Product Manager (Crypto Core)

Who You Are 

• Experienced PM: You have 4–6 years of experience in Product Management, with meaningful exposure to fintech, payments, or technical infrastructure. You have a proven track record of delivering under complexity without losing quality.
• Technically Fluent: You don't code, but you are genuinely comfortable reasoning about APIs, asynchronous systems, external integrations, and failure scenarios. You ask "where can this break?" before proposing solutions.
• System-Aware: You understand what it means to work on infrastructure where errors have real financial and operational consequences. You treat reliability and integrity as design constraints, not operational afterthoughts.
• Clear Communicator: You operate as a bridge between engineering and business stakeholders — translating technical constraints into business language and business priorities into clear technical direction.
• Comfortable with Ambiguity: You can operate with partial information and evolving context without losing direction. You escalate risks clearly and early, even when the solution isn't yet defined.
• AI-Native: You actively use AI tools as part of how you work — drafting specs, synthesizing information, analyzing risk, structuring decisions. You apply judgment on top of AI output. You know when to trust it and when to push back.

Nice to have:

• Experience with crypto custody, wallet infrastructure, or blockchain systems
• Exposure to reconciliation, ledger, or treasury-related systems
• Multi-region product experience in regulated environments

What You Will Do 

• Own end-to-end product execution for Crypto Core: prioritization, scoping, delivery, and quality across multi-chain transaction processing and wallet operations
• Coordinate with custody and infrastructure providers to maintain and evolve platform reliability
• Drive cross-squad alignment with transaction orchestration and financial reconciliation teams
• Translate operational and technical signals — incidents, failures, edge cases — into clear product actions
• Surface system risks, inconsistencies, and gaps proactively, and drive them to resolution with the right stakeholders
• Keep engineering focused on high-impact, system-relevant problems
• Use AI tools consistently to raise the quality and speed of your output — specs, analyses, risk assessments, and communications

What Good Looks Like (Year 1) 

• The system maintains or improves its operational reliability — no regressions in critical flows
• Incidents are surfaced earlier, triaged faster, and followed by clear product or system improvements
  
• You have developed a strong understanding of system behavior, including key edge cases and failure modes
  
• Risks and inconsistencies are made explicit and actively managed, not discovered reactively
• You are contributing meaningfully to system-level discussions with engineering and product leadership
• Engineering trusts your judgment and prioritization
• Your use of AI is visible in the quality and consistency of your output — not as a novelty, but as a standard working