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).