Demand Generation Marketing Manager (SaaS)

TL;DR

Demand Generation Marketing Manager (SaaS): Driving high-intent demand across digital channels and optimizing the conversion system to translate marketing investment into qualified pipeline and revenue with an accent on B2B acquisition and full-funnel analytics. Focus on designing structured CRO/A/B testing programs, managing paid media ROI, and tightening Sales-Marketing feedback loops.

Location: Hybrid in New York City Metropolitan Area (must be based in NYC Metro, 3 days per week onsite)

Salary: $115,000 - $130,000 base

Company

hirify.global is a leading technology platform for home and community-based care, providing an end-to-end ecosystem connecting patients, providers, and managed care organizations.

What you will do

• Own the new logo acquisition strategy and drive pipeline contribution to meet revenue targets.
• Operate the public website as a conversion system, improving demo rates and lead quality through structured CRO and experimentation.
• Manage and optimize paid media investments across search, social, and retargeting to maximize ROI.
• Develop acquisition plays using intent data and firmographic signals to target high-propensity segments.
• Analyze full-funnel performance from traffic to Closed Won to drive weekly optimization actions.
• Partner with Sales to improve handoff quality and align SalesLoft outreach with inbound demand signals.

Requirements

• Bachelor’s degree.
• 5–8+ years of experience in growth, performance, or demand generation marketing.
• Proven track record of owning digital acquisition within a B2B SaaS environment.
• Proficiency in GA4, HubSpot, Salesforce, and paid media platforms.
• Must be located in the New York City Metro area.
• Demonstrated ability to own a marketing function autonomously and hit pipeline/revenue targets.

Culture & Benefits

• Competitive health plans and paid time-off.
• 401K retirement program with company match.
• Company paid holidays.
• Fast-paced, high-accountability environment with a strong bias toward experimentation and data-driven decisions.