Senior Product Manager, AI Transformation

About the role

This role focuses on bringing AI-powered features to production, including conversational AI, intelligent onboarding, and automated compliance. The Senior Product Manager will lead dedicated squads comprising ML engineers, data scientists, designers, and backend engineers, guiding these teams from concept to delivery. A key aspect is evaluating and integrating various LLM and GenAI capabilities, balancing innovation with safety and compliance requirements.

The position involves establishing an internal AI enablement playbook to foster the adoption of AI tools across different departments like product, engineering, and operations. Defining clear success metrics for AI features, such as engagement lift, cost reduction, and resolution rates, is crucial. The role also requires managing vendor relationships for AI/ML infrastructure, annotation services, and model providers.

Success in this position means consistently delivering impactful AI products that enhance user experience and operational efficiency. It involves effectively translating complex AI opportunities into actionable product specifications and rollout plans. The Senior Product Manager will report to senior leadership, providing updates on AI transformation progress, return on investment, and strategic direction for AI initiatives within the company.

The salary for this position ranges from $150,000 to $230,000 annually.

Skills that matter here

• AI: This role requires leading initiatives to integrate artificial intelligence across various product features and operational workflows.
• ML: The position involves working with machine learning engineers and understanding ML product development cycles to ship AI features.
• LLM: A deep understanding of large language models is necessary for evaluating, integrating, and fine-tuning these models into product experiences.
• GenAI: The role focuses on leveraging generative AI capabilities to create innovative product solutions and enhance user interactions.
• SQL: Data intuition and comfort with SQL are required for analyzing data, designing experiments, and defining success metrics for AI features.

Who this role suits

• A product leader with at least three years of experience specifically in AI/ML product initiatives.
• Someone who has a track record of successfully bringing AI products like chatbots or recommendation systems to market.
• An individual who can translate ambiguous AI concepts into concrete product specifications and phased rollout plans.
• A person comfortable influencing and aligning senior stakeholders on AI strategy and adoption.

From the employer

• 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
• 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

• Competitive salary
• Medical insurance package with extended coverage to dependents
• Attractive annual leave entitlement including: birthday, work anniversary
• Flexi-work hour and hybrid or remote set-up
• Aspire career alternatives through our internal mobility program
• Work Perks: crypto.com visa card provided upon joining