VP of Engineering

Job not on LinkedIn

🕒 May 20

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🔴 Lead

👮‍♀️ Software Engineering Manager

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Crystal Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

₿ Crypto

📋 Compliance

🔐 Security

💰 Seed Round on 2020-04

Crypto • Compliance • Security

Crystal Intelligence is a company specializing in blockchain analytics and intelligence solutions focused on combating cryptocurrency crime and ensuring compliance. It offers products like Crystal Expert, which are designed for cryptocurrency investigators and compliance teams to monitor transactions and detect fraudulent or illicit activities. The company provides extensive services, including investigative support, training and certification, and advisory for regulatory compliance in the crypto space. Crystal Intelligence supports governments, financial institutions, law enforcement, and regulators with advanced on-chain and off-chain intelligence, helping them to understand and manage risks associated with digital assets and decentralized finance. The company is also involved in publishing insights and reports on crypto crimes and regulatory updates.

📋 Description

• 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 managers, and platform teams • Set the standard for what good engineering management looks like at Crystal: predictable delivery, transparent planning, technical depth, people development • Make the hiring, performance, and structural decisions required to bring the organization to the level the platform demands • Drive AI into engineering as a productivity lever • Build shared infrastructure for AI-assisted engineering: code generation, automated testing, agent-based migration tooling, internal knowledge systems • Move Crystal from individual AI tool usage to organization-wide AI productivity, with measurable impact on delivery throughput • Reduce OpEx-to-revenue through architectural improvements, automation, and reduction of manual operational load • Partner with the business • Work directly with product, GTM, customer success, and finance to translate engineering investments into customer outcomes and revenue • Communicate trade-offs, risks, and progress clearly to the executive team and board • Own the engineering budget, hiring plan, and vendor decisions

🎯 Requirements

• 10+ years engineering experience, with 5+ years leading platform, data, or infrastructure organizations as VP Engineering, Head of Engineering, or equivalent • Led at least one major platform migration or large-scale rebuild, with continuous customer service maintained throughout • Operated low-latency, high-availability distributed systems with multi-tenant SaaS workloads at production scale • Production experience integrating AI into engineering workflows, including agent-assisted development and AI-driven automation • Strong product partnership instincts - you have shaped what gets built and how it ships • Track record of building accountable, high-ownership engineering organizations • Direct experience in one or more relevant domains: blockchain or crypto, fintech, payments, fraud or risk platforms, regulatory technology, or large-scale data platforms

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities