracking, with a focus on delivering measurable reductions in manual work and reliable data for reporting.