Marketing Analytics Manager (AI)

Location: Boston, MA; hybrid work required from the hirify.global office at least 3 days per week.

Base salary: $92,000–$137,500 per year, with potential incentive compensation and equity.

Company

hirify.global is a cybersecurity intelligence company serving more than 1,900 clients worldwide in a B2B SaaS environment.

What you will do

• Partner with marketing stakeholders to translate data into planning, investment, campaign, and business-impact insights.
• Build, maintain, and refresh dashboards and reports across HockeyStack, Salesforce, Domo, Adobe CJA, and similar platforms.
• Analyze funnel performance, lead acquisition, conversion, velocity, opportunity progression, campaign effectiveness, and ROI.
• Validate metrics across systems, troubleshoot discrepancies, and help build a scalable marketing data warehouse and governed data foundation.
• Maintain multi-touch attribution models and partner with field marketing, revenue operations, Sales, and BDR teams on lead-to-opportunity and pipeline measurement.
• Build API and MCP data-access workflows, reusable reporting templates, lightweight data products, and AI-powered automation to increase analytics throughput.

Requirements

• 3+ years of experience in marketing analytics, marketing or revenue operations, or a related analytical field, ideally in a B2B SaaS environment.
• Strong proficiency building dashboards and reports with HockeyStack, Domo, Tableau, Sigma, or similar BI and visualization platforms.
• Hands-on experience with CRM data, particularly Salesforce, and marketing automation platforms such as Marketo or HubSpot.
• Hands-on experience applying AI or LLM tooling to analytics or operations workflows.
• Experience building automations or integrations through APIs; familiarity with MCP is a plus.
• Working knowledge of SQL and/or Python for data analysis and cross-system data work.
• Understanding of the marketing funnel, lead lifecycle, and attribution concepts including multi-touch, first-touch, and last-touch attribution.
• Strong analytical and problem-solving skills, curiosity, initiative, and the ability to translate data into clear recommendations for non-technical stakeholders.

Nice to have

• Experience with data warehousing, such as Snowflake, and data-quality, ETL, or data-pipeline processes.
• Exposure to customer journey analytics, such as Adobe CJA.
• Marketo or Salesforce certification.
• Previous experience in a high-growth enterprise SaaS company.

Culture & Benefits

• Inclusive workplace representing more than 40 nationalities and centered on high standards, inclusion, and ethical conduct.
• Medical, dental, vision, and life insurance, 401(k), potential incentive compensation, and equity eligibility.
• Equal opportunity and affirmative action employment practices.
• Accommodation and special assistance are available during the application process.

Hiring process

• Final-round candidates must complete either an in-person interview or a live, scheduled video conference with the hiring manager.
• Interviews are not conducted through instant messaging or text.