Cresta
Finance Manager
United States (Remote)
Sponsorship not specified$140k-$170kDetected 12 days ago
Agentic AIFinancial ModelingExcelFP&ALeadershipCommunicationCollaborationOrganizational Skills
About the role
- As Finance Manager, you'll be the operational engine of our FP&A function - owning financial planning, headcount management, and reporting while partnering with RevOps on GTM capacity planning and supporting Deal Desk on pricing.
- Director of FP&A with high visibility into company leadership.
- High-ownership, high-impact, and broad in scope.
Responsibilities
- Financial Modeling & Headcount Planning Maintain the company financial model with a focus on headcount planning across departments.
- Manage the HC request and approval process with HR, Recruiting, and department leads.
- Own budget tracking and proactively flag variances.
- GTM & RevOps Partnership Own sales and pipeline generation capacity planning models with RevOps. Support Deal Desk with ad-hoc pricing analysis and own the deal desk pricing and cost model.
- Close Reporting Prepare month-end and quarter-end close reporting packages. Build KPI dashboards and surface insights for leadership in clear, accessible narratives.
- Financial Software Tool Implementation Partner with the Sr. Director of FP&A to implement a modern Financial Planning solution, migrating our planning processes off Excel.
- GTM & RevOps Partnership Own sales and pipeline generation capacity planning models with RevOps.
- Support Deal Desk with ad-hoc pricing analysis and own the deal desk pricing and cost model.
- Build KPI dashboards and surface insights for leadership in clear, accessible narratives.
- Financial Software Tool Implementation Partner with the Sr.
Requirements
- Curiosity and initiative matter more than prior experience with any specific tool.
- 4-7 years of FP&A experience, ideally at a high-growth SaaS or technology company
- Experience with headcount planning and cross-functional budget management
- We're looking for someone who actively explores and applies AI tools - including Claude - to automate workflows, improve analysis, and work smarter. Curiosity and initiative matter more than prior experience with any specific tool.
- Strong financial modeling skills in Excel with eagerness to move into a modern EPM platform
- Comfortable working with GTM data and partnering with RevOps or Sales Finance
- Highly organized, detail-oriented, and an effective communicator with non-finance stakeholders
- Self-starter who thrives with ownership in a fast-paced environment
- Nice to Have
- Benefits
- Competitive compensation & equity, aligned with experience and market benchmarks
- Comprehensive medical, dental, and vision insurance
- Remote-first culture with opportunities for in-person collaboration
Nice to have
- Exposure to Deal Desk, pricing analysis, or sales capacity modeling
- Prior experience at a Series B-D startup
Compensation
- $140,000 - $170,000 + Equity
- Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people.
- We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
- The posted base salary range represents what we expect to pay for this role in a given location.
- In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
Benefits
- Professional development budget for courses, conferences, and ongoing learning
- Generous PTO and holidays
- Final offers are shaped by factors like experience, skills, education, and geography.
- In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
Company info
- Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
- We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
This listing is sourced directly from Cresta's careers page and normalized into a canonical job model.