Product Finance Manager, Foundations at OpenAI

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

YesVisa

Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should have 6+ years of experience in product finance, corporate finance, investment banking, or buy-side investing, with at least 2 years in banking and 3 years in operations or investing. Strong financial modeling skills, advanced proficiency in Excel/GSheets, and hands-on experience with SQL are required. Experience with Databricks, operational rigor including P&L allocations and data integrity, cross-functional partnering with product, engineering, and data science teams, strong analytical skills, enthusiasm for technology and AI, and curiosity about compute economics are also expected.

Responsibilities

The Product Finance Manager will consolidate product revenue and margin forecasting, deliver leadership reporting packages, and develop frameworks for product ROI and automated P&Ls. This role involves connecting product forecasts with compute demand, driving margin optimization through collaboration, ensuring scalable systems with Integrity and Financial Engineering teams, supporting headcount and OpEx planning, and improving forecasting and reporting processes with Accounting and Corporate Finance.

Skills

Financial Forecasting

Reporting

Unit Economics

Financial Strategy

Data Analysis

Product Finance

Revenue Forecasting

Pricing Strategy

ROI Analysis

Automation

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees