VP of Engineering
Skills
About the Role
You will own the migration of the platform to a new AI-native data pipeline and ensure it is delivered into production without disrupting customer SLAs. You will restore API and core platform latency and reliability, reduce operational load, and increase release velocity. You will rebuild the engineering management layer by setting clear accountability, hiring and performance standards, and improving planning and delivery processes. You will build shared AI-assisted engineering infrastructure to improve developer productivity and drive automation. You will partner closely with product, go-to-market, customer success, and finance to translate engineering investments into measurable customer outcomes and communicate progress and trade-offs to executives and the board.
Requirements
- 10+ years engineering experience with 5+ years leading platform, data, or infrastructure organizations
- Led at least one major platform migration or large-scale rebuild while maintaining continuous customer service
- Operated low-latency, high-availability distributed systems at production SaaS scale
- Production experience integrating AI into engineering workflows, including agent-assisted development and automation
- Strong product partnership instincts and experience shaping what gets built and how it ships
- Proven track record of building accountable, high-ownership engineering organizations
- Direct experience in blockchain or crypto, fintech, payments, fraud or risk platforms, regulatory technology, or large-scale data platforms
Responsibilities
- Own the platform migration end-to-end
- Lead integration of the new data pipeline into all products
- Sequence the migration to preserve revenue and customer trust
- Drive architectural decisions and trade-offs for legacy-to-new transition
- Align engineering, product, and customer success on a single migration roadmap
- Restore API and core platform latency to targets and scale throughput
- Reduce database load and fix stability regressions
- Increase release velocity to multiple deployments per week
- Lead predictable multi-chain platform integrations across 100+ chains
- Establish clear accountability across squad leads, managers, and platform teams
- Set standards for predictable delivery, transparent planning, technical depth, and people development
- Make hiring, performance, and organizational structure decisions
- Build shared infrastructure for AI-assisted engineering and agent tooling
- Drive organization-wide AI productivity with measurable delivery impact
- Reduce OpEx-to-revenue via architecture improvements and automation
- Translate engineering investments into customer outcomes with product and GTM partners
- Communicate risks, trade-offs, and progress to the executive team and board
- Own the engineering budget, hiring plan, and vendor decisions