Method Financial→
Revenue & Finance Operations MBA Intern at Method… · New York
Skills
Job Description
Meet Method
Method has built the most modern way to connect to consumer financial accounts. Combining real-time liability connectivity with instant payment execution, Method’s API is designed to make it easy for people to connect their financial accounts to the apps and services they want to use.
We have helped 45+ million users connect 350+ million liability accounts credential-less and processed over $2.5B in payments, helping users save millions in interest. One in every three credit cards in the United States is in the Method ecosystem and leading financial institutions like SoFi, Bilt, Cleo, Sezzle, Figure & Aven rely on our APIs to build magical experiences for millions of consumers.
We’re a team of 50+ people spread across offices in Austin, SF, New York City, and Washington D.C! We’re excited to continue the momentum working alongside our investors and advisors from Andreessen Horowitz, Emergence Capital, Y Combinator, Avra, and Ardent. To learn more about us, check out our blog!
The Impact
As our Revenue and Finance Operations Intern, you will help build the systems and insights that power Method’s GTM and finance engine. You will work across revenue operations, strategic finance, and business operations to improve reporting, sharpen forecasting, and turn messy data into clear decisions.
This is a high-ownership role with real impact. You will build dashboards, improve data quality, analyze funnel performance, and translate pipeline signals into revenue forecasts that inform our broader ARR outlook. You will identify where we are gaining traction, where we are losing efficiency, and what we should do differently.
You will work directly with our Growth Lead and Head of Strategic Finance & BizOps on high-priority projects across GTM reporting, demand generation analytics, forecasting, and process improvement. This is not a shadowing role. You will own meaningful work end to end and build systems that continue to add value after your internship.
Type: Summer internship, ~10 weeks starting May/June 2026
Location: Hybrid (NYC, SF, Austin, or DC)
Compensation: $150,000 – $200,000 base salary annualized
What you'll do
Streamline and Automate Finance and RevOps data and reporting systems: Establish systems and processes to ensure we have actionable data to effectively assess and improve GTM and Financial performance. Design and implement workflows to automate our reporting.
Generate Insights to optimize GTM performance: Dive deep into our GTM data and reports to identify focus areas to improve GTM performance. Partner with the GTM leadership team to implement process improvements.
Instrument the Demand Gen Funnel: Build dashboards to track account engagement, outreach performance, and pipeline conversion. Improve data quality and funnel visibility through stronger tracking processes.
Support GTM forecasting: Turn pipeline and funnel data into revenue forecasts that inform business outlook. Build the logic, assumptions, and reporting needed to improve forecast accuracy and decision-making.
Who you are
Currently pursuing an MBA, with preference for rising second-years
Bring 3+ years of pre-MBA experience in revenue operations, sales operations, strategic finance, management consulting, or investment banking
Know your way around GTM tools like Salesforce, Clay, and Ironclad, and can build dashboards and reports that drive real usage and decisions
Thrive in fast-paced environments, juggle multiple priorities well, and stay effective in ambiguity
Love working with data and bring strong analytical rigor and attention to detail
Comfortable using Claude Code and other LLM tools in day-to-day work
Communicate clearly and confidently with senior stakeholders
Extra awesome
Experience with Salesforce and GTM systems administration or reporting
SQL, Python, or workflow automation experience
Background in fintech, API-first businesses, or B2B SaaS infrastructure
Experience with financial modeling, forecasting, or pipeline-to-revenue analysis