Revenue Strategy & Planning Manager (SaaS)

TL;DR

Revenue Strategy & Planning Manager (SaaS): Driving predictable revenue growth by strengthening forecasting discipline and improving pipeline visibility with an accent on data-driven decision-making and operational excellence. Focus on building scalable revenue models, supporting annual planning cycles, and partnering with leadership to optimize go-to-market execution.

Location: Must be based in the United States. Ability to work Eastern Time (ET) hours is required.

Salary: $134,500 - $160,952 USD

Company

hirify.global is a market leader in AI Search, powering predictive search and discovery experiences for over 17,000 businesses at internet scale.

What you will do

• Own and improve the revenue forecasting framework, including methodology, governance, and weekly/quarterly cadence.
• Build and maintain performance models to provide actionable insights on pipeline health, conversion, and gap-to-plan.
• Support annual and quarterly planning cycles, including territory strategy, capacity planning, and quota assumptions.
• Partner with the GTM AI Ops & Automation function to integrate intelligence into the revenue operating rhythm.
• Prepare executive-ready reporting for business reviews, Revenue All Hands, and Pipeline Council meetings.
• Collaborate cross-functionally with Finance, Marketing, and Customer Success to improve data quality and reporting consistency.

Requirements

• 4+ years of experience in Revenue Operations, Sales Strategy, FP&A, or related analytical roles in a B2B SaaS environment.
• Must be based in the United States and able to work Eastern Time (ET) hours.
• Advanced revenue modeling skills and deep understanding of SaaS GTM metrics.
• Salesforce proficiency is required; experience with forecasting tools like Clari or Gong is strongly preferred.
• Strong executive communication skills with the ability to influence decision-making through data.
• Proven project management and stakeholder management experience across GTM teams.

Nice to have

• Experience with BI tools such as Looker, Tableau, or Thoughtspot.
• SQL or data warehouse experience.
• Familiarity with CPQ or product-level revenue analysis.
• Experience supporting global or multi-segment revenue organizations.

Culture & Benefits

• Flexible workplace model with autonomy to choose work location.
• High-trust environment focused on impact and output.
• Commitment to diversity, inclusion, and a collaborative, low-ego team culture.
• Opportunity to work at a high-growth, market-leading AI company.