Manager Of Marketing Operations (SaaS)

TL;DR

Manager of Marketing Operations (SaaS): Architecting and modernizing the go-to-market operating system with an accent on AI-forward automation, lead lifecycle orchestration, and scalable infrastructure. Focus on rebuilding GTM systems to support high-growth B2B SaaS segments while ensuring data accuracy and operational efficiency across Marketing, Sales, and RevOps teams.

Location: Must be based in North America (US or Canada)

Salary: $192,000 – $287,000

Company

hirify.global is an AI-native automation platform that helps businesses connect apps and automate workflows to make work more efficient.

What you will do

• Own and optimize the marketing operations infrastructure, including lead management, attribution, and reporting.
• Partner with Demand Gen, Sales, and RevOps to ensure seamless lead flow and funnel management.
• Build and maintain scalable processes for campaign execution and operational efficiency.
• Manage CRM and marketing automation workflows, including lead scoring and lifecycle management.
• Develop reporting frameworks to provide visibility into funnel performance, ROI, and pipeline contribution.
• Identify operational bottlenecks and implement AI-driven improvements to increase organizational leverage.

Requirements

• 7+ years of experience in marketing operations, RevOps, or demand generation in B2B SaaS.
• 4+ years in a leadership position mentoring individual contributors.
• Deep expertise in HubSpot, including lead routing, scoring, and campaign operations.
• Strong analytical skills with experience in funnel metrics, attribution models, and pipeline reporting.
• Proven track record of rebuilding or transforming GTM systems in high-growth environments.
• Ability to thrive in a remote, asynchronous environment balancing strategy with hands-on execution.

Culture & Benefits

• Competitive compensation with equity and bonus opportunities.
• Fully remote, asynchronous work environment.
• Commitment to diversity, inclusion, and equitable pay practices.
• Focus on AI-forward operations and modernizing legacy systems.
• Supportive culture with clear communication and operational rigor.