AI is the new electricity, transforming every aspect of our lives. 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. This is a hands-on technical role embedded inside marketing. You will write code, build agentic workflows, and integrate our martech stack (Customer.io, Hootsuite, Stripe, PostHog) so that lifecycle, content, and reporting work that is manual today becomes automated and self-improving.
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. As a natural extension of the work, you'll often be the most credible source on our team for what AI tooling can actually do today, which gives us a built-in story for our own content.
You will report to the Head of Marketing and work in an office collaborating with some of the most forward-thinking AI engineers building the next generation of technology.
What You Will Do
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 our newsletters, YouTube accounts, events, or technical blogs. 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
Automation & Agentic Tooling
MarTech Integration
Experimentation Infrastructure
Dogfood & Content (Secondary)
What You Bring
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
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 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
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
Required
Nice to Have
What Success Looks Like
Skills Required
- AI-native, uses AI-assisted coding and experiments with latest AI engineering practices
- Minimum 3 years experience as a software engineer with 1-2 years applied to marketing, growth, or RevOps
- 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 marketer workflows into technical specifications and ship independently
- Experience with Stripe or other subscription billing APIs
- Familiarity with Customer.io, Hootsuite, or Metabase specifically
- Experience writing technical content or documentation for developer audiences
- Background in growth engineering, marketing ops engineering, or a similar hybrid role
- Familiarity with the AI/ML or technical education landscape
AI Fund Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.
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Healthcare Strength — Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
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Retirement Support — Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
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Parental & Family Support — Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.
AI Fund Insights
What We Do
Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
