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SeniorFull-timeRustMachine LearningAgile
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Strategic Finance & FP&A Analyst to join Serve Robotics, a company reimagining urban delivery through robotics. This role will play a critical part in driving strategic decision-making and supporting business development initiatives.
Key Responsibilities
- →Own and enhance company-wide and functional forecasts, ensuring alignment with strategic priorities
- →Lead development of driver-based financial models incorporating operational, commercial, and strategic assumptions
- →Build and evaluate both top-down and bottom-up financial models
- →Partner with senior leaders to refine forecasts and identify risks and opportunities
- →Build and maintain advanced scenario and sensitivity models to assess financial impacts of strategic initiatives
- →Serve as the primary FP&A partner for Business Development
- →Develop forward-looking forecasts and valuation models to support transaction diligence
- →Lead monthly and quarterly variance analysis
- →Identify emerging trends and risks, and recommend corrective actions
- →Act as a key Pigment power user, owning model design and maintenance
- →Leverage advanced Excel/Google Sheets and productivity tools to streamline reporting
- →Demonstrate strong executive presence and communicate complex financial concepts clearly
Requirements
- ✓4–6+ years of experience in FP&A, strategic finance, or corporate finance
- ✓Demonstrated experience supporting Business Development or M&A-related financial analysis
- ✓Hands-on experience with Pigment
- ✓Strong expertise in budgeting, forecasting, variance analysis, and scenario modeling
- ✓Advanced proficiency in Google Sheets and Excel
- ✓Experience with ERP systems
- ✓Solid understanding of accounting principles and financial statements
- ✓Proven ability to operate with executive presence
- ✓Strong business acumen and analytical skills
- ✓Comfortable operating with ambiguity in a fast-scaling organization
