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Crypto.com este o platformă de criptomonede și tehnologie financiară axată pe facilitarea accesului la active digitale printr-un ecosistem integrat. Produsele sale permit cumpărarea, vânzarea și tranzacționarea Bitcoin, Ethereum și a peste 350 de alte criptomonede, cu opțiuni de plată precum transferuri în EUR, SEPA și Apple Pay sau Google Pay, acolo unde sunt disponibile. Compania oferă, de asemenea, instrumente pentru portofoliu prin Crypto Basket, staking on-chain, un portofel DeFi pentru tranzacții peer-to-peer și funcții concepute pentru a-i ajuta pe utilizatori să exploreze piețele cripto și să obțină recompense. Securitatea, conformitatea cu reglementările și operațiunile autorizate sunt elemente centrale ale platformei sale, în timp ce Crypto.com deservește o bază globală de utilizatori și dezvoltă produse pentru adoptarea mai largă a criptomonedelor.
VP, Product Analytics - Crypto.com (Singapore Hybrid)
Lead AI-enabled product analytics for Crypto.com’s crypto, stocks, prediction-market, and trading products. Build experimentation, reporting, Amplitude, data-quality, and analytics operating systems.
Descriere
- Define the Product Analytics vision, priorities, operating model, and quality standards
- Recruit, coach, and grow a high-performing analytics team
- Review analytics and data-engineering pull requests, setting direction for SQL, data models, pipelines, metrics, and methodology
- Represent Product Analytics in executive forums and product decisions
- Direct team capacity toward the company’s most valuable opportunities
- Create an end-to-end process that turns business questions into trusted decisions through intake, data discovery, analysis, validation, reporting, and knowledge management
- Develop reusable AI tools that automate recurring workflows and increase delivery speed, quality, and consistency
- Implement governance, validation, and human oversight for high-stakes decisions
- Track analytics performance through turnaround time, quality, experimentation throughput, and team capacity
- Build trusted KPIs, source-of-truth metrics, dashboards, and executive business reviews
- Collaborate with Product, Engineering, Data, CRM, Growth, and other functions
- Set experimentation standards for hypotheses, success metrics, guardrails, design, causal interpretation, and rollout decisions
- Own the Amplitude data stack, including instrumentation, event taxonomy, governance, data quality, and warehouse integration
- Establish standards for product instrumentation, analytical models, and data pipelines
- Lead diagnostic analyses of activation, conversion, retention, user behavior, market liquidity, trading execution, and product health
- Define measurement frameworks and success criteria for major product launches
- Oversee post-release evaluations and convert findings into product actions
Cerințe
- Demonstrated experience leading Product Analytics teams in complex, fast-moving organizations
- Strong technical judgment, advanced SQL skills, and experience with modern data platforms such as Databricks
- Experience applying AI to redesign analytics operations, beyond improving individual productivity
- Ability to build AI-enabled workflows, reusable agents or tools, validation controls, and analytics knowledge systems
- Experience owning a product analytics platform; deep Amplitude expertise is strongly preferred
- Strong command of experimentation, causal inference, product measurement, and diagnostic analysis
- Ability to turn ambiguous business questions into rigorous analysis and actionable decisions
- Strong product judgment, people leadership, and executive communication skills
- Preferred experience with consumer fintech, trading, marketplaces, or other transaction-heavy products
- Preferred knowledge of exchange mechanics, market liquidity, and multi-asset products
- Preferred experience leading company-wide adoption of new analytics technologies and working practices
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