Senior Product Manager, AI Transformation

Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross-functional team members to ship remarkable features and products.

• Ship AI-powered features to production: conversational AI (chatbots, copilots), intelligent onboarding, smart trading assistants, automated compliance workflows
• Lead cross-functional squads of ML engineers, data scientists, designers, and backend engineers to deliver AI products end-to-end
• Evaluate and integrate LLM/GenAI capabilities (GPT, Claude, open-source models) into product experiences — balancing innovation speed with safety and compliance
• Build the internal AI enablement playbook: drive adoption of AI tools across product, engineering, and operations teams
• Define success metrics for AI features (engagement lift, cost reduction, resolution rate, NPS) and run rigorous A/B tests
• Manage vendor relationships for AI/ML infrastructure, annotation, and model providers
• Report to senior leadership on AI transformation progress, ROI, and strategic direction

• 10+ years in product management, with 3+ years leading AI/ML product initiatives in production
• Proven track record of shipping AI products at scale — chatbots, recommendation systems, NLP features, intelligent automation, or AI agents that served real users
• Deep understanding of LLMs, prompt engineering, RAG architectures, fine-tuning, and evaluation frameworks — you can hold your own in technical discussions with ML engineers
• Experience with conversational AI platforms (e.g. Dialogflow, Rasa, custom LLM-based agents) and measuring their effectiveness
• Demonstrated ability to translate ambiguous AI opportunities into concrete product specs, build-vs-buy decisions, and phased rollout plans
• Strong data intuition — comfortable with SQL, analytics dashboards, and experiment design
• Experience in fintech, crypto, or high-compliance environments is a strong plus
• Ability to influence and align senior stakeholders (C-suite, engineering leads, compliance) on AI adoption strategy
• Bachelor's degree in CS, Engineering, or related field; advanced degree in AI/ML is a plus but not required — shipped products matter more than credentials