VP of Engineering
Crystal IntelligenceAbout Crystal
Crystal Intelligence is a blockchain analytics and compliance intelligence company serving exchanges, financial institutions, regulators, and law enforcement across 100+ blockchains. Our customers depend on us for low-latency, high-availability risk and transaction intelligence that powers operational decisions.
Crystal is entering the most consequential platform shift in its history: a full migration from our current data architecture to a new, AI-native data pipeline that will define the company's next decade of scale, speed, and product capability. This is the role that owns it.
Role summary
Crystal's engineering organization has grown organically. The current architecture serves a large and loyal customer base, but it is reaching the limits of what feature-driven growth can sustain. In parallel, we have built a new data pipeline architecture led by a dedicated platform team.
The strategic priority for 2026 is to migrate Crystal end-to-end from the legacy stack to the new pipeline - without disrupting customer SLAs, while continuing to ship the product roadmap, and while rebuilding engineering management discipline. The VP of Engineering will own this migration.
The mission is concrete: deliver the new pipeline into production behind every Crystal product, restore platform-grade latency and reliability, and convert the existing organization into one that ships predictably and uses AI as a productivity multiplier.
What You’ll Do
Own the platform migration end-to-end
Lead the integration of the new data pipeline into all Crystal products: Crystal Expert, Crystal Foresight, Monitor, Risk Check API, Data Intelligence, and Crystal Light
Sequence the migration to preserve revenue and customer trust: no SLA regressions, no rollback drama, no surprise downtime
Drive the architectural decisions and trade-offs that the legacy-to-new transition requires, including data model alignment, service-by-service cutover, and parallel-run validation
Hold engineering, product, and customer success aligned on a single migration roadmap with clear customer-impact gates
Restore platform foundations
Bring API and core platform latency back to target: 1,000 RPS at sub-two-second latency, scaling toward 10k RPS
Reduce database load, fix stability regressions exposed by recent releases, raise release velocity to multiple deployments per week
Lead the multi-chain platform with discipline across 100+ chains: predictable integration timelines, accountable squad ownership, clear SLAs to commercial partners
Rebuild the engineering management layer
Partner with the existing engineering leadership to establish clear accountability across squad leads, engineering manag
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