AI-Driven Marketing Engineer

AI Fund; Mountain View (CA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

DeepLearning.AI in Mountain View, CA is hiring a Marketing Engineer to architect automation and AI-driven tooling inside marketing. You will code, build agentic workflows, and integrate martech stack (Customer.io, Stripe, PostHog) to automate lifecycle, content, and reporting.

Reporting to Head of Marketing, you'll partner with AI engineers and marketers to ship production automations, design data pipelines for Metabase, and set up reliable tracking and attribution.

Qualifikationen

• AI-native, default to using AI-assisted coding and building automations in everything you do.
• A minimum of 3 years experience as a software engineer, with 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

Aufgaben

• 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 (Claude, other LLM APIs, automation platforms) and prototype how it applies to our specific funnel problems
• Own the technical integration layer between Customer.io, Stripe, PostHog, our platform's event data and any other tools we might use, so lifecycle triggers fire on accurate, real-time data
• Support various platform and data migrations with scripting, platform expansions, and workflow recreation as needed
• Build and maintain the data pipelines that feed our Metabase dashboard, partnering with Data Engineering to close our current LTV and cohort data gaps
• Set up and maintain UTM, tracking, and attribution infrastructure so channel performance data is trustworthy
• Build the technical infrastructure for A/B testing across lifecycle, email, and on-platform messaging, so the Lifecycle Marketing Manager and PMM team can test rigorously without engineering as a bottleneck
• Build self-serve reporting tools that let marketing stakeholders answer their own data questions without filing a ticket
• Where it's a natural byproduct of the automation work, document exciting or interesting builds for use in our content across newsletters, YouTube, events, or technical blogs
• Partner with Developer Relations when a build becomes a public case study or tutorial

Kenntnisse

AI-native coding

Marketing automation

LLM APIs

Python

JavaScript/Node

REST APIs

SQL

Event tracking

Tools

Customer.io

HubSpot

Braze

PostHog

Stripe

Metabase

Jobbeschreibung

DeepLearning.AI in Mountain View, CA is hiring a Marketing Engineer to architect automation and AI-driven tooling inside marketing. You will code, build agentic workflows, and integrate martech stack (Customer.io, Stripe, PostHog) to automate lifecycle, content, and reporting.

Reporting to Head of Marketing, you'll partner with AI engineers and marketers to ship production automations, design data pipelines for Metabase, and set up reliable tracking and attribution.