Marketing Operations Engineer (AI)

Location: Mountain View, California, United States. On-site five days a week.

Company

hirify.global builds AI education and technology initiatives led by Andrew Ng, serving more than ten million learners.

What you will do

• Design and build agentic workflows for campaign QA, data validation, reconciliation, segmentation, reporting, and recurring marketing operations.
• Own HubSpot and the integration layer connecting Customer.io, the warehouse, PostHog, Stripe, the mobile app, and the marketing site.
• Govern contact data, schemas, lifecycle stages, deduplication, segmentation, deliverability, authentication, and domain reputation.
• Define tracking and attribution standards, including UTM conventions, tag deployment, server-side conversion tracking, and performance metrics.
• Build experimentation infrastructure for assignment, holdouts, sample sizing, lifecycle, acquisition, and paid marketing tests.
• Scope and review contractor work, document standards, and create self-service tooling that reduces manual requests.

Requirements

• On-site availability in Mountain View, California, five days per week.
• Five or more years building or owning marketing systems, marketing operations, growth engineering, or software embedded with a marketing team.
• Production JavaScript or Python experience, with REST APIs, webhooks, Git, and end-to-end production delivery.
• Deep experience administering HubSpot, Customer.io, Marketo, SFMC, Braze, or a comparable marketing automation or CRM platform.
• SQL, warehouse data, BI tools such as Metabase, GA4, tracking, attribution, UTM conventions, tag management, and server-side conversion tracking.
• Strong documentation, verification, data reconciliation, migration, platform-building, and stakeholder collaboration skills.

Nice to have

• Experience with LLM APIs, agentic patterns, or evaluation frameworks.
• Contractor or vendor technical-work management and product analytics or event schema design.
• Mobile attribution, Stripe, Jira, Semrush, tag management, CMS, Vercel, or deployment tooling experience.
• Technical content or developer documentation experience and familiarity with AI/ML or technical education.

Culture & Benefits

• AI-native approach with daily use of AI-assisted coding and automation.
• Close collaboration with marketing, engineering, data engineering, lifecycle marketing, and developer relations.
• Opportunity to document automation work for newsletters, videos, events, technical blogs, case studies, and tutorials.