Central Planning Manager (AI)

Location: San Mateo, United States; hybrid.

Salary: $182.6K–$203.5K annually, plus equity.

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Drive the annual Go-To-Market planning process for the COO organization under the GTM Planning Lead.
• Own capacity planning and target-setting across Sales, Field Engineering, and Customer Success, including coverage, headcount, productivity, booking, consumption, and pipeline-generation targets.
• Build and maintain scenario models covering headcount, ramp assumptions, productivity, hiring requirements, pipeline, compute supply, and revenue trade-offs.
• Maintain planning frameworks and analytics for capacity, quota attainment, productivity, and in-year adjustments.
• Partner with Finance, Field Operations, GTM leadership, and GPU management to align targets, staffing, compute supply, and GPU demand forecasts.
• Build automated business-plan modeling processes and partner with Data Engineering and GTM Engineering on reproducible, auditable source-of-truth data.

Requirements

• 6+ years of experience in GTM planning, quota setting, and/or productivity-focused revenue operations workstreams.
• Strong understanding of go-to-market design and sales planning, including the relationship between capacity, quota, and pipeline targets.
• Significant experience presenting analysis to senior leaders and partnering closely with Director- and VP-level leaders.
• Advanced analytical and financial modeling skills with the ability to generate high-value insights.
• Hands-on experience building headcount, ramp, and quota capacity models for a consumption-based or hybrid commit-plus-usage business.
• SQL and BI fluency, plus experience with a planning or forecasting platform such as Anaplan, Clari, or Xactly.
• BA/BS degree in engineering, accounting, finance, economics, or another quantitative field preferred.

Nice to have

• Experience at an AI/ML infrastructure, developer tools, or API-first company.
• Familiarity with manager overrides, overlay roles such as Sales Engineers or Field Engineers, marketplace and channel nuances, and self-serve-to-sales-assisted conversions.
• Experience planning through a period of hypergrowth.
• Background in investment banking, finance, or management consulting.

Culture & Benefits

• Work in a fast-growing environment focused on AI infrastructure and scalable model serving.
• Collaborate with engineers and AI researchers on technology for businesses and developers.
• Emphasis on ownership, direct impact, curiosity, innovation, and limited bureaucracy.
• Inclusive equal-opportunity workplace committed to diversity.
• Equity included in the compensation package.