Product Manager, Financial Systems
Seattle, SF, Remote in the US
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Who we are
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 Finance Systems team is at the core of Stripe to empower mission-critical domains including Accounting, Finance & Strategy, Tax, Regulatory Reporting and Treasury. The team builds financial products, tools and applications for the Finance team led by Stripe’s CFO. The various applications include analytics and insights, accounting, auditing, financial planning & forecasting, and financial business intelligence.
What you’ll do
As a Product lead on Finance Systems, you’ll be responsible for driving the development and long term strategy for finance products and tools that leverage AI-driven technologies, ensuring efficient financial operations, forecasting, and data insights. This role requires a strategic thinker with a strong understanding of financial processes, paired with a passion for AI and its applications in automating, optimizing, and predicting business outcomes. you’re passionate about solving business problems and making a direct impact on customers, you are comfortable in dealing with lots of moving pieces; and you’re comfortable leading large projects with new technologies and systems. It’s a chance to have a huge impact on increasing the GDP of the internet!
Responsibilities
- You will articulate the product vision, develop annual and quarterly plans to deliver these solutions to our users and make them successful
- Shape the direction and product strategy for solving needs of finance users
- Collaboratively partner with other Stripe teams (engineering, accounting, tax, compliance, etc.) to understand their pain-points and develop plans to build delightful and helpful user experiences
- Ensure we’re building in a scalable, performant way
- Drive large projects that span multiple engineering groups and across multiple functions (engineering, TPM, product, business). Work in a collaborative environment involving different stakeholders and subject matter experts
Who you are
Minimum Requirements
- Experience: 10+ years of experience in product management, with at least 2 years focused on finance systems and AI-powered products.
- AI Expertise: Strong understanding of AI/ML technologies and their application in financial processes such as automation, anomaly detection, forecasting, and intelligent reporting
- Technical Proficiency: Experience working with engineering teams to build AI features; familiarity with AI/ML concepts, data pipelines, APIs, and cloud platforms.
- Analytical Skills: Strong data analysis skills, with the ability to translate complex financial data into actionable insights.
- Collaboration: Proven ability to work with cross-functional teams including finance, data science, engineering, and compliance.
- Leadership: Strong leadership and project management skills, with experience guiding product development from ideation through execution
Preferred qualifications
- Knowledge of financial systems (ERP, accounting platforms, budgeting tools) & finance processes (FP&A, treasury, audit)
- Familiarity with finance systems (e.g., SAP, Oracle, Workday) and AI/ML platforms (e.g., TensorFlow, PyTorch).
- Excellent verbal and written communication skills to present AI-driven product solutions to stakeholders at all levels.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Business Intelligence Data analysis Data pipelines Engineering Finance Machine Learning Oracle Pipelines PyTorch TensorFlow
Perks/benefits: Career development
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