Financial Modeler (SaaS)

TL;DR

Financial Modeler (SaaS): Building and owning a comprehensive, forward-looking financial model for a 3D capture platform with an accent on SaaS metrics and app store economics. Focus on constructing 3-statement models, creating scenario cases, and integrating cross-functional inputs for strategic decision-making.

Location: Remote (USA)

Salary: $65–$85/hour

Company

hirify.global is a remote-first Series A SaaS company developing 3D capture and spatial computing tools.

What you will do

• Construct a 24-month rolling 3-statement financial model from scratch using historical actuals.
• Develop bear, base, and bull scenario cases with clearly defined assumptions and risk factors.
• Model revenue by business line, incorporating LTV, CAC, payback periods, and gross margins.
• Collaborate with GTM, Product, and HR teams to validate and encode forecast drivers.
• Maintain the validated forecast in Fathom and track actuals-to-forecast variance monthly.
• Present financial narratives and assumptions clearly to executive stakeholders and investors.

Requirements

• 7–10 years of financial modeling experience, preferably in investment banking, FP&A, or venture-backed startups.
• Expert-level proficiency in Google Sheets for hands-on, detail-driven model development.
• Demonstrated experience building 3-statement models (P&L, balance sheet, cash flow) from scratch.
• Direct experience with SaaS metrics such as ARR/MRR, NRR, churn, CAC, and LTV.
• Strong familiarity with Apple App Store, Google Play, and Stripe commission structures.
• Must be based in the USA.

Nice to have

• Experience supporting Series A or B SaaS companies.
• Prior experience with Fathom, QuickBooks Online, Ramp, or Gusto.
• Experience supporting board reporting cycles or investor relations processes.

Culture & Benefits

• Remote-first work environment with a high bar for accountability and financial discipline.
• Flexible PTO policy and one company-wide recharge day off per quarter.
• $1,500 annual budget for certifications, courses, and professional training.
• In-person team-specific meetups and biannual field trips across the nation.

Hiring process

• Phase 1: A 6-8 week fixed-price engagement focused on rapid assessment and model rebuild.
• Phase 2: Transition to an ongoing monthly retainer for forecast maintenance and updates.