Product Manager (AI)

TL;DR

Product Manager (AI): Define and launch next-generation GenAI features and client-facing agents for a fraud prevention ML platform with an accent on platform performance, model governance, and cross-functional collaboration. Focus on building AI applications, translating complex technical capabilities into actionable products, and supporting sales processes in high-stakes fraud, risk, and AML domains.

Location: Remote-first with hubs in the Bay Area, NYC, Austin, and Toronto; US and Canada specific benefits

Salary: $190,000–$240,000 USD

Company

Leader in fraud prevention and AML compliance using AI, machine learning, and device intelligence, serving over 300 banks, retailers, and fintechs worldwide.

What you will do

• Define and launch GenAI features and client-facing AI agents.
• Own the ML platform detecting financial crime vectors like synthetic identity and bot attacks.
• Collaborate across Data Science, Engineering, Sales, and Customer Success teams.
• Support RFP processes and model governance.
• Define pricing, sales enablement, and product marketing materials.

Requirements

• Must have 3 years experience as Data Scientist/ML Engineer and 3-4 years as Product Manager
• Experience building AI applications
• Strong technical credibility and focus on platform performance metrics (uptime, latency)
• English proficiency at least B2
• Remote work culture with US and Canada specific benefits

Nice to have

• Experience in Fraud, Risk, AML, or Compliance domains, especially in FinTech.
• Experience tracking platform performance, reliability, and developer experience metrics.

Culture & Benefits

• Remote-first work culture with flexibility and focus on performance over hours.
• Generous cash and equity compensation with early exercise options.
• Health, dental, and vision insurance for employees and dependents in US and Canada.
• 401k / RRSP matching (4%) in US and Canada.
• Home office setup stipend and MacBook Pro provided.
• Monthly meal and social meet-up stipends, annual wellness and learning stipends.