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Senior product manager, ai transformation

Sydney
Crypto.Com
Product Manager
Posted: 28 April
Offer description

What You Will Own

* 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

What We Are Looking For

* 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 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
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