# Marketing Engineer

**Company:** [AI Fund](https://hotfix.jobs/companies/ai-fund)
**Location:** Mountain View, CA
**Role:** GTM Engineering
**Salary:** $150k – $210k/yr
**Experience:** 3+ years
**Skills:** LLM APIs, Agentic Workflows, Python, JavaScript, Node.js, REST APIs, Webhooks, SQL, customer.io, Stripe, posthog, Metabase, hootsuite
**Posted:** 2026-07-14

> Build agentic AI workflows, automations, and martech integrations (Customer.io, Stripe, PostHog) to scale marketing operations. Requires 3+ years software engineering experience with LLM APIs, scripting, and marketing/growth tech.

## Job Description

## What You Will Do

### Automation & Agentic Tooling
- 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

### MarTech Integration
- 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

### 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)
- 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
- Partner with Developer Relations when a build is interesting enough to become a public case study or tutorial

## What You Bring

### Required
- 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

### 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

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**Apply:** https://hotfix.jobs/jobs/86afa136-020b-48c5-8d6e-6e664647912d
**Canonical:** https://hotfix.jobs/jobs/86afa136-020b-48c5-8d6e-6e664647912d