Experience with data warehouses/BI tools
Strong programming skills
Experience building on a marketing site or product surface (landing pages, onboarding, referral or lifecycle systems)
Background at a high-growth B2B SaaS or AI-native company
4+ years of experience in growth engineering, marketing engineering, GTM engineering, or a technical role within a marketing/growth function at a B2B SaaS company
Hands-on experience building with AI — you use tools like Claude Code, Cursor, or equivalent as part of your daily workflow, not just as something you build on top of
Experience working with LLM APIs or AI-powered tools to generate content, automate workflows, or optimize marketing performance
Familiarity with marketing automation platforms (e.g., Marketo, HubSpot), CRMs (e.g., Salesforce), workflow/automation tools (e.g., Clay, n8n, Zapier, Make), and analytics/experimentation tooling (e.g., Amplitude, Mixpanel, Segment, PostHog, GA4)
A builder mentality, comfortable operating in ambiguity, shipping iteratively, and taking ownership of 0→1 projects
Strong analytical skills with the ability to design experiments, own attribution, and translate data into decisions
Cross-functional collaboration: work closely with internal teams across data science, marketing operations, performance marketing, product marketing, and sales to ensure campaign success. Drive alignment on priorities and share insights to refine strategies