Stripe6449 CTO Finance & StrategyRemote

Finance & Strategy Partner, Central Engineering

Remote US, SF, SEA, NYC, CHIFull-timeStaffSalary: Not disclosed
Posted Sep 4, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationRemote US, SF, SEA, NYC, CHI
Job typeFull-time
SalaryNot disclosed
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Staff
Work style
Remote
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
SQLPaymentsData Science

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Company insights

40

Happiness score

40/100

Based on 30 verified employee signals

Stripe reports 41% first-half revenue growth

Stripe told investors that first-half 2026 revenue rose 41% year over year and free cash flow increased 43%, according to an investor letter obtained by Axios.

mid-2026From the webAxios

Stripe appoints Eileen O'Mara vice chair and Tyler Bryson CRO

Stripe named former chief revenue officer Eileen O'Mara vice chair and promoted Tyler Bryson, who joined in 2025 after more than two decades at Microsoft, to chief revenue officer.

mid-2026From the webStripe Newsroom

Stripe unveils 288 products and features at Sessions 2026

Stripe's launches included Link wallets for AI agents, an expanded Agentic Commerce Suite, stablecoin-backed cards in 30 countries, and broader access to its Managed Payments product.

spring 2026From the webStripe Blog

Employee tender offer values Stripe at $159 billion

Stripe signed a tender offer backed mainly by Thrive Capital, Coatue, Andreessen Horowitz and other investors, providing employee liquidity at a $159 billion valuation.

early 2026From the webStripe Newsroom

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Own forecasting, budgeting, and reporting for AI investments, build and maintain financial models, and drive finance processes and dashboards for engineering initiatives.

What they're looking for

7‑9 years in strategic finance or FP&A, strong grasp of expense accounting, experience with AI cost metrics and tools, and ability to work cross‑functionally with data science and engineering.

Why this role matters

Provides the financial insight and discipline needed to predict and optimize Stripe's R&D spend, ensuring long‑term financial performance and cost efficiency for critical engineering projects.

Fintech requirements

Role verticals

Payments
Company vertical
Payments

Platforms & tools

Stripe
Visa sponsorship: No
Work arrangement: remote

About this role

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Infrastructure Finance and Strategy team is an integral thought partner to Stripe's engineering leadership. We bring understanding and predictability to Stripe's R&D investments and operating expenses. We work cross-functionally across many surfaces at Stripe and help ensure the durability of our long-term financial performance.

What you'll do

We're looking for a Finance and Strategy Partner to join our growing team. You'll help us with the forecasting, budgeting, and reporting for AI investments, including token spend, engineering headcount, and management tools. You'll collaborate with data science, engineering, and finance teams to deliver improvements in our integrated financial systems and metrics, and help drive our strategies for productivity improvement and cost efficiency.

Responsibilities

• Leverage your financial background to support and influence key strategic and business decisions

• Be your business teams' financial partner for analysis and evaluation of strategic projects and initiatives (e.g. foundational investments or business model shifts)

• Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses

• Drive reporting, process, and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)

• Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy

• Partner with cross-functional teams, such as Finance Systems, Data Science, and Infrastructure Engineering, to develop reporting dashboards

• Drive continuous process improvement, standardization, simplification, and reporting enhancements

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7–9 years of relevant experience in strategic finance or FP&A

• Demonstrated experience driving and executing on finance processes (e.g. budget and forecast creation, contract negotiations, headcount envelope management)

• Demonstrated experience using AI tools (coding agents, skills, forecasting tools) to develop data visualizations and explore datasets and developing expertise in new tools quickly

• Fluency in AI cost drivers and metrics, including token caching, reads, and writes, model selection principles, and billing frameworks

• Deep understanding of expense accounting principles including accruals, amortization, and capitalization

Preferred qualifications

• Experience working in corporate finance at a high-growth technology company

• Experience managing headcount and operating expenses

• Experience supporting engineering teams

• Experience with Oracle, Anaplan, or similar financial management applications

• Experience with Claude Code, Codex, Cursor, or similar coding agents

• Experience in data visualization and dashboarding

• Background in investment banking, private equity, corporate development, or consulting

• Strong knowledge of G Suite tools and extracting, analyzing, and evaluating information from large data sets using SQL and large language models

More about this role

About company

Required skills

SQLPaymentsData Science