Sr Finance Analyst, Product & GTM

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Posted Sep 17, 2026

Remote · US · ask about Worldwide Full Time
$135K – $190K/yr

Overview

This role involves partnering with Product, Engineering, and Go-to-Market organizations to drive data-driven financial decision-making across the full P&L. Reporting to the Director of Product Finance, you will support executive-level visibility and help shape approaches to growth, pricing, and resource allocation.

Responsibilities

  • Act as a strategic finance partner to Product, Engineering, and GTM teams, providing analytical support for business decisions.
  • Model the financial impact of strategic initiatives, including investment decisions, new product launches, efficiency projects, pricing strategy, and go-to-market design.
  • Track and analyze KPIs across Product and GTM to identify opportunities for improvement.
  • Support annual planning and monthly forecast and variance review cycles; forecast accurately and measure performance against forecasts.
  • Work closely with Accounting to ensure accuracy in revenue recognition, commissions, and expense allocation.
  • Synthesize financial results and KPIs for executive and board reporting.

Requirements

  • 3–6 years of experience in a data-heavy analytical role, FP&A, strategic finance, investment banking, or management consulting; ideally with exposure to SaaS or consumption-based business models.
  • Strong bias toward action and intrinsic motivation to tackle challenging problems.
  • Strong data skills, with SQL fluency required; Python experience is a strong plus.
  • Financial modeling expertise in Excel and/or Google Sheets; able to build dynamic, driver-based models independently.
  • Comfort working with large datasets and translating analysis into clear business insights.
  • Strong communication and presentation skills; ability to distill complexity for senior stakeholders.
  • Knowledge of accounting principles, including how financial data flows through revenue recognition, commissions, and expense processes.
  • Familiarity with AI tools and willingness to use them in day-to-day work.
  • Bachelor’s degree in Data Science, Finance, Economics, Business, or a related quantitative field, or equivalent experience.
  • Proficiency with financial planning and BI tools.

Preferred Qualifications

  • Exposure to SaaS or consumption-based business models.
  • Python experience.

Compensation & Benefits

  • Compensation Range: $135K - $190K
  • Healthcare: Employer contributions toward healthcare
  • Equity: Stock options for new team members
  • Time off: Flexible time off in the US; generous entitlement in other countries
  • Home office: USD$500 home office setup for remote employees
  • Flexible/remote-friendly environment: Operates in over 25 countries; globally distributed team
  • Global gatherings: Opportunities to engage with colleagues at company-wide offsites

Location

  • Remote-friendly; globally distributed team (operates in over 25 countries).