VP of Engineering

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take full responsibility for the end-to-end platform migration.

• Spearhead the integration of a new data pipeline across all Crystal products: Crystal Expert, Crystal Foresight, Monitor, Risk Check API, Data Intelligence, and Crystal Light.

• Strategically sequence the migration to maintain revenue and customer trust: ensuring no SLA regressions, avoiding rollback issues, and eliminating unexpected downtime.

• Guide the architectural decisions and trade-offs necessary for the transition from legacy to new systems, including aligning data models, implementing service-by-service cutover, and validating parallel runs.

• Ensure alignment among engineering, product, and customer success teams on a unified migration roadmap with clear milestones that impact customers.

• Reinforce platform foundations.

• Restore API and core platform latency to target levels: achieving 1,000 requests per second at sub-two-second latency, with a goal of scaling to 10,000 requests per second.

• Decrease database load, resolve stability issues revealed by recent releases, and increase release velocity to multiple deployments weekly.

• Manage a multi-chain platform with discipline across over 100 chains: establishing predictable integration timelines, accountable squad ownership, and clear SLAs for commercial partners.

• Reconstruct the engineering management layer.

• Collaborate with existing engineering leadership to create clear accountability among squad leads, engineering managers, and platform teams.

• Set the benchmark for effective engineering management at Crystal: ensuring predictable delivery, transparent planning, technical expertise, and development of personnel.

• Make strategic hiring, performance, and structural decisions necessary to elevate the organization to meet the demands of the platform.

• Propel AI integration into engineering as a driver of productivity.

• Develop shared infrastructure for AI-assisted engineering: including code generation, automated testing, agent-based migration tools, and internal knowledge management systems.

• Transition Crystal from individual AI tool usage to organization-wide AI productivity, achieving measurable improvements in delivery throughput.

• Lower operational expenses relative to revenue through architectural enhancements, automation, and minimizing manual operational tasks.

• Collaborate with business stakeholders.

• Engage directly with product, go-to-market teams, customer success, and finance to convert engineering investments into customer results and revenue.

• Clearly communicate trade-offs, risks, and progress to the executive team and board.

• Take ownership of the engineering budget, hiring strategy, and vendor selection.

⛳️ Requirements

• Over 10 years of engineering experience.

• More than 5 years in leadership roles within platform, data, or infrastructure organizations as VP of Engineering, Head of Engineering, or a similar position.

• Experience in leading at least one significant platform migration or large-scale rebuild, maintaining continuous customer service throughout the process.

• Hands-on experience with low-latency, high-availability distributed systems that support multi-tenant SaaS workloads at a production level.

• Practical experience in integrating AI into engineering workflows, including agent-assisted development and AI-driven automation.

• Strong instincts for product partnership; you have influenced what is developed and how it is delivered.

• Proven track record of building accountable, high-ownership engineering teams.

• Direct experience in relevant sectors such as blockchain or cryptocurrency, fintech, payments, fraud or risk platforms, regulatory technology, or large-scale data platforms.

🏝️ Benefits

• Opportunities for professional development.