Product Manager — AI-Driven Fintech for Modern Finance

Light Inc; Greater London; On-site; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Stock options

25 days annual leave

Public holidays in UK

Social events

Job summary

United States Digital Space LLC is building a Smart Financial Platform to modernize finance operations for global companies. We’re an early team defining a new software category, seeking a Product Manager to own strategy and execution for a core area from 0→1 to scale, turning complex financial workflows into intuitive, AI-powered experiences.

You’ll partner with Engineering, Design and Data, translate ambiguity into structure with clear priorities and metrics, and work with CFOs and finance

Qualifications

• Multi-disciplinary product development experience in high-growth SaaS/AI startups.
• Ability to translate product vision and customer requirements into engineering guidance.
• Influential stakeholder engagement and clear communication at leadership level.
• Practical experience applying AI or emerging tech to improve decision-making.

Responsibilities

• Own the delivery of product strategy and execution for a core area from 0→1 to scale.
• Turn complex financial workflows into intuitive, AI-powered experiences.
• Partner with Engineering, Design and Data to ship high-impact products quickly.
• Define priorities and metrics in alignment with engineering and GTM teams.
• Collaborate with CFOs and finance teams to uncover user insights and automate.
• Make crisp decisions balancing velocity, precision and impact.

Skills

Product development

Vision to guidance

Stakeholder engagement

AI tools experience

Tools

AI tools

Job description

United States Digital Space LLC is building a Smart Financial Platform to modernize finance operations for global companies. We’re an early team defining a new software category, seeking a Product Manager to own strategy and execution for a core area from 0→1 to scale, turning complex financial workflows into intuitive, AI-powered experiences.

You’ll partner with Engineering, Design and Data, translate ambiguity into structure with clear priorities and metrics, and work with CFOs and finance