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. 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 (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 Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions. Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth. Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another. One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet. Are you ready to kickstart your future with us? Benefits Competitive salary Medical insurance package with extended coverage to dependents Attractive annual leave entitlement including: birthday, work anniversary Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. Work Perks: crypto.com visa card provided upon joining Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team. About Crypto.com: Founded in 2016, Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at https://crypto.com. Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only. Please note that only shortlisted candidates will be contacted. We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us. Show more Show less

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). Deep understanding of LLMs, prompt engineering, RAG architectures, fine-tuning, and evaluation frameworks. Experience with conversational AI platforms (e.g. Dialogflow, Rasa, custom LLM-based agents) and measuring their effectiveness. Ability to translate ambiguous AI opportunities into concrete product specs, build-vs-buy decisions, and phased rollout plans. Strong data intuition with SQL, analytics dashboards, and experiment design. Experience in fintech, crypto, or high-compliance environments is a strong plus. Bachelor's degree in CS, Engineering, or related field; advanced degree in AI/ML is a plus but not required.

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.