Marketing Engineer

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