CEO, AI Finance

Job description

About ActAI

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

About the Role

The CEO - AI Finance will build and own our AI-native finance business. The role will identify where AI can fundamentally improve how consumers manage money and build products across spending, saving, investing and other everyday financial needs.

What you will be doing

Define the AI Finance product strategy, roadmap and business model.

Identify financial workflows where AI can materially improve the user experience, cost or speed.

Build AI-native financial products from concept through launch and scale.

Own P&L, customer growth, revenue, unit economics and operating performance.

Work deeply with product, engineering and AI teams on product capabilities and user experience.

Build the core team across product, technology, operations and commercial functions.

Expand into new financial products and markets as the business scales.

What you will need

Strong experience building consumer fintech, financial services or technology products.

Direct ownership of a meaningful product, business or P&L.

Strong understanding of consumer finance, business models and unit economics.

Strong product judgement and understanding of how AI can change existing financial workflows.

Experience building products and teams in high-growth technology environments.

Hands-on operating style - able to work directly through product, AI capabilities, economics and customer problems.