Senior Financial Analyst, R&D Finance

See yourself at Twilio

Join the team as Twilio’s next Senior Financial Analyst, R&D.

About the job

Twilio is seeking a motivated, curious, and collaborative Senior Financial Analyst to join our R&D Finance team. As Twilio enters the “Unified Platform” era—consolidating SendGrid, Voice, and Messaging into a single unified SDK and Console—and accelerates the rollout of advanced platform features like Agent Connect and Conversation Relay, our R&D Finance organization is evolving its structure to move from tactical execution to elevated strategic partnership.

In this high-impact role, you will serve as the primary autonomous finance partner for our R&D engineering and product teams. The scope of this role is focused exclusively on Cloud infrastructure costs (AWS and hosting spend), which are becoming increasingly complex as Twilio builds in a platform context, with our global hosting infrastructure spend approaching ~$470M annually. This position requires an independent thinker who understands the underlying platform architecture and can translate technical platform adjustments into dynamic financial forecasting while navigating unpredictable, non-linear cloud billing layouts.

Responsibilities

In this role, you’ll:

• Strategic Business Partnership: Act as an autonomous finance partner to R&D, Product, and Engineering leadership. Lead cross-functional conversations to determine whether infrastructure cost surges are driven by healthy customer volume growth or inefficient engineering configurations.
• Cross-Functional Collaboration: Partner seamlessly across Accounting, Engineering, FP&A, and FinOps teams to ensure accurate COGS/OpEx accounting classifications and product-line allocation of cloud costs, while driving upstream process automation and data integrity.
• Dynamic Financial Forecasting: Lead the monthly and quarterly forecasting process for R&D hosting infrastructure. Build dynamic models capable of managing complex, non-linear cloud billings from major providers and LLM partners.
• Operational Variance Analysis: Conduct deep-dive variance analyses and link financial outcomes directly to usage changes driven by product/market dynamics, translating technical platform adjustments into clear financial impacts.
• Cost-Containment Optimization: Proactively identify engineering cost-containment opportunities and partner with product managers to design and track cloud cost-efficiency strategies while maintaining platform performance.
• Financial Modeling: Lead strategic projects, analysis, deepdives and ad-hoc modeling to support key business decisions and investments.