Marketing Analytics Manager (AI)

Location: USA - Remote or USA - South San Francisco, California

Base salary: $157,000–$198,000 USD annually, plus bonus, equity, and benefits.

Company

hirify.global develops life sciences and scientific tools, with a marketing organization operating B2B and e-commerce funnels.

What you will do

• Own and document the marketing data model, funnel stages, metric definitions, attribution logic, and metric dictionary.
• Deliver end-to-end marketing measurement with clear narratives, visualizations, recommendations, and executive reporting.
• Partner with commercial, product, and digital marketing leaders to diagnose channel performance, funnel leakage, and segment opportunities.
• Own lead quality measurement, including MQL definitions, lifecycle metrics, lead scoring validation, and pipeline analysis.
• Build self-serve datasets and documented endpoints alongside curated dashboards, recurring digests, and narrative summaries.
• Maintain data quality checks and AI-assisted analytics tools while representing marketing analytics needs across the Salesforce Marketing Cloud, Segment, and e-commerce technology changes.

Requirements

• 7–10+ years of experience in marketing analytics, business analytics, or a related field, including B2B funnel experience.
• Demonstrated ability to turn data into insights and recommendations that influence business decisions.
• Strong storytelling, communication, data visualization, and senior stakeholder presentation skills.
• Hands-on fluency with AI tools such as Claude, Gemini, or similar, including validating analytical outputs.
• Working proficiency in SQL and Tableau, with comfort using a cloud data warehouse; Snowflake is preferred.
• Practical knowledge of attribution, campaign tracking, funnel and lifecycle metrics, lead scoring, and collaborative analytics enablement.

Nice to have

• Life sciences, biotech, or scientific-tools experience.
• E-commerce analytics experience across mixed B2B and self-serve funnels.
• Salesforce Marketing Cloud or Marketo experience.
• Experience with semantic layers, metric catalogs, data dictionaries, predictive modeling, or central BI teams.

Culture & Benefits

• Individual contributor role with no direct people management.
• Marketing owns a governed Snowflake data product layer with support from the central BI team.
• Role is eligible for bonus, equity, and a generous benefits package.
• Data engineering, pipeline ownership, and product analytics are handled by separate teams.