Aifund
Marketing Engineer
Mountain View, CA
Sponsorship not specified$150k-$210kDetected 8 days ago
JavaScriptPythonNode.jsSQLRESTMachine LearningData EngineeringLLMsA/B TestingHubSpotCRMMetabase
About the role
- AI is the new electricity, transforming every aspect of our lives.
- This is a hands-on technical role embedded inside marketing.
- This role exists because we believe the next unlock for our team isn't more headcount doing manual work - it's state-of-the-art agentic techniques doing the work with just a bit of human involvement.
Responsibilities
- Design and build agentic workflows that automate lifecycle triggers, campaign QA, segmentation logic, and reporting that the team currently does by hand
- Build internal tools that let non-technical marketers configure and launch automations without engineering support
- 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 our newsletters, YouTube accounts, events, or technical blogs.
- Note this supports the content engine but is not a primary deliverable or goal.
Requirements
- 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
- 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
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
- What Success Looks Like
- We hire based on qualifications, merit, and business needs, without discrimination on any characteristic - whether protected by applicable laws or not.
Compensation
- $150k-$210k
Benefits
- We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences.
- Appetite, passion for and proven record of learning and experimenting with the newest AI engineering best practices.
Company info
- DeepLearning.AI is on a mission to empower everyone to build with AI.
- 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.
This listing is sourced directly from Aifund's careers page and normalized into a canonical job model.