Marketing Engineer

About the role

DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences. We are looking for a Marketing Engineer to build the automation and AI-driven tooling that lets a small marketing team operate at the scale our growth goals require.

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 (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
• Set up and maintain UTM, tracking, and attribution infrastructure so channel performance data is trustworthy
• Build and maintain the data pipelines that feed our Metabase dashboard, partnering with Data Engineering to close our current LTV and cohort data gaps
• Experimentation Infrastructure
• 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
• Dogfood & Content (Secondary)

Requirements

• Ai-native, default to using AI-assisted coding and building automations in everything you do.
• Appetite, passion for and proven record of learning and experimenting with the newest AI engineering best practices.
• A minimum of 3 years experience as a software engineer, with at least 1–2 years applying that experience to marketing, growth, or RevOps problems.
• Strong scripting and integration skills (Python or JavaScript/Node) and comfort working 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.

Qualifications

• Nice to Have
• Experience with Stripe or other subscription billing APIs.
• Familiarity with Customer.io, Hootsuite, or Metabase specifically.
• Experience writing technical content or documentation aimed at a developer audience.
• Background in growth engineering, marketing ops engineering, or a similar hybrid role.
• Familiarity with the AI/ML or technical education landscape.

Skills

• AI-native, default to using AI-assisted coding and building automations in everything you do.
• Strong scripting and integration skills (Python or JavaScript/Node) and comfort working 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.

Benefits

Note this supports the content engine but is not a primary deliverable or goal. Partner with Developer Relations when a build is interesting enough to become a public case study or tutorial.

Pay

$150,000 - $210,000 a year

Schedule

We are looking for a full-time position that requires on-site work in Mountain View, CA.