Senior AI Product Manager, Finance Agents

The shape of it

In the posting’s own words

We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.

What it asks for · 3

• 3–6 years of direct experience in the Finance industry in one or more of: investment banking, private equity, trading, asset or portfolio management, strategic finance, corp dev, or a fintech product role, with real depth in how the work gets done.
• AI-Forward Thinking : Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it’s transforming your industry.
• Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).

What the job covers

• Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams.
• Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competitive strategy for the vertical. Connect with AI startups and industry leaders to launch joint benchmarks and build Scale’s brand in Finance.
• Design and scale Finance-specific environments: Scope and build simulations of real Finance workflows and environments (financial models, investment memos, forecasts, dashboards, data rooms, etc) that let labs train and evaluate agents against real world scenarios. Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
• Collaborate cross-functionally — influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.

Tools and skills named

Words the posting leans on

• finance13×
• product9×
• data7×
• industry7×
• agents6×
• workflows5×
• domain4×
• finance industry4×
• financial4×
• labs4×
• real4×
• strategy4×
• training4×
• build3×
• experience3×
• leading3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Scale AI

• AI Advisory ConsultantSan Francisco, CA; New York, NY
• AI Advisory PrincipalSan Francisco, CA; New York, NY
• AI Applications Ops Manager, GPSDoha, Qatar
• AI Builder InternSan Francisco, CA
• AI Infrastructure Engineer, Model Serving PlatformSan Francisco, CA; New York, NY
• AI Infrastructure Engineer, Sandbox PlatformLondon, UK