VP of Engineering

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

📋 Description

• Take full ownership of the platform migration process from start to finish.

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

• Plan the migration sequence to maintain revenue and customer confidence, ensuring no SLA regressions, rollback issues, or unexpected downtime occur.

• Drive architectural decisions and trade-offs necessary for the transition from legacy to new systems, encompassing data model alignment, service-by-service cutover, and parallel-run validation.

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

• Reinstate the foundational elements of the platform.

• Achieve targeted API and core platform latency: 1,000 RPS at under two-second latency, with the goal of scaling to 10k RPS.

• Decrease database load, rectify stability regressions highlighted by recent releases, and enhance release velocity to support multiple deployments each week.

• Oversee the multi-chain platform with discipline across more than 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 define clear accountability among squad leads, engineering managers, and platform teams.

• Set the benchmark for exemplary engineering management at Crystal, emphasizing predictable delivery, transparent planning, technical expertise, and people development.

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

• Integrate AI into engineering as a means to enhance productivity.

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

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

• Lower OpEx-to-revenue ratios through architectural enhancements, automation, and the reduction of manual operational burdens.

• Collaborate with business teams.

• Engage directly with product, GTM, customer success, and finance teams to translate engineering investments into customer outcomes and revenue growth.

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

• Manage the engineering budget, hiring strategy, and vendor decisions.

⛳️ Requirements

• Over 10 years of engineering experience, with a minimum of 5 years in leadership roles within platform, data, or infrastructure organizations as VP Engineering, Head of Engineering, or a similar title.

• Successfully led at least one major platform migration or large-scale rebuild while maintaining continuous customer service.

• Experience operating low-latency, high-availability distributed systems with multi-tenant SaaS workloads at production scale.

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

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

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

• Direct experience in one or more relevant sectors: blockchain or crypto, fintech, payments, fraud or risk platforms, regulatory technology, or extensive data platforms.

🏝️ Benefits

• Opportunities for professional development.