
Strategic Finance Lead, R&D
Posted Oct 2

Posted Oct 2
This is a fully remote position, open to applicants in United States.
• Develop an AI-driven, driver-based economic framework that links usage and billing data across numerous SKUs to forecasts and investment decisions.
• Discover opportunities for optimizing infrastructure spending and collaborate with Engineering to lower R&D costs while maintaining product velocity.
• Establish TRM's AI expenditure strategy alongside the Head of AI and monitor expenses against ROI by tool and workload.
• Oversee planning, forecasting, and the R&D headcount capacity model, implementing automated workflows to identify risks.
• Direct infrastructure and R&D investment initiatives from business case development through decision-making and evaluation.
• Craft narratives for executives and the board that elucidate R&D performance, changes, causes, and suggested actions.
• Revamp R&D finance utilizing AI, automation, and Pigment.
• Collaborate with the CTO and R&D leadership; report to the Head of Strategic Finance and FP&A.
• Deliver an initial AI-assisted GCP cloud forecast within 30 days, an AI expenditure strategy within 60 days, and an integrated R&D capacity model within 90 days.
• Engage in regular CTO/R&D working sessions, monthly cost and forecast evaluations, quarterly headcount-capacity planning, and annual Pigment planning cycles.
• 7+ years of experience in strategic finance, FP&A, business operations, or a similar field.
• Proven track record of managing significant projects from inception through to actionable recommendations.
• Strong skills in data-informed modeling, including driver-based forecasts, investment cases, and capacity models developed from incomplete or complex data sets.
• Practical experience in analyzing costs associated with cloud, compute, AI, or other usage-based technologies.
• Experience collaborating with leaders in Engineering, Product, Data, AI, or Infrastructure.
• Strong judgment and communication skills to establish trust with senior technical leaders.
• Practical fluency in AI, including leveraging AI to enhance modeling, research, or routine workflows while verifying output reliability.
• Eagerness to quickly learn technical systems and translate AI products and modern infrastructure into financial insights.
• Ability to thrive in ambiguity, adapt to rapid changes, take high ownership, collaborate effectively, and solve problems creatively.
• Competitive benefits, wellness programs, and time off, varying by country and local employment laws.
• A distributed-first/remote work environment.
• Significant ownership from the first day.
• Direct interaction with the CTO and the executive team.
• An opportunity to influence R&D finance operations.
• Potential to build a team as the mandate expands.
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