Strategic Finance Lead R&D

Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.

Maintainer signals as of 9/25/2026

450 Townsend Street, San Francisco, CA 94107, United States
About TRM Labs

TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will partner with R&D leadership to develop financial models, forecasts, capacity plans, and investment cases. You will use AI and automation to analyze cloud, compute, and AI spending, identify optimization opportunities, and turn R&D performance into clear recommendations for executives and the board.

Requirements

  • 7+ years of experience in strategic finance, FP&A, business operations, or a related role
  • Experience owning complex work from analysis through recommendation and action
  • Data-informed financial modeling skills, including driver-based forecasts, investment cases, and capacity models
  • Experience analyzing cloud, compute, AI, or usage-based technology costs
  • Experience partnering with Engineering, Product, Data, AI, or Infrastructure leaders
  • Applied AI fluency for modeling, research, or recurring workflows
  • Ability to learn technical systems and translate infrastructure and AI-product scaling into financial insight

Responsibilities

  • Build AI-assisted driver-based economic models for AI, cloud, and compute investments
  • Identify and support infrastructure-spend optimization opportunities
  • Define AI spend strategy and track spend against ROI
  • Own R&D planning, forecasting, and headcount capacity models
  • Lead investment cases through decision-making and measurement
  • Create executive and board narratives about R&D performance
  • Rebuild R&D finance workflows using AI, automation, and Pigment

Hiring Process

Recruiter intro → hiring manager interview → first round of 1–2 skills-focused interviews → panel-style final round → references → offer → onboarding.