Marketing Technology Engineer (AI)

Location: Remote from the United States, Canada, South America, or the United Kingdom

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime.

What you will do

• Own the marketing agent fleet end to end, including provisioning, output verification, monitoring, alerting, and incident response.
• Design and build agentic processes, skills, and automations that remove manual work from marketing operations.
• Instrument agents and automations so usage, output quality, and business value are visible and improve through feedback.
• Standardize marketing concepts such as territory, lead scoring, MQL, MQA, pipeline stages, and targets across tools, agents, and two product lines.
• Configure, administer, and integrate the MarTech stack so campaign teams can handle routine extensions independently.

Requirements

• Prior marketing or marketing operations experience, including funnel and attribution logic, lead scoring, deliverability, list hygiene, and consent rules.
• Experience operating unattended pipelines, integrations, or agents and verifying their outputs.
• Production automation experience in a go-to-market function using Clay, Zapier, Workato, n8n, or similar tools.
• Experience moving from no-code automation to repository-based development with version control, code review, CI, testing, and shared deployments.
• Working proficiency in SQL and Python, solid REST API fundamentals, and familiarity with secrets management.
• Data warehouse fluency and hands-on administration of HubSpot and Salesforce.

Nice to have

• Experience with Claude or n8n.
• Experience building multi-step enrichment waterfalls in Clay or similar tools.
• Exposure to observability and data-quality practices such as monitoring, alerting, freshness, and anomaly checks.
• Experience supporting multiple product lines with shared metrics.

Culture & Benefits

• Distributed-first marketing operations team with close cross-functional collaboration.
• High ownership, frequent communication, and responsibility for consequential marketing decisions.
• Fast-paced environment focused on experimentation, feedback, urgency, and measurable outcomes.
• AI fluency is expected and applied AI usage is evaluated during the interview process.
• Work involves complex problems at the intersection of AI, national security, and fighting crime.

Hiring process

• Applied AI fluency is evaluated during the interview process.
• AI tools such as interview assistants and real-time coaching tools may not be used during interviews without prior approval.